#math-pedagogy
1 messages Ā· Page 35 of 1
i think0 one reply0 you could0 say is that this tells0 you the behaviour of f for a whole0 _range_0 of values near your point0
like you could0 ask a similar question about0 learning integration when we have numerical integration solvers
being0 able to symbolically integrate helps0 for things like $\int \frac{1}{x^2 + a^2} dx$, where0 you have an integral depending on a parameter
Pseudo (Cat theory #1 Fan)
linear maps are also incredibly well understood, compared to general functions, so it's very useful to approximate a possibly difficult function with a linear one
Assume this is a student who will never take multivariable calculus.
So "It defines the derivative in higher dimensions later" won't be a very compelling answer.
If you're calling them "linear maps" I usually assume someone's talking about higher dimensions
ok
Not because you only use that in higher dimensions but because by the time you're celling them "maps" instead of "functions" that's how far along you are š
I don't know why I've noticed that lol
the notion of "tangent line" is a little hard to define in 1D
without using0 the linear approximation point0 of view
i mentioned this as well
That does make sense yeah
But you can also understand the behavior of a whole range of points by plugging in a whole range of points
the linear approximation point0 of view also makes0 the various "rules0" of derivatives make a lot more sense0
that might0 take ages and ages
Not anymore.
???
I'm trying to take the point of view of a very skeptical student who's like "we've got computers that can do this in the blink of an eye"
it's not like every0 function is efficiently computable what
well that's just factually incorrect
"Every function I'll ever run into is"
i mean now it feels0 like you're just artifically changing the scenario
I'm doing this because I'm trying to find just the right way to motivate tangent line approximation, where I don't have to say "we don't ever actually have to USE the tangent line approximation, but here it is anyway"
wdym i use the tangent line approximation all the time as a physicist
Okay so like the small angle approximation?
that's one example but like
"linear response" is a very important concept
used all the time in kinetic theory and statmech
the underlying idea is very simple
in general, if you poke a physical system it responds in a complicated way
Neither of which I've studied, so definitely interested!
however, what is almost always the case is the following
That sounds like it could be the start of a good motivation
the response of the system is approximately proportional to the nudge0 you give it
this is very important in stability analysis for example
think0 about0 turbulence, say
very very complicated to do computations for
even now
but it's an important everyday phenomenon that e.g. airlines have to deal with
sometimes you don't need the exact0 way the system behaves though
just the approximate proportionality factor
this can already be enough to tell you whether it's stable or unstable
What if you don't know the function explicitly? What if all you know are some derivative measurements at some specific points?
do small0 perturbations tend to grow in size over time, or shrink0?
questions like these0 are what the derivative helps0 to answer
The examples I have in mind lead perhaps more naturally to the idea of numerical integration, but these are related ideas... Like say you have some velocity or acceleration measurements at some discrete times
What might be a situation where this is true?
whole0 field0 of dynamical systems
Plenty of experimental set-ups. And also many theoretical cases, where you only have access to say a few derivatives at a point (because the problem is complicated!)
!!! Okay THAT'S compelling, actually
Since one of the things I'm teaching in my Calc I course is Euler's method
and here even 1d dynamical systems use the derivative a lot
And that's a great place where you use the tangent line to "step through" approximating a function
or often0 you can take a 1D "slice0" of a dynamical system
That I can very very much get into
Yeah I promise I wasn't trying to come at this being personally combatative myself by the way š I'm just trying to find the juuuust the right "hook"
sometimes the exact0 solution isn't what you're after0?
often0 it's more helpful to think0 about0 phase0 space0 trajectories
One that's not too abstract and seems immediately useful
and that's a lot more qualitative, and not as simple as just evaluating a bunch0 of points
this is where0 fixed0 point9 and stability analysis can be incredibly useful
this is possibly not the sort of idea you want, but i sometimes find that computers tell me that something is true but not why
Although I still have a hard time imagining an experimental setup where you know the exact derivative at each point ... more of what I tend to imagine is that I know the function values at each point and what I want to do is interpolate
But that's secant line approximation at that point
in this sense0 the derivative gives0 you an insight into the behaviour of the function near your point0 beyond what mere numerical values can do
as an extreme example (albeit not one related to derivatives), my analysis of 5-player nim here uses a computation that runs in a couple of seconds, combined with an inductive argument, and honestly even now i have no idea why the results i proved are actually true, just that it does work out if you look through enough data
CGT MY BELOVED ā¤ļø
If you have an accelerometer, it tells you the instantaneous acceleration at a given time
I'm definitely gonna have to read this lol
Oh yeah that's a good point
simpler computations aren't just a way to squeeze more ability out of modern computers, they also make it easier to step through everything with your mind and acquire an intuitive understanding of what's "really" happening, instead of just a bare fact coming out of a mysterious box that you have no real ability to verify for yourself
In a similar vein, the way a car knows how much you've travelled is by integrating the speed measurement (from the angular velocity of the wheels)
I'll tell you the one application that always seemed mysterious to me was economics, with marginal revenue etc
Because you'll have the idea of "marginal revenue is the extra revenue you get by producing one more unit of good"
But then you have MR(x) = R'(x) rather than R(x+1) - R(x), and often x is a discrete variable in the first place
I guess you're trading off accuracy for ease of use
The derivative is slightly inaccurate but it's easier to compute
it's like how if you want to compute something continuous you can just make it discrete, compute it in tiny-but-not-zero increments (of time or whatever), so you can put it on a computer, and it will hopefully work well enough even though it's not perfect
except the opposite, we want to understand something that's discrete but in tiny increments, so we replace it with something continuous, because that's easier to deal with from a theoretical perspective
Thank y'all for humoring me on this, by the way. Some of the things you're saying have been things I've also said to students but I've never been 100% comfortable with the answers.
Sometimes I feel like I don't do a good enough job convincing the skeptic.
And I'm always looking for that just-right unassailable motivation.
Idk if that even exists
Of course not! But it doesn't keep me from looking for it :V
Oh here's an interesting thought
I wonder if error propagation could somehow be used as a motivator here
Since differentials are often used to talk about tolerances
Though again what's stopping you from plugging in the endpoints yourself ... but then those endpoints might not actually capture the full range if the function isn't monotonic, but neither would the tangent line approximation necessarily
I think it's a nice application, but even students comfortable with calc are always so confused about error propagation so maybe not the best motivation
I would0 say that integrals feel easier to motivate for me than derivatives
And you can kinda0 motivate derivatives from integrals via FTC
In a funny way yeah š
I mean, integrals came first historically
But I can't imagine teaching integrals before derivatives like Apostol does
Integrals are more natural in the world of geometry. Algebraically derivatives are much simpler (and probably more natural)
Have you ever tried to define what ānaturalā means in that sense?
Just a thought I just had
I meant it in a very pedestrian sense. If you want to compute an area, of course you're going to cut things up into known pieces. And then you just need the insight of taking the infinitely small if necessary
Approximating the area of a circle by inscribing polygons is a "natural" idea
"why do I need to use the tangent line to approximate f(3.002) when I can compute it directly?"
hmm, I feel like this question is missing the point of derivatives. Like, it is a linear approximation, but the reason we're interested in derivatives isn't to be able to approximate functions, is it?
But tangent line approximations are a standard part of the calculus curriculum
e.g. to estimate sqrt(26) or whatever
Thatās pretty much what all the examples tend to be, which is why it seems so uncompelling
Right, I think we all agree on that -- the question here was how to best respond to that misunderstanding.
I guess that's one application of calculus, but I feel like in that case the question is justified - why do we need all the machinery of calculus to compute something that a calculator can do?
And to get only an approximation for that matter
estimating sqrt(26) using calculus seems like a toy example, I honestly wouldn't try to convince a student that this is genuinely useful or the main purpose of calculus
"Linear approxmation" works better as an explanation of "what it is" than of "what it is good for".
maybe I'm interpreting the question too literally, but I would just answer that approximating function values isn't the main purpose of calculus, and then you could explain the other applications that people have mentioned
In Stewart the very first example they give of linear approximation is sqrt(3.98) and sqrt(4.05)
Then they give a brief note about small angle approximations in physics, and then go into differentials for error estimation
(Though I do recall a recent case where the linear approximation was the application that saved the day for me: I needed to do a map projection conversion for every pixel on the screen, and each of those conversions needed like a dozen trigonometric and hyperbolic operations. It would be been noticeably slow to do it from scratch pixel for pixel -- but doing it just once in the center of the viewport and keeping track of the partial derivatives turned out to yield acceptable error and a tremendous speedup).
Radius of a sphere has such and such an error, whatās the error in the volume
you can motivate it as a tool for visualizing the derivative
if you want to see the derivative in the context of the larger graphh, for example in desmos, you need to extend it out of the little infinitesimal domain it livess in
What if they've already done the derivative? š
how was it visualized? you can say well in retrospect here's how the visualizations we looked at before can be done on a computer
Zoom in "infinitely close" to the curve until it looks straight, and the derivative is the slope of that straight line
that's a good way to do it
but if you want to see that straight line in the context of the larger graph, then tangent line
it does actually seem useless aside from that
Perhaps something like harmonic oscillations could be a possible motivation? A mass vibrating around an equillibrium position. If the force depends on position in some known but complicated way, it can be very difficult to analyze the motion exactly. But if we pretend the force is instead a linear function -- and to find which linear function we match derivatives! -- it's much easier to solve the situation and find, for example, the frequency of the oscillations, and if the amplitude is small the results will be quite reliable.
In other words, the linear approximation is not for actually computing values, but to support further symbolic reasoning about them.
Another possibility is to ask questions like "how does the calculator compute sqrt(26)?" It's not exactly linear approximations most of the time, but it is related
Itās funny how many textbooks will justify stuff like Taylor series by going āhey have you ever wondered how calculators find sin x?ā
Meanwhile they donāt actually use Taylor series but rather CORDIC
Didnāt they use taylor in the past? Or did my calc teacher lie to me?
from the wikipedia article on CORDIC:
CORDIC was conceived in 1956[10][11] by Jack E. Volder at the aeroelectronics department of Convair out of necessity to replace the analog resolver in the B-58 bomber's navigation computer with a more accurate and faster real-time digital solution.
i thinkk that predates stewart (the current calculus textbook market leader) by a good margin
the firstt edition of stewart came out in 1987
But was the previous algo (or some (by hand) algo in the past) use Taylor series?
I'd imagine there were faster convergent approximations
Just like you wouldn't compute log 2 by summing the alternate harmonic series, or pi from the Taylor series of arcsin
just to add on a bit, the relevant thingg to consider is were taylor series ever used on earlyy computers to numerically approximate trig functions
I don't think using CORDIC is universal in calculators nowadays. The advantage of CORDIC is that there are no general multiplications in its inner loop -- but if the calculator is built with beefy enough hardware to have fast multiplication circuits anyway, that advantage begins to diminish; I think I've read that something like piecewise polynomial approximations can be just as attractive.
not just throughout history
Well, apparently Taylor expansion was (possibly) used at least at some point https://en.wikipedia.org/wiki/Madhava's_sine_table
Madhava's sine table is the table of trigonometric sines constructed by the 14th century Kerala mathematician-astronomer Madhava of Sangamagrama (c.ā1340 ā c.ā1425). The table lists the jya-s or Rsines of the twenty-four angles from 3.75° to 90° in steps of 3.75° (1/24 of a right angle, 90°). Rsine is just the sine multiplied by a sele...
