#help-38
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It’s simple to implement and efficient. I’m not sure how it compares to other methods, you can probably find out through a quick google search though.
If you have a lot of data, then you will need to approximate in sub sections as opposed to the entire data set though to avoid numerical errors
It will certainly be enough with the data you are dealing with by the looks of it. You will just have to do some testing to see how many interpolated functions you need e.g. 31%, 32%, 33% etc, until you find the surface is sufficiently smooth for you
Oh, on a sidenote, would you happen to know how I would properly plot the result via python/matlab/mathematica or other common mathematical software ?
I’m only familiar with matplotlib via python and gnuplot.
Matplotlib has good documentation and tutorials on the website, should be as easy as feeding arrays storing x, y, z values into a function
I just took a quick look at matlab docs, it seems to be just as simple and produces better looking plots so go with matlab
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why did they let the bound be 0.25 to x_1 instead of 0 to 0.5?
@gentle sleet Has your question been resolved?
What do they mean by P(0<=X1<=0.5, 0.25<=X2)?
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help
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idk how to do this at all
Do you know how to convert polar coordinates to rectangular coordinates?
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what unit is this? i heard it was quadratics and Parabola, teacher told me to Be sure to review quadratics and how to solve for the “a” value of a parabola. But idk how to do it.
I have exam which look similar to this paper and ik nothing
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If you slice (horizontally) the solid obtained by rotation into pieces with width dy, you can find the volume obtained by rotating each slice approximately as the difference of volumes of a cylinder (hence cylindrical shell) with radius y and a cylinder with radius y+dy, which is just the volume of a cuboid with width dy, height 2piy and length is the difference between x values which given the same y... if I made the correct shells 😅
Wait this is different from what it was before O_O
-_-
sorry!! i figured out the other one
;(
my bad im very sorry
:(
It's ok
Same thing, cut horizontally to get slices of width dy, volume of the cylindrical shell is same as volume of cuboid with dimensions dy, 2piy, e-e^y
i see
I think that's the only thing you couldn't figure out, what the dimensions will be, right?
Whenever one of the limits is 0, it is easier to figure out the dimensions, but when it isn't, it is helpful to just shift everything so that one of the limits is zero
So it becomes this
@loud sedge Solved?
yep!
Do .close :)
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hello
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How many logical connectives are possible involving the n simple propositions: p1, p2, . . . , pn?
its $2^n$ right?
TheKingPin
I think im misreading this question
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ya, its the wording thats getting me
cause a proposition is a statement that can be proven as true or false right?
ah
true or false are considered both options for one proposition due negation being a connective
so thats wehre 2^n comes from
but wehre does the 2(2^n) come from
cause i feel the other connectives join two propositions like and, or , implication, etc...
what if you could have a connective that works with 7 things
wouldnt the amount of logical connectives for other ones just be n-1?
if we have n=3: p1,p2,p3
you can only have 2 joining loigical connectives 'and' and 'or'
the point is that you can have ← which is like implication but backwards
oh, that complicates thing, i didnt think about that
it's possible to think of it
and there are 2^2^2 things you can think of
with 2 propositions
thats right, so for n=3, there are 3 possible combinations for implication
right cause as you mentioned it can go both directions the implication
and you can only have one logical connective joining two propositions at a time
with implication creating the most possiblities, n
where n is equal to the number of proposition
so if you have n propositions you can have n possible joining connectives.
you also have to take into consideration that they can be true or false due to negation which only needs one proposition
which is 2^n possibility
so combining them would be n^2^n
since negation and joining logical connectives are independent of eachother
bad math
no, i don't know what you're saying and i still don't know what it's asking but it's not what i meant
if n =2 then there are 8 possibilities
since if you take implication there are two possiblities
and 2^n for negation
this doesn't account for ⊻
so, the best, I can find is that youre answer is right because its 2^(# of row)^(# of propositions)
but it isnt making sense to me
in a truth table
think about a set of n variables
the set of all functions of those variables is the set of all possible ways to assign 0 or 1 to each row in the truth table
a single function can be uniquely identified by the set of inputs that map to 1
so you have the set of all possible inputs, and then each function can be represented as the subset of those inputs that map to 1
hence the set of all functions is the power set of the set of all inputs. the cardinality of the set of all inputs is 2^n, so the cardinality of the power set is 2^(2^n)
do I not know what a logical connectives is?