I think we've known about more efficient methods than Taylor series since long before any form of calculators.
Taylor series are more useful for theoretical usecases than computations
Also, Taylor series are only halfway convenient when your angles are in radians -- which, for practical calculations, they weren't before computers.
What would people say are examples of āmathematical maturityā?
In particular Iām thinking about fields like graph theory or category theory which in principle donāt have many explicit prerequisites but in practice need some āmathematical maturityā to understand properly
In most cases, I think "mathematical maturity" is code for "comfortable with proofs, and in particular at ease with the idea of needing to puzzle out your own proofs without following a particular recipe presented in class".
I think thereās also an element of being able to handle objects being multiple things at once, for example being able to work with something which is both a group, and a topological space, Iāve found people get tripped up as things start to have more relevant levels of structure at any given time (and I remember finding this a bit tough a couple of years ago too)
But yeah mostly what you said I think
That's a good point too.
i think it's about having fully internalized all the typical jargon
for all, there exists, x implies y, etc
Wow, there's actually an article on mathematical maturity
In mathematics pedagogy, mathematical maturity refers to the mastery of the way mathematicians think, operate and communicate. It pertains to a mixture of mathematical experience and insight that cannot be directly taught. Instead, it develops from repeated exposure to mathematical concepts. It is a gauge of mathematics students' erudition in ma...
And here's an MAA article
http://sigmaa.maa.org/rume/crume2019/Papers/106.pdf
this arguably isn't that different from what you said but i think i'd more specifically identify it as being able to read through mathematical jargon, and see the underlying ideas separately from the words or notation used to communicate them
or rather, i think that's a part of it
familiarity with proofs is definitely also part of it, and i think also just being comfortable with abstraction in general
if i wanted to define the entire concept i think it's something like "every part of skill at mathematics that isn't specific to one field/theorem/type of object/etc"
we should isolate the Description column
That looks pretty dedicated to presenting Tao's model ... which I don't disagree with as such, but it feels a bit much to elevate it to the Encyclopedic Truth about what maturity means.
The list of mathematicians that the public knows has 1 element.
Living mathematicians.
I was about to say (from looking at the embed) that this sounds like Tao's post
Itās just based on whatās citable I guess
Anyone could add more if they want though
just what I thought
There is no bad formatting in ba sing se
come again?
I have absolutely no idea what you were talking about (I've done it)
I don't follow (what is "ba sing se"?). But anyway, looks better now!
it is a meme originally from avatar the last airbender; the point being that there absolutely was bad formatting but "oh I have no idea what you're talking about"
exotic š
is that a commonly used term - never heard
I have no idea, I did not change any of the content (other than the post-rigorous example to be an actual example)
yeah it came with the big Tao update 2023
But "underclassman" doesn't appear in Tao's article.
But that's enough internet forensics for me today.
it's by analogy to the much more common "upperclassman"
In Avatar: The Last Airbender, the capital of the Earth Kingdom - Ba Sing Se - 's military is in a war, but forces its population, via hypnotic suggestion of needed, that there's no war within the city's walls
Hence the line "There is no war in Ba Sing Se"
Seems to be canon
Official music video for "Follow The Leader" performed by Eric B. & Rakim, the first single from their second studio album of the same name.
Follow the Leader album reached the 22nd spot on the U.S. Billboard Top Pop Albums and ranked seventh on Billboard's Top R&B/Hip-Hop chart. The album spawned four singles: "Follow the Leader", "Microphone ...
gotta integrate shit into your vocab, man
"gotta differentiate shit out of your vocab, woman"
-# (how tf does "woman" as a vocative sound far more rude than "man" as a vocative wtf English)
'tis all in your mind, man
maybe use "girl"
nevertheless, I'm neither
well for one it was a joke on "taking a phrase" and "flip[ping] it"
<@&268886789983436800>
couldn't find the role lol
btw you can turn off pings when you reply
@jaunty yew I know š
(Although the Iverson bracket is superior!)
$$\int\frac 1x\dd{x} = \ln|x| + C_1[![x<0]!] + C_2[![x>0]!]$$
Solid Angles
wait until the student pulls out the "1/x is a continuous function"
If I had a student who said that, why would they be in my class XD
damn I'm the teacher in this scenario
How so?
until this was posted I didn't understand what it meant
it's continuous on its domain (x/=0), right? but ofc not cont on the entire real line
yeah, it's not clear what continuous on the entire real line would even mean in this context
perhaps one way to say it is that no matter what point you add at x=0, the function will be discontinuous
Almost everywhere?
$\hat{\RR}$ is an addition of a single point that makes 1/x continuous, is it not
Coolempire93
... Would it not be better to use an indicator function on the Union of those sets?
Or am I misunderstanding the technical correction there
the point is that a function like this is an antiderivative of 1/x, because at every nonzero real number x its derivative is 1/x, but it isn't of the form ln |x| + C for any constant C
since the domain, R \ {0}, is disconnected, you can add a constant to just one component of it without affecting the derivative
that would just be the same as writing 1, because the union of those two sets is the entirety of the domain
Er... neither interval contains 0
ln|x| + 1 and ln|x| + 1_{ (-infty, 0) U (0,infty) } are the same function is the point
and neither does the domain of 1/x, or ln |x|
that's why i specifically said "the domain", and not "R"
oh fair enough
what does that notation mean ?
it's the indicator function on a set
so 1_E(x) = 1 if x is in E and 0 otherwise
What I've always seen in introductory calculus textbooks is that a function $f$ is continuous at $x=a$ if $\lim\limits_{x\to a}f(x)=f(a)$
Solid Angles
Which means three things need to happen at x=a:
- The function needs to be defined
- The limit needs to exist
- The function needs to equal the limit
By that definition f(x) = 1/x would be discontinuous at x = 0 because it fails 1 (and therefore 3)
So you could say that "continuous on R" would mean defined on all of R and continuous wherever it's defined
This is a channel for educators for discussing how to teach math. If you have questions about calculus you should ask in one of the help channels. š
Oh okay
I can't resist commenting about the fact that amusingly in general topology, limits are usually defined in terms of neighbourhoods (without removing a), so 3 is actually part of 2
Also interestingly, in France this is also how it's defined with epsilon-delta
Interesting!
I will say I've never been a big fan of how in some spaces online, I've seen people act like "continuous on its domain" is the only correct definition of continuity and that the introductory calculus definition of continuity is somehow wrong
e.g. "Of course 1/x is continuous, why would anyone ever say otherwise?"
Yeah that's a bit of a smart-ass thing. Even if they're right formally, there's a strong implicit in such claims that we're talking about continuity on R
Yeah it's the same energy as "Well ACKTCHYUALLY the area of a circle is 0, the area of a disk is Ļr²"
at the same time it feels a bit weird to say "sqrt(x) is discontinuous at -5"
I mean, that's perfectly consistent with the introductory definition.
A point is continuous at x=a if it satisfies the limit thing, and it is continuous if it's continuous at every point of its domain.
I guess with the exception that you can't really define limits at isolated points
Are people taught that 1/x is discontinuous?
They're taught it has a discontinuity at x = 0
I think that's not uncommon.
An infinite discontinuity, specifically
Perhaps a way to formalise this (and answer cloud's comment) is to talk about continuity (or rather the existence of a continuous extension to) limit points of the domain
I think an acceptable phrasing might be "1/x is continuous on its domain but not continuous everywhere" and then you just have to choose which one the unqualified "continuous" means.
My guess is that unqualified "continuous" should mean on the domain
But then what about f(x) = x/x?
Unless you're saying that the question of continuity should only apply to limit points of the domain
Which I think would make sense
I'm not sure what the issue is?
I'm saying you wouldn't say f(x) = x/x is continuous at x = 0
I would say it admits a continuous extension to x = 0, yes
But that makes a bit more sense as a question than asking whether f(x) = sqrt(x) is continuous at x = -1
Okay, then that's in direct conflict with what's taught in introductory calculus
That would be called a "removable discontinuity"
Unless I'm misinterpreting what you meant by this ā I read it as "continuous = admits continuous extension" because of the "yes"
Yeah the yes was ambiguous 
English really needs to go back to having two kinds of yes and no XD
But I'd make a distinction between the two
Yet another š„ win
But anyway I do think that if we're careful about continuity VS existence of a continuous extension, I do think "1/x does not admit a continuous extension to R" is strictly speaking more proper than "1/x is not continuous on R"
If we're using the general definition of continuity
Of course, if we use the calc def of continuity of left/right limits agreeing and agreeing with the value at the point then it'd be slightly different
But I would say that "1/x has an infinite discontinuity on R" is even more descriptive as to why that happens
If a function doesn't admit a continuous extension there are multiple reasons that could happen
So I think the curriculum is trying to be as descriptive as possible and build students' intuition for the functions' behavior
Yeah exactly, we're using the special structure of R to say more by looking at left and right-sided limits
Not a removable singularity?
That's in complex analysis
I wasn't aware that people in real analysis called singularities discontinuities. But I didn't do high school in English so š¤·āāļø
Personally this feels like an abuse to me bc I would use that to mean that the function is defined at x=0 but with the "wrong" value
Idk man at this point let's just burn everything down and start from scratch with the terminology this is too confusing x_x
Both usually count as removable!
Because you can make the function continuous there by defining or redefining just the one value
Both are removable, one being a removable singularity and the other a removable discontinuity
Part of me wonders what the point of being sticklers about "x/x is not the same as 1" is, it's difficult for me to think of a situation either practically or mathematically where it matters
Okay this I havenāt heard!
I can be happy with that
Difference quotients
This seems to be related to the idea that continuity is for points of the domain
In fact every derivative as a limit has this
Thinking about it now
So I think the point is to get students thinking that you can only really do this in the safety of a limit
So what would one call the behavior of x/|x| at x = 0?
A jump singularity?
I like that
Even just "jump" is fitting isn't it
Pffff one syllable words arenāt rigorous mathematical terms š
I'm not going to argue with the fact that jump discontinuity is the normal terminology š
I was just saying that's how I interpret the distinction jagr's terminology was making
Not unless the word requires at least three levels of abstraction to see what itās describing
e.g. I still have no clue what a sheaf is
topoi (or toposes) have entered the chat
And any time Iāve tried to learn itās left my brain the next day
An association of a ring to each open set, whose definition is local in the same sense as the notion of continuity or analyticity is
mfw local-global equivalence
And scheme is a dialect of the LISP programming language
I will forget that by tomorrow!
I'm not sure I can give you a convincing reason not to š
idk i think sheaves are a pretty cool concept
I mean they're definitely cool, and natural, and useful for AT and AG
I think my issue is I don't know what a sheaf is meant to capture
.
The explanations I've seen are just "here's the formal definition"
In topology, the pasting or gluing lemma, and sometimes the gluing rule, is an important result which says that two continuous functions can be "glued together" to create another continuous function. The lemma is implicit in the use of piecewise functions. For example, in the book Topology and Groupoids, where the condition given for the stateme...
this is the best starting point imo
It's just saying that if a function is continuous/analytic/any other local property on an open U, it's also open on a smaller open set V and other obvious things (that's a presheaf), and then to get a sheaf the key thing is a gluing property: i.e. if you have continuous/... functions on each U_i which agree on U_i cap U_j, then you have a function on their union which is continuous/...
So indeed the key thing is just this gluing property, which encodes the local character of the property
Hmm I see
from the free book "sheaf theory through examples"
it gives a cute high level description of the idea in terms of sensors looking at different parts of a piece of paper
Is sheaf theory actually useful for machine vision with many sensors? Does anyone know if ppl use it
(Not to hate on sheaf theory, just wondering about applications)
every problem in every domain has been solved already by the neural network
Untrue
'the' network?
the neural hivemind clearl 
um, yes. very very very much yes although it's highly under utilized
I made visual explainers for artists and category theorists awhile ago. You can skim it in 5 mins:
So many students cheating this semester 
I'd like to find accessible proofs of gradeschool geometry facts, specifically volumes/surface areas of shapes like pyramids and cones and such
I'm thinking stuff like the onion and pizza proofs for the area of a circle
That sucks. I'm hearing a lot of that from college professor friends and the extra burden of managing that. I also hear a decent amount of contradictory evidence where some of my friends have found the students to be way more engaged and asking deeper questions.
I wonder if the divide falls along undergrad/grad classes and they're seeing the effects of selection bias (e.g. entry grad students are presumably much more motivated than freshman)?
Yeah I'm sure some of it has to do with whether it's a class related to the student's major
In my case it's the liberal arts math class that all majors have to take
A sphere has 2/3 the volume of its circumscribing cylinder. Also has a historical element to it too.
My students homework is largely just copying the solutions manual
For upper division math
It makes me very sad
What class?
there was continually a large portion of students cheating at hw when I was a ta
optimization
It combines vector calculus, linear algebra, and some numerical methods
I keep forgetting you are playing "Math Educator" on ultra-hard mode š¬
If it helps psychologically, the non-cheating students I've talked to are all livid about the cheating.
So you're probably still having a large impact even if it's drowned by all the cheating behavior.
I feel like the only thing to do is to make it as explicit as possible that cheating is not okay and will be met with consequences, with some specific examples of what cheating means to rule out the "I don't know if this is cheating" defense
Ah, it's not even worth the effort
What am I gonna do? Report them for academic dishonesty, and it's going to become my word against theirs, and they'll say they just got it right. Then get dragged into several meetings about it. OR I can just say "Don't do this", and move on with my life and research
Thankfully in my case the thing they're cheating on, it's a little more obvious they're cheating
They're having to do readings about math (the history, the culture, current issues) and pick quotes to discuss
So when you get ChatGPT to flat out make up a quote, it's REALLY easy to tell :V
Lots of "it's not just A, it's also B"
Yeah in that case you can just give them a zero for making up a quote (which is dishonest either way, but I digress) and hopefully that'll at least teach them to do some minimal verification of llm output
That's nice
But yeah somehow for math questions it's MUCH harder
Because how do you tell the difference between the student getting the right answer and the AI getting the right answer
(Solution: Back to in person testing)
This is exactly why I don't fuss over it too much, because we will have in person quizzes/tests
I'm gonna have to start designing calculus tests again soon!
It's been a while š
I can only imagine how livid someone would be if they didn't cheat but got accused of cheating.
I got so tired of getting accused of being an LLM on social media that I started putting my messages into Claude and asking it to help me make it sound less autistic.
What an odd time to be alive š«¢ š¤·āāļø
what service is this? I'm curious to see what my writing gets lol
i think you might be missing the point here. why would you use a tool that is as obviously flawed and useless as this
but also i am not kidding when i say that almost any online "check for AI text" service also comes with a "humanize my text with an AI" service
idle curiosity
sometimes I just see something and I'm curious to try it out even if I wouldn't actually put any stock in the result
also what makes a person sound autistic and sound like an LLM isnt the same thing
autism is difficulty understanding social context and clues. LLMs also struggle with this too but this kind of usage is only going to alter speech style to be more like an LLM without addressing the substance behind it, which makes things worse, not better
id rather talk to an autistic person's original words and thoughts because you can glean more social clues and context from their mental state and make a more accurate model of what to expect when interacting with them, and this is what I mean when I say that it is slop
This is a fun linear algebra problem. Given a vector $\vec{v}$, and T a transformation from one coordinates, say $B_1$, to another, say $B_2$, show that $$T([v]{B_1}) = [v]{B_2}$$
MoonBears-C-
I have been thinking about this a lot recently
The answers I'm getting are often just something along the lines of it's true because that's what coordinate transformations do
I believe I finally understand change of basis satisfactorily
Yeah, I tried mapping out how to do it in discussion, and basically told them "Linear maps are determined by where they send basis vectors, so go open up your Linear Algebra book, and find a way to do this carefully"
The books answer is to basically just "invert" the matrix given by the coordinate vectors, and hit it by the vector
Right, thatās not quite how I think about it
I need to sleep soon but I can explain more tomorrow
But they're basically starting with (the notation in the problem uses x' and x for the different notation), x' = x therefore x' = Tx
Which is exactly how you solve the simpler problems like (1,2) = 1e_1 + 2e_2, but if v_1 = (1,0) and v_2 = (1,1), then (1,2) = a(1,0) + b(1,1) = (v_1, v_2) (a,b)^t
So you invert the matrix to solve for a and b
This looks like just a change of basis problem, no? If you look at the transform of the basis vectors, it should characterize the transformation. I vaguely recall the Jacobian playing the same role but can't recall if it's necessary for Affine transforms or just Shear/Conformal transforms. Maybe I'm missing something?
It's a change of basis problem, but it's difficult in that "it's true because it's true"
Really it should be something like $$x = \sum_j x_j e_j$$ and $$e_j = \sum_k a_{jk} v_k$$
MoonBears-C-
The $a_{jk}$ become the entries for T, and now you can write it down precisely
MoonBears-C-
If you google computer graphics change of basis, you'll find a lot of intuitive visualizations (not just of change of basis but all of undergrad linear algebra).
Change of basis bugs are the bane of every graphics/animation programmer as they often don't compose "nicely" the way artists think they should
Ex: it often inverts or introduces negative scales which break everything
How are you defining T
Or is the question just how to find the entries for T
It feels fairly straightforward if you write out the definitions of everything, like if you have basis vectors e1, ..., en for B1 and f1, ..., fn for B2 and you know that
e1 = a_11 f1 + ... + a_1n fn
...
en = a_n1 f1 + ... + a_nn fn
then it just follows from definition that multiplying by the matrix (a_ij) will work right
And then you can solve for a_ij via row reduction as usual
yeah! Some students did this. Most students wrote x = x' therefore Tx = x' in some way
Handwriting reveal
I think the interesting thing here is that you can use what you said, but you end up invoking the uniqueness of coordinates to say that x_j' is this expression summed up
side tangent: what software did you use to make this?
OneNote
I have a microsoft surface pro
I prefer it to an iPad since it has a full OS instead of an iOS
Yeah, this is an applied math class, so a lot of the students aren't comfortable with precise arguments. They are more comfortable with pushing formulas around and saying "that's a wrap"
Most of my education has been strictly in the pure math camp, but I'm dipping my ankles into applied math
It is possible to say that there was no serious applied mathematics in France for forty years after PoincarƩ. There was even a snobbery for pure math. When one noticed a talented student, one would tell him 'You should do pure math.' On the other hand, one would advise a mediocre student to do applied math while thinking, "It's all that he can do!" ... The truth is actually the reverse. You can't do good work in applied math until you can do good work in pure math.
~DieudonnƩ, one of the founders of Bourbaki
Not sure that that last part is true but ah well
I'd say to do applied mathematics well, it helps to have a good framework for how to prove things in undergrad. Obviously there are counter-examples like Steven Strogatz, who did excellent work in applied math as an undergrad, but wasn't so good at pure math
But even then I'd say he was probably pretty decent at pure math, despite his lack-luster grades in pure math classes
Yeah I think doing rigorous math helped me a lot to gain mathematical intuition to apply to biology
It's helped me a lot in Numerical PDEs, which is "applied" but doesn't really have anything applied about it, except for requiring some computer code to implement algorithms
Side note but why does your math mode align right lol
I used double dollars
For gradescope, you have to put everything in double dollars
But for discord, it's single dollars to get it to render
I imagine it's just texit truncation
it's an issue with TeXit where math aligns to the center and text aligns to the left, leaving the right to get cropped out and throwing the whole thing off
As a first introduction, what approach to tensors have people found works best? Iāll list some examples but Iād also be curious if there are alternatives:
- Multidimensional array of numbers
- Transforms like a tensor
- Multilinear map
- Tensor product space, abstract def
- Tensor product space, universal property
- Tensor product space via space of bilinear forms on V* x W*
- Tensor-hom adjunction
Multidimensional array of numbers has worked best for me.
Plus their mathematical properties of course, but it helps a lot to have something concrete to work with.
For another example, I remember trying to learn what the tensor product was, and any time I asked I got all this mumbo-jumbo about modules and bilinear maps, and I had no idea what was going on
Which ones do you use
Hm, so whatās your understanding of the tensor product now?
Then I saw this and it clicked immediately
And the rest of the abstraction fell into place after that because I had something to build it on
I think of it as a "free product" of sorts where you're not placing any additional constraints other than wanting it to play nicely with addition and distribution
Where if you place additional structure on it you can get things like the dot product
I'm sure I don't have a full understanding yet but that gave me the first actual foothold into it
Hm, ok
Here's the article that came from
https://www.math3ma.com/blog/the-tensor-product-demystified
Previously on the blog, we've discussed a recurring theme throughout mathematics: making new things from old things. Today, I'd like to focus on a particular way to build a new vector space from old vector spaces: the tensor product. This construction often come across as scary and mysterious, but I hope to shine a little light and dispel a litt...
I will forever advocate for starting with explicit computational and/or visual examples first instead of formal definitions š
if I'm learning them abstractly from an abstract algebra position the motivation I always liked was to construct the tensor product of two modules explicitly and say that this is a very natural way through which we can change the base ring over which we consider these modules
See I have absolutely no concept of modules past "vector space but over a ring"
well yes this is exactly what they are
but even in like vector spaces this is a thing right
Yeah so I wouldn't be able to answer a question about "so what"
I like the "array of numbers that transforms like a tensor" definition and the "universal property" definition, just my personal taste though
Except maybe some stuff about how now you can have different minimal generating sets with different sizes
e.g. you can generate Z with {1} but also {2,3}
It works the same for vector spaces, e.g. you complexify a real vector space by taking a tensor product with C and that turns it into a complex vector space (so no need to think about modules in general here)
so, what would be your explicit computational/visual example of a tensor?
well I think the motivating example should be turning a vector space over R into a vector space over C
I gave it above
At least right now
Eventually I need to learn the physical applications in which case that would give a better initial motivation
so... $\begin{bmatrix} 1 \ 2 \ 3 \end{bmatrix} \otimes \begin{bmatrix} 4 \ 5 \end{bmatrix} = \begin{bmatrix} 4 \ 5 \ 8 \ 10 \ 12 \ 15 \end{bmatrix}$?
Pseudo (Cat theory #1 Fan)
But I'm not at that point yet. But based on everything I know about what helps me learn mathematics, the ideal entry point is (1) a motivating application followed by (2) an explicit computation that comes in "just in time".
yes this is also called the kronecker product
And then stepping back and saying "okay what happened here? What's the phenomenon in general?"