thats negation, and, or, implication right?
yes
we're assuming it's about how many more can you think of
that you were never taught
2^2^n to be precise
not how to combine them
wait what maybe im the one confused here
we're just assuming what the question wants, i don't personally know
2^2^n is the right answer
its just confusing to understand why
lets say n =2, the answer would be 16 , what does the 16 mean/
?
that there's and, or, imlpication, not equals, equals
then its considering a logical connective to just be a function
$f:{0,1}^n\to{0,1}$
esca (@ with reply)
iirc all 16 have names
i would be surprised
im seeing it as the number of combinations you can have with logical connectives. so if you have p and q that would be 4 logical connectives, p and q, not p and q, p and not q, and not p and not q. its irrelevant what you have in between p and q because you have to have a logical connective between them.
im missreading this
how many logical connective, what does that even mean
so if it helps you, you can think of it as just counting all possible boolean functions of n variables
i know what a logical connective is
there are connectives that you weren't taught
if you can accept that, then refer back to here
the question asks to count how many you were not taught
you dont need to exhaustively list every possible connective to count them
the point is that it's solveable
so you mean the number of T and F combinations between n propositions right?
thats the set of all possible inputs, if im understanding correctly
yes
right
esca (@ with reply)
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however, thats the same as, lets say
$(A \land B)(B\lor \neg B)$
esca (@ with reply)
so we need a way of getting a unique signature for each function from which you can construct the truth table
one way of doing this is identifying each function by the inputs that make it true
in the case of $A\land B$ this is the set ${(1,1)}$
esca (@ with reply)
do you follow so far
so, starting with the first part, you created a truth table of A and B and a third column of the result of the conjunction
not sure how thats equivalent to (A and B) (B or not B) theres not logical connective between (A and B) and (B or not B)
ah thats just shorthand for and
oh mb
$(A\land B)\land(B\lor \neg B)$
esca (@ with reply)
no worries
point being that there are a bunch of different ways we can express the same thing
(A and B)(B or not B), (A and B) F, where F is the contradiction, (A and F) and ( B and F) therefore its always false by domination law
do i have that correct?
hmm wdym
this has the exact same truth table as (A and B)
oh i missplaced the or in B for an and
so ya
wait
(A and B) and (B or not B), (A and B) and T where T is tautology, (A and T) and (B and T) which is (A and B)
got it
so they are equivalent
had to write it down
yep exactly
so the main thing im doing here is finding a way to uniquely represent each distinct truth table
and im doing that by saying each truth table is uniquely represented by the set of the rows whose output is 1
do you follow that so far
could you explain that part a little more
in the case of $A\land B$ this is the set ${(1,1)}$
TheKingPin
gimme a sec
this is our truth table for AND. now i want to find a way to uniquely represent this as a set
to do this, we circle each row where xy evaluates to 1
here its just one row
we represent this row as the inputs in an ordered pair (x,y)
put it in a set and we have {(1, 1)}
lmk if im not explaining clearly enough
I think i get it
just to make sure we're on the same page, what would the set corresponding to this truth table be?
set? I know what a set is but im not sure what youre asking. If i had to guess x+y = {(0,0),(0,1),(1,0),(1,0)}
well you included one element there twice
(1,0) is a single element. remember sets cant have two of the same element
oh I meant that as an ordered pair
hmm
hopefully this makes it a little clearer
do you mean something like $A \cup B$?
artemetra
OR is (sorta) equivalent to a union
sorta, i meant to write it like this x or y = (x) x (y) = {(x,y) : x,y in {0,1} } which is {(0,0),(0,1),(1,0),(1,0)}
nah this is just or
a cartesian product
logical or is written as + in circuit design
well each element of the set will be am element in the cartesian product here yeah. thats an important fact that will be helpful later. but its not necessarily all possible elements in the cartesian product that we're including in this representation of the function
its not nonsense, the set of all possible inputs is indeed ${0,1}\times{0,1}$
esca (@ with reply)
ah yes, thats what i meant
but we're looking at a subset of the set of all possible inputs corresponding to the inputs that make our function spit out true
going back to this we have the last three rows evaluate to 1
right, i get why theyre 1
so we just take the inputs corresponding to those
(0,1)
(1,0)
(1,1)
and we put them in a set
and thats our signature for the function
does that make sense
why are we fixated on the rows that produce a 1 for logically connected propositions?