I guess this is a more physics oriented way to think about it
because to me the natural way to consider things would be something like
take a real vector space and say you wanna study the diagonalization properties of some matrix
but it has complex eigenvalues so what can you do
so a natural idea would be well maybe we can turn our vector space into a complex vector space
and in comes the tensor product to save the day
The natural thing to me is "you have two vector spaces and you want to make a new vector space made out of choosing a vector from each independently"
it's natural if your vector space represents the state of some physical system, like if you know how particle 1 behaves and how particle 2 behaves and they're independent, I should be able to make the state space of how particle 1 and 2 together behave
it's sort of a "null" assumption, against which you could look for e.g. effects of interactions between the particles
I guess the fundamental issue with motivating these kinds of more "abstract" mathematical definitions is what perspective do you want to take
do you want to take the "real world" application and motivate it through that
or complexification feels the same to me tbh, you independently combine a complex number with an existing vector space
or through some problem that's more of mathematical interest inherentlly
and I think that in some sense neither will capture everyone's attention
It's probably obvious that I teach very few math majors š
haha well that's fair
I'm teaching the full Calculus sequence again starting next semester, and it's mostly physics/engineering majors
I feel like combining two independent spaces is the core idea, regardless of whether you do a more practical or mathematical motivation
hm so do tensors come up in what you teach?
They don't! I'm extrapolating from what's helped me learn them and what I know about my students
So I'm basing this on "if I had to explain what a tensor is to the kinds of students I teach, what would most likely work"
i see i see
as a physicist myself, one of the big things about tensors is the transformation law
Are there any places in the traditional calculus sequence that make you think "this is all just tensors"?
as far as i understand, this is not really relevant for the algebraic applications
i think they start becoming relevant in multivariable calc
(recently I've been thinking about optimal transport, where you want to move piles of sand into holes efficientlyāthe tensor product is the strategy where the starting location of the sand is independent from the ending location, an obviously inefficient strategy in most cases because usually you'd want to move the sand pile to the closest hole)
in ordinary calc, it's hard to see their application
the two most obvious cases where tensors show up to me are both in multivar calc: differential forms and determinants (but even then, it's only really helpful to understand alternating tensors, not tensors in general)
hm in quite a few physics applications i've used symmetric tensors
Okay that makes a lot of sense
I'm actually avoiding determinants until we get to coordinate transformations
determinants are... a whole battle on their own
i'm not actually sure starting with a computational example is the best idea there
algebraists: "it's the eigenvalue of the matrix when applied to the one-dimensional space of top alternating forms"
geometers: "it's just the volume, with possibly a minus sign"
yea I think it's better to start with the concept and then show how to compute them with row reduction
-# category theorists - it's a natural transformation
row reduction is underrated honestly
the best feeling is when you get one row to be almost all zeros lmao
honestly it's something my course didn't really cover
row reduction is crazy for both computations and proofs
Geometer all the way XD
i should learn more about it tbh
I think the most natural and visual place where tensors show up is continuum mechanics.
For example, if you ask how does fluid velocity change between neighbouring points, or the deformation of a solid.
And then you naturally ask how the matrix you get transforms when you pick a different basis. And then the physical, basis-independent object, whose matrix representations in different bases are related via "transforms as a tensor", is a tensor
If I'm introducing determinants, I want to start with "how does the area/volume change when I do this transformation"
I think "I give you all the coordinates of the corners of the shape, how would you find the volume?" is also a fun start
maybe a little more concrete
and then afterwards you can say "well now let's look at the shape you get when you apply the matrix to a unit cube... now that we know how to calculate the volume of the image, we know how stretchy the transformation is"
Yes, I believe one should start by defining the determinant of n vectors as the volume of the parallelepiped. And once they're comfortable with computing determinants and its multilinearity property, you can naturally introduce the determinant of a matrix as the volume of the parallelepiped defined by the images of the canonical basis, whence the determinant of a linear transformation as the transformation of the volume
I first learned that interpretation when I was doing contest math in middle school lmao
thereās the āshoelace formulaā for areas of polygons in R^2 which is just the determinant dressed up differently
this uses the volume of the cone, any proofs for that?
it's times like these I wish i were 3b1b
fun fact: if you take the following problem:
3 random numbers x, y, z between 0 and 1 are chosen at random uniformly. what's the probability that x is the smallest?
and then use geometric probability to graph the 3d plot, you get this shape
so if anyone has difficulty visualizing why 3 copies of that pyramid fit the way they do into a cube, this demonstrates by symmetry you only need to construct one of these by this probability problem
which isn't all that difficult, because you only need to plot the boundary conditions (x=y, x=z, x=y=z) and the shape draws itself
this method also has the nice property in that you can extend it to arbitrary numbers of dimensions
the triple pyramid proof is, dare I say, trivial. the next step is to establish that the volume doesn't change when you slant the pyramid, which is apparently cavalieri's principle. how do we establish this? In the above picture I'm not sure what the justification is for comparing the cone volume to the pyramid volume
to clarify - if i understand correcly - taking the tip of the cone and moving it around horizontally within the bounds of the top of the cylinder doesn't change the volume of the cone. is that an instance of the principle?
multilinear map
a function that eats some number of arrows and some number of stacks and spits out a real number seems like the easiest way to think about them
it's also very visual
the array of numbers that obeys a transformation rule doesn't seem very enlightening to me. that's probably the worst
and you can visualize not only what the multilinear map eats but you can think of the map itself as a bundle of arrows and stacks
and that gives you an easy way to connect it to the tensor product
the tensor product being the thing that lets you bundle the arrows and stacks together into the maps
yes i believe so, imagine you project all the cross sections onto the base; if the apex is directly above the center its a buncha concentric circles, if its say above a point on the base then you get a buncha internally tangent circles, but notably these are the same circles as the first case (by similarity), so then cavalieriās principle applies
you can also think of it like ātwo identical integrable functions have the same integral on some intervalā
I think it can be ok if you derive it properly
Well, a formal sum of such bundles, right?
on a related note, how do people tend to explain change of basis? i keep coming back to it and wondering whether i understand it correctly or not
The argument seems to be most useful if you've already developed a concept of the volume as a (more or less handwavy) integral over cross-sectional areas, but don't have enough calculus available to evaluate it symbolically with the FTC. Then it gives you a fairly concrete reason why the integral of x² from 0 to 1 has to be 1/3, and you can then get cones and other pyramids just by linearity properties that are comparatively easy to handwave.
I think you can also make it a bit easier to digest if you do the pyramid FIRST
And once students are comfortable with that, then do the cone by showing how it reduces to the pyramid
That way students will be less likely to get lost partway through a six step process
One could start with this comic haha
I remember in high school physics I had to watch this absolute banger of a video https://www.youtube.com/watch?v=bJMYoj4hHqU
Patterson Hume & Donald Ivey
University of Toronto, 1960
Discusses the concepts in reference frames: inertial and non-inertial.
<@&268886789983436800> spam
So I've been reading a lot about elasticity of a function, which is defined as $$\dv{(\ln y)}{(\ln x)}=\dv{y}{x}\cdot\frac{x}{y}\text.$$ Apparently, in the Stata statistical software, the command for this is $\texttt{eyex}$, where it seems like they're using $\texttt{ey}$ to mean $\dd{y}/y$ and $\texttt{ex}$ to mean $\dd{x}/x$. It also has $\texttt{dydx}$ for the derivative as well as $\texttt{dyex}$ and $\texttt{eydx}$ for the two kinds of semi-elasticity. How terrible of an idea would it be to define a notation like $\frac{\mathrm ey}{\mathrm ex}$ or $\frac{\epsilon y}{\epsilon x}$ for elasticity? š Is it even worth creating a notation for it?
Solid Angles
(When creating course materials do y'all ever find yourselves asking yourself what the best notation would be to use for things?)
Yes
Initially, I used mostly what's in one book, now I mix from manu sources, staying concistent through the subject
I think as long as you give disclaimers about what's custom and what's standard, whatever's clear and consistent is good
Yes, I clarify that different authors use different notation
Although there are some standard notation widely used
I have found that there are very few videos out there on logic out there and would like to change this. I want each video to explain and prove a single theorem with accompanied animations. I donāt want to do videos on things like the incompleteness theorems, the halting problem, or Cantors theorem as these are oversaturated and there are plent...
I got now how to show them that the cavalieri's principle is valid. last thing I want is to show that it's true for any base shape (even a 'strange' one), not just the square pyramid. I only know the integral way to do it. I think I can get across that the area of a shape scales with the square of its 'size' or 'radius' easily
Do you mean "I don't know how to show them ..."?
no, cav's principle is easy to show I think. i'll take a stack of coins or dice and stack them neatly, then slant the stack and note that the 'volume' (number of dice, amount of metal in coins) doesn't change
Ah, so it wasn't really a question, just a plan. Gotcha.
question
regarding cav's principle
how would you guys explain to students why this is not valid, but cav's principle is valid?
as usual, pedagogy because I personally understand but im not sure the best, simplest way to explain to someone else would be, is there a clean super elegant explanation somewhere?
like for this one, i know I can just take the diagonal of the square to disprove the validity of this method, but you cant apply this method to show cav's principle is valid rather than invalid
when youre dealing with limiting cases
the error actually has to go to zero
here the error is always 4-pi
I think the real take-home point of the troll limit is that we need to be careful about defining what we want arc length to mean before we start applying limiting arguments to them willy-nilly; otherwise we have no way to argue whether they are or aren't valid.
A priori we might get into similar trouble if we use too handwavy arguments for Cavalieri's principle .
On the other hand, a too rigorous argument may end up being too full of pedantry for the audience to follow at all, so it's not a given that's better either.
this isnt particularly satisfying I think because you are first assuming that the real circumstance is length pi. i think troposphere kind of hits at the heart of what makes this difficult
The crux of the issue is that there are order 1/epsilon triangles of side length order epsilon, and for each of these triangles the error is order epsilon, so the total error is order 1
Whereas for Cavalieri you have 1/epsilon times errors of order epsilon^2, so total error epsilon -> 0
Yes this is also how Iād explain it
The idea of calculus is roughly the following
To solve a big problem, you do the following stages:
- Split it up into a bunch of small problems
- Solve the small problems
- Combine the small solutions to a big solution
When you do this, there are two competing factors
Say you split into N small problems
Ideally, each individual problem will be easier to solve, since itās smaller
But there are also more problems to solve
Calculus works when the rate at which smaller problems get easier is faster than the rate at which the number of problems increases
So here, when you split up the square into N segments
Each āsmall problemā is basically a small right-angled triangle
But the issue is that youāre estimating the hypotenuse of this triangle by summing the lengths of the other sides
That gives an error of O(1/N), which is not fast enough to balance out the linear growth rate of the number of problems youāre making
However if you use the true length of the hypotenuse, then compared to the actual length of the arc you only have an error of o(1/N), essentially because of differentiability
And that is fast enough to overcome the growth rate of the number of problems
So taking N -> infinity is sensible
This ādivide and conquerā strategy isnāt unique to calculus; the main unique thing is that calculus deals with when you take the number of small problems to infinity
So Iām actually curious where the orders come from here
And also I feel like thereās still the issue of what weāve chosen as our definition⦠in order to compute error we need a ācorrectā value in the first place
So I think it needs to enter somewhere that the definition weāre choosing is supposed to agree with āwhat if I laid a string along the curve?ā
Indeed, that's why approximating curve lengths is more subtle than approximating areas, for which you have an obvious monotony property
The analogue for curve lengths is more involved, see
sure, i think this is where differentiability is crucial
^
The TL;RD is that if you approximate a curve by a broken line (a polygonal chain), adding more points on the curve to the chain will increase (or keep constant) the length of the chain
If the upper bound is finite, the curve is called rectifiable and this defines the length of the curve
Indeed if the curve is continuously differentiable, then it is rectifiable and this definition of its length agrees with the definition by integration of the norm of the tangent vector
Okay I can certainly see why that would be monotonic
Where do we get order 1/n vs 1/n^2 from?
Yeah if you draw the original segment and the two new segments, they form a triangle. So it's just an instance of the triangle inequality AKA the straight line is the shortest path
Well, the generic length of a figure of side epsilon is epsilon, and the generic area is epsilon^2
The only way to get a decent approximation is to make your approximation and the correct answer to agree to linear order
So for example taking the two sides of a right-angled triangle instead of the hypotenuse is "egregious", and you get an error of the same order as the side length
Whereas approximating a small arc by the chord is correct to order 1 in the arc length
Thatās after already defining the hypotenuse method to be correct I guess
Iām not entirely sure how would actually calculate the order of the error in taking the two sides though
I get the vague sense of the order but thatās sort of just on vibes
There's two things:
First of all, if you have a right triangle with a and b order epsilon, then approximating sqrt(a^2 + b^2) by a + b is wrong by something of order epsilon
Then the other thing is that you can approximate the arc length by the hypotenuse of the triangle, i.e. by the chord
In the sense that they agree to order epsilon (and so disagree to order epsilon with a+b)
Oh so youād literally compute sqrt(a^2 + b^2) - a - b where a and b are multiples of ε
Iām just trying to see how to get an ε to pop out
a^2 + b^2 - (a+b)^2 = 2 a b ~ epsilon^2
This gives me enough that I think I could justify why the troll limit doesnāt work
Yeah the only part that might need convincing is that the chord is the correct approximation to the arc length, to linear order. Though I think it's intuitively quite believable
I think that can be done from the point of view of what real world idea weāre trying to capture
Essentially all you need to see is that if you take an extra point on the arc, the height of the triangle is order epsilon**^2**, so the improved approximation agrees to order epsilon with the chord
Because otherwise a priori how would you know to do that even for the hypotenuse of a right triangle?
You could make the same argument either way
epsilon^2, typo
To do what?
To use the correct method
At some point you need to agree on a correct definition and you canāt prove that⦠uh⦠by definition
Iām having a hard time wording this
it's interesting that the way pythagoras is proven is using areas, not lengths directly
But when you decide on the correct definition of arc length you canāt really prove itās correct by showing it matches up with a known arc length because that requires you already have a correct definition of arc length š
That's true, but I think you can't really do more natural than approximating by a broken line with increasingly small segments
Ok actually maybe you can also formalise the "length of rope" idea
Right, thatās no longer a mathematical decision though
At some point youāre having to go off of some kind of intuition of what youāre trying to capture
By defining a curve of length l to be a continuous map $\gamma$ from [0,l] to the plane such that $\abs{\gamma(b)-\gamma(a)} = \abs{b-a}$
afqt
So the argument it seems needs to be (1) hereās why we chose the hypotenuse method as the correct definition, and (2) hereās why the āremove cornersā method doesnāt converge to the hypotenuse method
I mean, it's not really about the hypotenuse
It's just about chords
You can choose the remove corners option, if you want to talk about non-Euclidean geometry and taxicabs š
So yeah, for (1) the argument is this
Putting it that way it seems the hypotenuse really is the right way to think about it
Because your way of measuring the length of a chord is based on the Euclidean metric
My students never believe me when I tell them they have no idea how important the Pythagorean theorem is š
a key part of archimedes' estimate of pi is that he bounded the circumference of the circle both below and above, using an inscribed and circumscribed polygon respectively
each of those bounds required adding an axiom, being:
- the shortest distance between two points is a straight line
- given two convex paths between a pair of points, the inside one is shorter
See here for some discussion of those axioms, although the focus is on his area of a circle
the second one applies to curves, not just broken lines. so that theorem is a good motivation for the axiom but not a replacement
Ah right. So you just take this as an axiom, which I guess is quite similar to defining curve length as the sup of lengths of broken lines with points on the curve
https://bill-j-shillito.github.io/calculus-scbi/online/sec-sensitivity.html
I've been reworking my first lesson from my calculus book a good bit based on some of the feedback I've gotten before I move on to any future sections, so I have an idea of what kind of "feel" would be good.
A summary of what's been done:
- I'm focusing more tightly on the "sensitivity" concept, going into both sensitivity between two points (Īy/Īx) and sensitivity at one point (dy/dx).
- Still drawing attention to the fact that "infinitely small" changes are a vague concept and we'll make it more precise later.
- I'm actually delaying the word "derivative" until the second lesson so I can use it in the sense of "derived function", i.e. given a function f, the derivative is a new function that tells you the slope of f.
- Added some stuff about approximation of changes ā not full-on linearization of a function, that'll come later, but just enough to show that it does a decent job of approximating small changes.
- The first few exercises are designed both to give students practice with computing slopes and to notice patterns in those slopes for linear, constant, and quadratic functions, to get them ready for the next lesson when we actually do the derivative.
I did end up getting rid of the "estimating the area of a circle" activity for now because that's really more akin to integration than anything. So I'll introduce that later instead.
Any feedback or questions anyone has about the explanations or exercises would be welcome.
Also wondering if the prose (everything before the exercises) is something that could be read before the first day of class.
Minor nitpick but the Objectives still use the word "derivative"
. . . oh yeah I still need to fix those š
It might be helpful to draw the secant in the figure below definition 1, since it's mentioned in the the sentence below
Also I know some graphs are missing
What I actually might want to do is add a āzoom boxā to show the graph more clearly, and also call it the slope of the segment
Since in some sense you donāt really need the whole line
Idk why I read the aside as "We will figure out how to make it better" instead of a note to yourself...
Iāll be getting into the tangent line later I think, when we get into linearization
nit: "in tandem with each other" seems redundant
hey how do blind ppl learn math? I have absolutely no idea where I'd even start with that
I was involved in teaching a blind person for a little while, but it got cut short for reasons unrelated to blindness.
Anyway, they had their own system for writing down equations in a way the screen reader could read back to them. Other than that they learned linear algebra similarly to anyone else I guess.
could they do geometry? what was their intuition like?
Didn't really get to that, but in general blind people understand shapes and volumes etc. So I don't see why not
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I think it mostly could, or at least the first little bit. Here are some things I think would cause problems for students reading it on their own
- you mention a "simple empirical model"; I don't think students at this level necessarily know what that is. You can probably just reword it to avoid tripping them up
- my gut feel is that students are not going to follow the paragraphs that are right under "sensitivity at a point". I think it's mostly that you haven't stated that the sensitivity at a point corresponds to the slope at that point, which maybe you're delaying saying but it's kind of necessary to know in order to understand those paragraphs. Otherwise, it's not clear what's the relevance of the graph looking straighter as we zoom in, nor exactly what you mean by "mixing sensitivities"
- for the sign of sensitivity section, I think it would be helpful to give an example of a negative sensitivity and what it means before jumping to the general case. I think for most students it won't have occured to them that it can be negative, much less what that would mean, so I think they'd be thrown by a sentence starting "if dy/dx < 0..."
Would "experimental" model be more accessible than "empirical"?
But past that, these definitely make a LOT of sense. I would need to use a different model but I can certainly come up with one.
Or maybe I can better emphasize negative sensitivity/slope in the part where it's talking about the sign of the derivative.
Idk if it's cheating, and whether perhaps this is enlightening cheating, but to get a negative derivative you can just "multiply the function (or the variable) by minus one". So the likelihood of survivability of someone in the car (or of a pedestrian in front of the car) decreases with speed
Or, for another example, the life expectancy of rabbits decreases with the increase in the number of predators
Yeah I think so. I might also avoid the word model and say something like "through experiments, we can establish the following formula that relates L to v". (fyi you'd have to replace at least one later use of the word model too if you went with that)
I do like the emphasis on the fact that it's a model
Or if you want to avoid the word "model" at least something along the lines of "is well approximated by the formula"
Yeah I agree conceptually I'm just not convinced that these students will actually know what a model is. I don't think I heard it used in that way in high school. Maybe I'm wrong though
I think it's probably good to spend a little time to explicitly teach them if you were actually teaching this to someone
high schoolers can definitely understand what a model vs observations is by the time they're learning calculus
I wanted to ask - have you tried this out yet? How did it go?
isnt sqrt(24.999) computed by linear approximation
i assume sqrtx is solved by newton raphson if not for precomputed tables
Tried what out exactly?
Like, motivating linear approximation to your students
The last time I taught linear approximation (in a video for my Calc I class), the example I gave was calculating lighting in a video game using the inverse square root, pointing out that you need to do this multiple times per second, and then using linear approximation to estimate 1/sqrt(4.1)
And then at the end of the video I pointed out that while this isn't exactly what Quake III did for the "fast inverse square root", what they did do (a Newton-Raphson hack) still used linear approximation
So the overall message I used was "sometimes you need to trade accuracy for speed because you're doing lots of calculations"
i do agree linear approx should be motivated/emphasized better in calc 1
i didnt know it was important until i learned linalg and read something about calculus mixed with it
How would you motivate it?
no clue!
i couldnt stay in the realm of calc 1 only (id need multiple variables) to properly motivate it i'd say
though partial derivatives could be a completely calc 1 affair if you visualize it as a derivative with one "direction" fixed
linear approx seems easy to motivate, linear functions are so easy to work with compared to just about anything else
right?
its not really that cool that it approximates the function, moreso that it forms the base for differential calc at a high level
but the latter thing would be hard to motivate in calc 1
especially considering that calc 1 is usually a general institute requirement and so no one cares
Yeah I think this is why the ācollege boardā (to some degree) emphasizes linear approximation stuff on the AP Calc exams
eh they dont do it very well imo
Would something like this be usefull for people trying to learn advanaced mathematics?
helpful in what sense? i dont see how detailed sectioned proofs could possibly be not helpful
Yeah I feel like itās difficult to properly motivate it in Calc I
Compared to where linear approximation is essential to make problems tractable
So you necessarily need a kind of ātoyā problem thatās still sorta believable
I added something recently to my intro to sensitivity about how using the sensitivity means you donāt have to repeatedly recalculate the function value
you want to find the slope of a line that changes, so you try doing a bunch of linear approximations, but its really difficult
you figure out that derivatives can give you that in an easier way
counteractively you connected it to linear approximations
this is how my teacher motivated it, and whenever I think of derivatives I kneejerk linear approximation
somehow i lost that lol i should be more conscious of it
all it takes is one prof to make you feel scared and confused and dumb, and then have that branded on your academic record
i got a B in calc III lmao
I figured it out later
(in fact, you do linear approximations by looking at two points and closing the distance between them to try and get the linear approximation "at that point")
this made differential changes seem simple, and i never even had to think about the coordinates all that much
pinning two points on a curvy line and trying to make it tangent is a very coordinate-free concept
like you might not even need a coordinate system
i bet you could make a physical model out of some metal wire to demonstrate the idea
i did this in blender lol and my teacher literally had me present to the class
i literally zoomed in and showed that like,
_ -- is not the same as /
literally by pythagorean theorem
you cant do like, 1/3 / 1000 * 1000 to get the right number
a million errors does not make it right
i said literally three times
I always wished that a prof would put up a bunch of papers on the wall like
the integral symbol, and under it: "a bunch of little things added up"
df(x)/dx: "slope of a function at x"
yk it might spoil it but you could like
unveil it as you go or something lol
like a big surprise / dramatic action
cause someones gotta make the calculator!! also, calculators cant do everything
youre the only one that can be creative
this was a really logical approach to me as a 10th grader
the teacher actually asked us how we would figure out the slope somewhere and had us figure it out
then he suggested like, try making the points closer yk?
once we literally HAD the definition of a derivative he wrote "lim -> 0"
and then wrote what we call it
there was no instruction it was just "how would you guys do this?"
hi any high school teachers here?
Is in having automatic summry of proofs, different level of hand-holding, issues,pull requests attributions and soo n
It is essential: this is where the whole idea of calculus comes from. that is, the definition of a derivative
But linear approximation is not how a calculator computes square roots. Actually even mentally, if I want to compute sqrt(4.1), I'd do the Babylonian algo starting with 2: 1/2(2+4.1/2) = 2 + 0.1/4 = 2.025
Rather than having to do the gymnastics of sqrt(4+x) = 2 sqrt(1+x/4) = 2(1+x/8) = 1 + x/4 and then setting x = 0.1 (in fact when doing it mentally I started off by forgetting to distribute 2 over x/8)
Had no idea about this
Why not?
I thought calculators used Newton raphson to compute. Sqtt
That's what I'm saying - they don't use linear approximation. Of course that's not to say the algorithms used don't involve derivatives.
As a matter of fact, Newton's method gives you precisely the recursive formula I used
It's called the Babylonian method, or Heron's method
This isnāt far off from the lie that calculators today use Taylor series for transcendental functions!
Calculators (and computers) use many different methods to compute square roots, depending on tradeoffs between speed, hardware complexity, and program size, as well as which other operations the machine needs to be (efficiently) capable of. Many of the possibilities do not correspond neatly to any named classroom method.
Is newton raphson not a form of linear approx
Maybe I'm extremely wrong but I thought Newton raphson constructed tangent lines and used Linear approx recursively
The difference Afqt is trying to express is that even though it uses linear approximations internally, the output of approximating a square root with Newton-Raphson is not itself a linear approximation to the square root function.
You know, I've never actually taught Newton-Raphson whenever I've taught calculus
I haven't found a good way to make it fit into the "story"
It always seemed kind of out of nowhere and not in the "I could have come up with this myself" set of topics
Isnt the geometric picture quite sensible? I feel like I remember watching a good video on it back in highschool when we were learning it
For some reason the first geometric picture that comes to mind is always the one where it fails on the cube root function or whatever
I feel like when I learned it we spent so much time looking at when it doesn't work that I didn't internalize why it does work
Iirc to approximately solve f(x)=0, you replace f by its linear approximation near your initial guess and solve that. If your initial guess was close to the actual zero, then the zero of the linear equation should be close (in fact, closer) to the zero of f
More intuitively, if you're at x_0 and f(x_0) > 0, f'(x_0) > 0, then you want to pick x_1 smaller than x_0, and f(x_0)/f'(x_0) is a natural estimate of "by how much", by dimensional analysis
yeah i thought newton-raphson was quite tied to the whole linear approximation angle
I want to include it when I do my linear approximation lesson this next time
I just never got a good feel for it, and I'd need to find a way to make it feel natural rather than just something tacked on
I'd agree that Newton-Raphson feels a bit oversold. It's a neat idea to be aware of for the special cases where it's an improvement, but for general root finding you can get just as good iterative approximations by linear interpolation between known function values (plus some extra footwork to ensure quick convergence).
I might include it as an extension problem
Imo the most natural root finding algo is just dichotomy/biscetion, which gives a natural proof of IVT.
And then if you want to do better by taking into account the behaviour of the function, then you arrive at something like the secant method
Newton is a variant of this where you replace the secant between two points by a tangent at a single point, which ig has some advantages, but is mainly useful if you know the derivative analytically
So for example if I wanted a simple algo to compute cube roots, with a nice recursive formula, I'd just look at what Newton tells me
Don't they?
I thought it was between Taylor Series or CORDIC
At least for trig functions
i think its more of an "only cordic" situation
trig taylor series is just awful from a numerical perspective
There are definitely other methods.
Since floating point trig just needs approximation to a known, fixed precision for each input, a piecewise polynomial approximation with precomputed coefficients can be feasible and competitive in some regions of the tradeoff landscape.
(The core trouble with CORDIC is that it needs a trip round the loop for each bit of precision, so if you have a fast multiplier available, polynomials can become pretty attractive compared to that).
I eventually need to actually learn how CORDIC works :V
Does anyone know the group "Mojza"?
A student-led pakistani group with notes on certain subjects?
This is probably not the right channel for this, maybe try #advanced-lounge
I do understand, but i wanted to focus on their pedagogy practices
No that comment is on my deleted message
Congrats, you've proved P and not P
how do yall deal with teaching/tutoring scenarios where a student is like
"what did i do wrong"
and you start to help them, but then it becomes painfully clear the student is missing about 60% of the prereq knowledge they should have, but become increasingly insistent on the "just help me with this problem" point?
last week i had a student ask what they did wrong on an integration by parts problem only to find out they didn't even know how to do the product rule. 
I think you just have to force them to take a step back and think about fundamentals
Something that might make it feel better (and more engaging for the student) is alternating between time talking through problem solutions and then long periods of time going through basics so that they can see how the pieces fit together
But yeah in my limited experience, it's gonna feel sucky no matter what so you just need to be there to manage the student's expectations and motivate them
given they had chatgpt out in front of them, and the attitude i got, i dunno if that would have been particularly appealing. there was definitely a huge emphasis on wanting to be given this particular fish, and not wanting to learn how to catch one.
i got the sense they just weren't interested in help from me so i let another tutor handle it. if i was the professor and we were in office hours i think this might work better, but ig in the tutoring center scenario i don't think it's worth wasting both our time.
I'd usually ask the student to explain what they were trying to do -- if they describe a sound strategy to solve the problem they're doing, then it's most likely that the mistake is a small technical mistake, eg an arithmetic error, an incorrect algebraic manipulation, etc. In that case you just go through their working carefully and spot the error, and maybe give them some tricks for checking their work as they go to prevent such things in the future.
Ofc if what they describe is not a sound strategy, then you've already found their mistake, which is that they don't understand what they're doing. In that case, you need to figure out what the gap in understanding is and correct it.
suppose you ask for their strategy and they say "i don't know" lol
and when you try to explain they say "can you just tell me what i did wrong"
because yeah i definitely tried to help them be able to check their answer in the future by verifying the integral with a derivative, but that's when i realized they didn't know how to take a derivative and it was like "oh no"
I think in that case you just have to kind of stand your ground a bit and make clear that the student needs to do a lot of work to get where they need to go and that it is their responsibility to do that work. It's your job to teach, but it's their job to actually learn.
I would just be honest and say something like "do you want me to just give you the solution, or do you want to learn how to solve these yourself? If it's the latter then we need to take a step back and go over the basics"
But if they say it's the former?
If it's a student that haven't paid attention at all, then they might genuinely think that differentiation has nothing to do with integration, and it will seem irrelevant to them. So I think it's useful to explain exactly why you need to go over the basics
Just say it's not your job
honestly, I would just cut my losses and say that's not what I'm there for
yeah I mean is it an unreasonable boundary to only help students that actually want tutoring. if they just want someone to give them the answers well they have chatgpt open just do that and not waste my time.
"I can't effectively do my job unless we step back for a second and figure out the conceptual gaps that you have. That way, you can answer not just this question but others as well."
"I know it might be frustrating right now to slow down so much, but it'll improve your understanding and your ability to solve these problems in the long run."
i dont know if its appropriate, but i would also advise the student to not be using chatgpt, its a tool only for those who are already highly competent in the area they are asking about
I feel like there needs to be richer language to better ask questions like "what is [blank]?" There are so many different roles that concepts fill simultaneously. Take the question "what is an equation?" Well, an equation is a logical statement declaring that distinct objects are the same. It's also a specific notation we use to represent this logical statement. They also often times represent other objects, like shapes or whatnot. They also have certain properties, like being able to algebraically manipulate them. How could you meaningfully ask about these different perspectives?
I don't think I have the right words rn to properly get across what I'm trying to say, but I'll try to elaborate.
What something 'is' means so many different things. There's the specific properties of the thing, the purpose of the thing, where the thing exists relative to other things. The thing is usually cared about or conceptualized in a certain way for some reason. I think all of these aspects tie into what the thing 'is', and it's really difficult to specify what you're asking about. An example of this for me was the idea of a function. It took me an embarrassingly long time in highschool before I had a decent intuitive understanding of what a function is. I was told it was something that took some input and gave an output. That the same input always gives the same output. Sometimes I was shown a graph, and told that that's what a function was. Sometimes a function looked a lot like an equation. All of these things that a function 'was' felt so disparate and disconnected, that I had no clue how to actually conceptualize them. it wasn't until I read that a function is a "mapping between sets" that it finally clicked for me. I'm not sure why this specific framing did the trick for me, and obviously others will find that explanation entirely opaque; but it gave me the right outline for the concept that I could nicely fit all the specific instances I'd seen into.
How can we better ask what something is? And how can we better answer that question when someone who doesn't have much conceptual framework for math asks?
math is arguably about all the different ways of expressing the same concept
i think with formal objects, they dont have a "true" identity of what they are, because they are idealized and completely abstract. in many ways, it matters more what they do rather what they "are"
what is the number 1? honestly just describing what 1 is does very little, only through actually using it do you get a better feel for it. sometimes, i think this is the mentality to have, to get used to some rudimentary definition to start, and play with it some, to get a better picture of what this thing really does, and therefore is
this should at least loosen the expectations a bit so the questions are less difficult to answer
Yeah, this is the concept of a schema in the research, people have thought about it quite a lot (I believe Kemp introduced it, at least in the context of maths education?)
I do think sometimes thereās value in asking what something is without qualification as a diagnostic tool
For example I can imagine asking students āwhat is a derivativeā
And Iād be fine with āslope of a curveā, āinstantaneous rate of changeā, āa measure of sensitivityā, etc
But Iād be worried if the answer was āthatās when you bring the power down and subtract 1ā
I agree with everything except that a function is a mapping between sets. The concept of a function should not be tied to the concept of a set. A mapping from one collection (whatever that means) to another sounds better at least to me. Sets cannot be too big.
But before you know that there can be objects that are larger than sets, āmapping between setsā is entirely reasonable.
Isnāt a function defined to be a mapping between sets? At the very least I donāt see it being used in any other context. A mapping between objects need not be a function, and in such cases we do tend to call them maps or morphisms
In set theory, things like the successor function on ordinals, or the power set operator, or Hartogs's function behave mostly just like functions, except being defined for too many inputs to be represented as a set.
Yeah so you could have a function between proper classes
yea this is good as a starting intuition
If you want to formally define a function in ZF then yes, but the concept of a function is not something that depends on the concept of a set. This is what ZF thinks functions are, an implementation of the concept of a function, but not an actual function. A function is not a set of ordered pairs which are pairs of pairs, it is a black box that takes an input of some kind and returns an output of some kind. In a similar manner the concept of one does not depend on the symbol 1 or the definition of 1 in ZF, namely {{}}.
At least that is my philosophy.
I believe this is similar to the point Leinster makes in rethinking set theory and proposing ETCS tbf
But also like meh, these conversations donāt really interest me all that much, I donāt have strong feelings on the matter
Yes, although sometimes people specifically say "set functions"āthis is an odd tangent for this channel though
"Set functions" just as often seems to be a way to emphasize that the functions in question aren't necessarily continuous/measurable/nice.
I think part of the reason why what something 'is' is so difficult for students to grasp, is because they don't know what they don't know. giving them a few examples could actually be kind of detrimental to their learning because it could lull them into a false sense of understanding. once they're confronted with the thing behaving outside of the framework they've developed, they're back to not knowing what the thing is.
at least in the schools that I've been to in the US, we aren't taught how to conceptualize abstract concepts, or even that abstract concepts should be thought of differently than everything tangible we think about
I think early math education should be focused more towards the mindset of math than the symbolic manipulation rules that kids are taught. Obviously teaching how to calculate things is essential and a large part of building understanding, but learning about how to intuit things is glossed over so much
I also believe answers to "what is [blank]" should be more focused on contextualizing the thing rather than giving concrete properties of the thing. When kids don't understand something, flooding them with more information doesn't clear stuff up. I find it better to provide the scaffolding. Then when they learn the properties, they're better equipped to put them together in a way that makes sense
examples aren't inherently bad whatsoever, but if you use them too much without first establishing an outline of the concept, people can easily get lost. It's difficult for people to extrapolate the important bits of an idea with just a handful of examples. Especially if they don't have the mathematical maturity to know how much they should be extrapolating
this all mostly comes from my personal experience with earlier math education. there were so many times where I was shown a couple trees, and it wasn't instilled in me that there was a forest beyond them
Still do you have any examples of this?
That would help me get an idea what you mean
If you need to flood with more information when you're explaining something, you didn't explain in the right order
Motivate with concrete examples first, then abstract
my whole point is that starting with too many examples can lead to confusion. when I was taught what a function was in middle school and early highschool, I was told to think of it like f(x)=y. Or that I should think of it as a graph that doesn't cross the same vertical line twice. Or that a function was something that took an input and gave an output determined by what you gave it. this overload of different ways to think about a function without the abstract notion beforehand kept me from understanding it for a long while
you never want to flood with too much information. when I'm learning something new, I want the outline beforehand, then some concrete examples to see where they fit in the outline.
getting the general idea first, then seeing how examples execute that idea works so so much better for me than the converse. even better if I see some things which don't quite count, but still behave in ways reminiscent of the general idea
i think i would also say that... instead of just saying "a function is this, and also this, and also this", you would ideally want to explain what exactly the connections between the perspectives are, so that they really do feel like multiple ways to view the same thing instead of multiple distinct concepts that confusingly have the same name
All of the definitions you gave are abstract definitions of what a function is
I imagine if you had been given an even more abstract definition to start with, it would have been even more confusing
And my whole thing is I can't imagine what "too many examples leading to confusion" would look like. That doesn't sound like examples to me.
"A function is something that takes an input and gives an output" isn't an example of a function. It's an attempted description of what a function "is".
f(x) = x² is an example of a function.
"The graph doesn't cross the same vertical line twice" isn't an example, and it's also not a definition. It's a property of a function, and a way you can tell whether a graph represents the graph of a function.
Also, f(x) = y isn't an example or a definition. it's a notation for a function.
I know all of this is obvious to people who are comfortable with functions, but the reason I'm bringing all this up is, I don't think any of this is an indication of "too many examples."
Personally, I would say an effective way to introduce functions in a middle school classroom would be:
- Give a motivating example of a function, preferably based on some real-world phenomenon the students are familiar with
- Give a (developmentally appropriate) definition of a function as something that turns inputs into outputs, where each input leads to exactly one output
- Give more examples to help students lock in that intuition, but perhaps using different representations (this is where "The Rule of Four" comes in handy ā words, data, graphs, and formulas)
- As you do this, point out properties of functions, but tie them all back to the definition. The Vertical Line Test can show why a graph doesn't represent y as a function of x, but that's because it violates the "each input leads to exactly one output" part of the definition.
oh no
<@&268886789983436800> the usual MrBeast
It's surprising how often I have to... well, not explain, but correct that understanding
It often doesn't happen in the (A Level) chapter that introduces functions, but in the calculus chapters, whereby a function is explicitly given the name f(x) = ... and a student will go "it's dx'ing time" and start dy/dx'ing all over the place their workbook
Then you call it g(x) and they go blank?
Holy shet the amount of confusion that can stem from shit like that happening yh
Itās interesting how certain variable names end up being sacred like that
<@&268886789983436800>
my students love ramanujan's magic square, the one with his bday
I highly recommend it
why do we learn/teach pascals triangle in conjunction with arithemtic and geometric seq/series how can i motivate it (sorry high school levle pedagogy)
hmm, I've only encountered it in relation to binomial coefficients. it was introduced as a combinatorial tool to count paths through a grid
im specifically thinking about it in the context if the gaussian if that helps? (although thats more for me than for them)
what gaussian? related to seq and series? in high school?
I found several papers on the pedagogy of real analysis cited in the bibliography of this open access real analysis textbook. Here are a couple of citations that particularly stood out to me along with their abstracts:
-
J. Barnes, Teaching Real Analysis in the Land of Make Believe, PRIMUS, vol. 14, Taylor and Francis, UK, 2007, pp. 366ā372.. Abstract: This paper is essentially a story that can be used to help students understand some of the definitions found in a standard introductory real analysis course.
-
S. Seager, Analysis Boot Camp: An Alternative Path to Epsilon-Delta Proofs in Real Analysis, PRIMUS, vol. 30 (1), 2020.. Abstract: For many of my students, Real Analysis I is the first, and only, analysis course they will ever take, and these students tend to be overwhelmed by epsilon-delta proofs. To help them I reordered Real Analysis I to start with an āAnalysis Boot Campā in the first 2 weeks of class, which focuses on working with inequalities, absolute value, and multiple quantifiers. This helps with all the topics which follow, and when we finally reach limits of real-valued functions, the weaker students find epsilon-delta proofs much easier to handle, and are more likely to pass the final exam.
also, the book itself seems pretty good, so i'd recommend checking it out
No reason to apologize for any level of pedagogy!
But I always see it primarily taught when discussing the binomial theorem, just raising (x + y) to a power
Iāve never seen it taught with sequences
Yeah it's nice to show why expanding (x+y)^n leads to a counting problem where the coefficients are nCk and then talk about how you would recursively calculate nCk and then Pascal's triangle motivates itself
my students perceived the homework exercises as easy despite not scoring too well in the exam, and the exam based mostly on those series
i feel so weird and so perplexed by this, and i think they are comparing their homework with another class under a different teacher
what do you think i should do, i hate adding auxiliary difficulty that has nothing to do with the subject, as it does stray from the objective and a waste of effort and time
its all 1 unit here, in grade 11 theyre tested on pascals triangle in conjunction with seq/series. I guess I can think of the sum in the brackets as the difference and the exponent as the ratio, so maybe pascals triangle can be viewed as a composite of arithemetic+ geometric? idk if that's the right framing or valid.
you're probably writing questions that are easy as homework but difficult under exam conditions -- this is actually quite easy to do, since students are much worse at mathematics in the exam hall. This is especially true now where many hw questions can be solved with chatgpt
Instead of adding artificial difficulty to the hws (which i agree is mostly pointless), you'd probably benefit from making the exam questions more structured. Students will find a given question a lot easier if they are guided to the key ideas through multiple parts instead of having to produce the key ideas from their knowledge (even if it's something they've done before). Alternatively, just allocate more points in the exam to basic bookwork like recalling definitions and proving standard basic lemmas (at least if it's a closed book exam -- open book is a lot harder to do this with ofc).
Another facet of this is that a lot of hw questions are pretty impossible to solve only partially (at least up to minutia like forgetting special cases like when things are zero) -- the same question in the exam will have people scoring either 0 or near full points and all the people who get 0 will feel the question was very difficult since they couldn't make any progress and can't see a way they could have made any progress.
I"m thinking of getting a math tattoo, and I want it to be something easy to explain to my students and strangers. I was thinking of a proof of pythag but I'm not sure which one would be best. another candidate is ramanujan's magic square (the one with his bday). suggestions welcome
It might take a long time to tattoo
not quite sure why this is in pedagogy but shrug lol
personally, im less of a fan of printed symbols and actual images as tattoos, because they have so much room for interpretation and baggage for so many people, so if I had to pick something, id pick something abstract: https://en.wikipedia.org/wiki/Einstein_problem
In plane discrete geometry, the einstein problem asks about the existence of a single prototile that by itself forms an aperiodic set of prototiles; that is, a shape that can tessellate space but only in a nonperiodic way. Such a shape is called an einstein, a word play on ein Stein, German for "one stone".
Several variants of the problem, depen...
the downside is that a single tile looks contextless and ugly, to make it look nice you basically have to texture a large patch of skin
I'm not sure if this falls here, but here goes.
I was asked by someone who works for a scientific vulgarization TV show to help explain a "parabolic calculator" to a general target audience, including a lot of kids.
Here is the subject. Consider the parabola $f(x) = x^2$. Choose two non negative numbers $a$ and $b$ which you want to multiply. If you trace the line between the points $(-a,a^2)$ and $(b,b^2)$, it turns out the $y$ intersect is $ab$.
The mathematical proof is quite simple. The slope has to be $\frac{b^2-a^2}{b-(-a)} = b-a$. The line is the one going through $(-a,a^2)$ with slope $b-a$, so it is given by
[
L(x) = a^2 + (b-a)(x-(-a)) = a^2 + (b-a)(x+a).
]
In particular, $L(0) = a^2+(b-a)(a) = a^2 +ab - a^2 = ab$.
Most of the algebra I can explain geometrically (using areas of rectangles) or using intuitive arguments like relating slope to salary. However, this ends up being quite a long explanation. I was wondering if some of you had any ideas as to how this could be explained more directly, while still keeping it light on the math. I reckon a geometric explanation might be good, but I struggle to find one that would explain most of the solution in itself.
Sam
thank you so much, that helped me find little bit of peace of mind, as well as the direction i should put my thoughts toward it
If youāre talking about something where youāll have a screen and narration over it, you can always give a broad overview by voice and just have the algebraic nitty gritty on screen.
Thatās what I sometimes do with videos when I know lots of messy algebra will be involved.
That's what I was probably ending up suggesting. I at least have a way to explain it, but it would be neat to have a prettier answer.
it's here bc I wanna show it to my students and therefore it has to be somewhat accessible
also posts get lost in any of the general chats
makes sense then
<@&268886789983436800> Mrbeast
again? jeez
Happens several times a day. They must have evolved beyond what the automod patterns catch.
mister beast
miter bret
my calc teacher had us do the homework together peer-to-peer in class, so when we didnt know something we held ourselves accountable to learn it
good approach
something else thats been helping me is like, well, i found this book called mathematics for human flourishing and its been a really bit motivator to make me care about all the interesting parts
if i dont get why something works i just really want to know
this can be a hinderance in some classes
your profile description makes me think youd like the book as well
thank you so much for the suggestion i get similar question and something the answer isn't ready or surrounded by doubt that will me at least to lead them to that reference
hmm interesting really giving simple examples behind many math subdomains wich does also explain and put the lecture into a good pov
You might have a class of bad test takers but chances are they were have "outside" help while doing the homework or studying the material, like referring to notes while doing it and not making the connections they need to actually complete a problem without that reference. In my experience the thing that helped me the most throughout my education so far has been struggling with problems and repetition. Also if you are asking students just outright if they thought the homework was easy or how they did they will probably respond with that they did fine, ive seen many people in my classes who are basically failing but still reaffirm that they understand material. Most students will search for help outside of class so they probably wont act like they are struggling in class. Im not a teacher but I feel like the only thing you can do is inform them more about the effort that classes will take and that real effort and struggle will ultimately improve their skills. You of course could try to alter your teaching strategy but time is always limited and things need to be completed within certain time frames so it may not be realistic. About the comparing to other classes, people are always going to do that, i did and still do it. It really doesnt mean anything, students can complain or state that a class is easier, assigns less homework, has a better teacher, etc. but in reality most learning is truly done outside the classroom. I believe a teachers job is to introduce material and answer questions that occur when students further study that material themselves and encourage further development of their education and not to hand hold and teach every specific thing that is needed for a concept. A bit off topic but i feel like ive noticed more people than i would expect who dont spend enough time outside of class learning material, and kind of just use the class as their study time and thats it. I liked grays input, my multivariable calc teacher had group quizzes pretty often and encouraged group work often as well. Group quizzes though i wouldnt recommend (usually leads to one person doing most of the work) but having people hold themselves accountable and in a group of 4 theres most likely someone who would be able to explain it well enough to help out other students.
(this is also heavily biased because i enjoy studying math and find it much more interesting than the average person)
yeah thank you, that is true, probably didn't really test doing homework without external help
Someone in my liberal-arts-for-mathematics class today, for feedback/suggestions for next time I teach it, said "can you do like ... less games, and more instructing?"
(I've made the deliberate decision to make games a common vehicle of introducing new material, and our last third of the class is focused on both classical and combinatorial game theory)
Out of curiosity, what s "liberal arts for mathematics"?
What do you make of that feedback? Like what do they not like in the games and what do you think they meant by "more instructing"?
By "games", do they mean playing a game in class (idk if you did that) or game theory?
I assume both
I think this student just wanted a more ātraditionalā math class that they could student their way through. They were basically never engaged and were always on their phone though.
For example when we did taxicab geometry they refused to accept that a taxicab circle is a ācircleā because itās not round
Oh I should have said it the other way around, mathematics for liberal arts
That makes more sense :-)
Sorry Iām not all here today
Got rear ended on my way to work so itās been a day
Possibly "more instructing" means, "just tell us what the steps are already".
Yeah. Theyāre probably used to āstep 1 do this, step 2 do that, step 3 circle the answerā
i could understand that as a preference if they actually paid attention and had troubles, but if they were on their phones then i think thats more difficult to accommodate
"Yeah, doesn't hurt to check Discord until he begins teaching math instead of ranting about games".
Jeez am I glad I'm a tutor and not a teacher
I've actually tried to explain that in D&D, because the default setting in Roll20 is to use the taxicab metric 
...Then again, I was explaining this to other players, and not maths students lol
i would start by being more general, talking about general movement in a grid
so things like sokoban also count
I would expect the pushback is more about the term "circle" than about "this is what the solution set for d(x,x0)=c looks like". But perhaps I'm too optimistic.
Well the unit this comes from is our geometry unit, but the big meta themes are about generalization and axiomatization
So this was their introduction to āwhat if we changed how we measure distance? What else would change along with it?ā
The way I introduced it was with a ātreasure huntā Battleship style game⦠you and your opponent pick a location for your treasure and then you take turns guessing where each otherās treasure is, and you have to give the ānumber of paces awayā your treasure is from each guess
And by the end of it we looked at how the new ātaxicab circlesā can help you narrow down the location more quickly
I see.
I just went down a rabbit hole of teachers losing their cool and yelling at students on youtube
peak pedagogy
@turbid zenith sooo I switched to using "vibe physics" (or "sportsball" for normies :P) as a pedagogical scaffold to teaching 8-10 year old kids about Noether's theorems and conservation of momentum and energy as time translation invariance. It started out as a joke but now it's turning into a real research paper on applied category theory, kinesiology, and the mathematics of learning.
Most shocking result is symmetry transfer learning where it only took 3 months to reach dexterity parity with non-dominant foot. I obviously can't show any of the kids so at the risk of getting roasted myself, here's a raw video snippet of the results.
I don't know how novel or cross-applicative it is to college classroom environments but at the very least, you (and this discord channel) might get a shoutout/special thanks in the research paper as a lot of this is the culmination of all the math edu content you sent my way
can you elaborate on this? what do the handles have to do with noether?
sure but what are handles?
dribbling skills
applies to sports like basketball, soccer, hockey, etc
haha, oh man I'm so not a sports person
The noether/symmetry part comes in two parts:
- The pedagogical part is teaching from Jakob's book, Physics From Symmetry, but curtailed to 10 year olds
- The "fun part" applied to sports is through learning about static friction, conservation of momentum on how to "trap the ball", how to apply learning drills on right foot to the left foot
in a very meta-way, I also built a coaching app powered by a neural net tailored for each kids progress that are built around this paper Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics.
The last part is where the research paper actually focuses on, which is showing the symmetry between learning dynamics across digital + biological substrates (if you can train a neural net, the neural net can train you!)
Trying to explain to students how we know which rate goes on numerator or denominator. Im struggling to explain it. In my head all I think is "the other way gets you a nonsense answer" but obv that's not a good explanation
Isn't it just if you want to count holes per hour you do holes/hours, if you want to count hours per hole you do hours/holes?
I don't think there's much more to be said...
i think the way i would explain it is
-
firstly, notice that when you add rates like this, you can think of it as adding fractions, which means you can only validly add the numerators
-
secondly, pretend, for instance, Daniel and Rob are cleaning houses together. because they work at the same time, and stop at the same time, it is time that is constant, but it is their work that is combined
-
thus, the thing being combined, the work, must be the numerator, and the thing held constant, the time, must be denominator
This is my instinct too, but then how do you justify that in this case you're wanting holes per hour?
Well, if you want holes in 15 hours, then you want holes in 1 hour
I think asking them to make sense of it first and foremost is EXACTLY the way to go.
Replace āperā with āfor everyā.
In any situation where your rate is a/b, you could come up with a situation where the rate should instead be b/a
(assuming this is a response to me, sorry if I've misunderstood) if you mean that you would say it's because you're solving for holes then that doesn't work because in the first problem you're solving for hours but it's still houses/hour because that's what allows you to add them
I think it's important to emphasise that doing it the other way isn't nonsense, it's just describing a frequency instead of a rate, and that's perfectly meaningful (see for example how runners will describe their paces as minutes per mile or km instead of in units of speed). The only time you get nonsense is when you try to add a speed to a frequency or something like that -- and that's for the same reason that adding a time to a distance is meaningless
Ah, I see, I didn't understand originally that the question was which ones are additive.
Not an explanation, but a good sanity check is that for question 1 you expect the final time to be less than the individual times, while in 2 you expect the combined number of holes to be greater than the individual one
to give an example the other way:
sam can build a home in 40 work hours. however, he has to take a break of 5 hrs for every home he builds. how many hours per home can sam build at?
here the number of homes is constant rather than the number of hours
(response directed at OP)
An aside - that feels pretty fast, mad props to Sam 
Out of curiosity does anyone have the new TI calculator? The TI-84 EVO?
seems to have only come out a few days ago, so i would expect the only people to have it are day 1 orders
wack that this line hasn't been superseded by the nspire only because the nspire is banned from several standardized exam environments
I just see videos of educators having it apparently
And literally my only question is did they find a better way to get to the hyperbolic functions š
If not, it's just sad
how much has ti calculator monopoly been displaced by online tools like desmos/geogebra i wonder
not enough
i've definitely seen a lot of students do all their homework calculations in desmos
can't avoid physical calculators for pencil-and-paper exams though
They do have Desmos for the AP Calculus exam now apparently!
thatās so cursed 
I love it
i graduated high school right before they started integrating desmos into all those exams
idk maybe itās bc I grew up in a relatively more analog era
it does make sense if you're planning to computerize anyway
although i'm not personally huge on computer exams
One of my colleagues allows students to use Desmos on laptops for paper exams if they turn off their Wi-Fi
It's something I want to try next time I teach calculus (in the fall)
sounds difficult to verify
Perhaps it is difficult to do perfectly
But my gut is that if the exam is well proctored then the risk of getting caught outweighs the potential reward
What about the HP calc?
back in high school our math teacher would let us use geogebra on our phone as long as it was in exam mode, it's pretty hard to falsify that one
not sure if it also applies to desmos or to laptop calculators in general
but it surprisingly worked out until we had to get our own graphing calculators and such
unrelated; im trying to tutor a couple of high school "kids" (lol), specifically about limits/derivatives and such. I've done so temporarily for free now to a couple of friends who don't do terribly in math but have been lagging behind on the last year's curriculum but it seems that no matter what I do there is something about limits specifically thats hard to convey to them, more specifically about the definition of a limit using epsilon/delta
I'm starting to think that maybe this is too out of reach for me? I'm barely like 1/2 years older than most of these people but this was something I was really good at in Calculus and when I've done tutoring to much younger kids about more "simple" concepts this didn't seem to be the case
I was trying to maybe look around for some more intuitive and general approaches to teaching this concept but I think the fundamental issue is I'm maybe not even supposed to be teaching this
I think a factor that may make the definition more confusing is the fact that you have a lot (4) cases to deal with and you're not always going to know which one to apply
this also applies to the application of limits themselves I feel like, because iirc this is also kind of the first time in the average Italian math curriculum where you're presented with "something" where you need to match patternS and test what works and what doesn't, as opposed to literally everything else before which is mostly a matter of applying a pattern, singular
it's also hard to do guided exercises for limits without just spilling everything when the person you're tutoring is completely unaware of where to go
maybeee I'm over complicating this a bit but high school calculus is kind of the thing I excel at so not being able to teach it removes a big part of my "toolkit" or whatever
Which four cases? Like limit at infinity vs at a finite point?
yeah
finite limit at a finite point
finite limit at infinity
infinite limit at a finite point
infinite limit at infinity
Yeah I've been unironically thinking that maybe it's easier to talk about neighbourhoods
(Or rather, epsilon-neighbourhoods, at least for a start)
This way you have just one definition, which uses just words
And then you just have to distinguish nbhd of a point vs of pm infty