because that is what uniquely identifies our function/connective
I can see that
okay so heres the where the main argument comes in
you mentioned earlier the cartesian product
{0,1}x{0,1}
right
yes
now you know that the signature of any function of two variables will be a subset of this set
so what is the set of all possible functions?
it would be 2^n
well im not asking the size just yet
its not the same thing?
like can you describe the set of all possible functions in terms of the set of all possible inputs?
oh describe the set
{ {0}x{0}, {0,1}x{0}, {1}x{0}, {0}x{0,1}, {0}x{1}, {1}x{1} } I believe
an element of the set {0,1} can only be either 0 or 1. so {0,1}x{0,1} is just the set of all ordered pairs (x,y), which is exactly the set of all possible inputs
oh, thats right, i over thought that
yeah
mb
technically this is right but youre counting some elements more than once
no worries
right, its redundant
basically, the set of all functions is the power set of the set of all inputs
that is, its the set of all possible subsets of the set of inputs
this is a little confusing, so lets assign some notation to it. lets say
$D = {0,1}$. lets consider the case of two variables, and say that a function f takes as input $D^2=D\times D$. $f$ corresponds to some subset of $D^2$ that has exactly the rows of f's truth table that spit out a 1
esca (@ with reply)
then the set of all possible $f$ is the power set of D, $P(D)$
esca (@ with reply)
number of elements?
the number of elements in $D^2$, right
esca (@ with reply)
which is?
ah, yes
so D^2 is the cartesian product DxD where D = {0,1} which is also 2^n basically same idea, you have the element or not
yep
the cardinality of D^2 is 2 to the power of how many variables you have, which is 2
in general, the cardinality of D^n is 2^n. here n is the number of variables
so you just plug that into your equation for the cardinality of the power set
and you have 2^(2^n)
so, the power set is 2^n combinations due to the number of elements in D where n is D which is also a set which has the size 2^n based on the combination of the number of elements right?
i poorly wrote that
yeah exactly
ok, i get that
thats pretty cool actually
I still dont get what the original question is asking though
its just asking for this
I do understand this
lol
is there a simpler way of writting what they are asking?
i just dont like how the question is worded
it confuses me
yeah me neither. i would write something like how many possible unique boolean functions of n boolean variables exist or something maybe
cause i know what we did was write all the possible combination of T and F in a truth talble of any number of variabels
that makes more sense
oh
I think i get it now
there might be logical connectives that I dont know
so to take that into account we found all the possible truth tables that can be written
for the number of propositions we have
yep exactly
w uestion
glad to hear it
pee norm maxxing
esca
that answers all my question. I very much appreciate taking the time to help me understand this
no problem
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$|x| = (x^2_1 + x^2_2 + x^2_3 ... + x^2_n)^{\frac{1}{2}}$
Merineth
Can someone help me find the derivative wrt x?
My guess was
first 1/2 comes down
subtract the exponent by -1
subtract exponent by 1*
Yea

Merineth
$1/2 * (2x+2x+2x...2x_n)^{-1/2}$
Merineth
This was my guess
what about the subscripts
subscripts?
Worth checking, what are you differentiating wrt?
x
$2x_1 + 2x_2 + 2x_3 + ... + 2x_n$
Yea i was just lazy putting them in
Are you trying to find $\nabla \norm{x}$ then?
$1/2 * (2x_1+2x_2+2x_3...2x_n)^{-1/2}$
Yes
The question was find the gradient to the given function
and we are given a bunch of functions
Remember that $\nabla f = \pmqty{ \pdv{f}{x_1} \ \pdv{f}{x_2} \ \vdots \ \pdv{f}{x_n}}$
@whole coral
@full dock multivariate calc for you 
Is it tho?
Considering
the first would be wrt x
and then wrt y
but we only have x
so the gradient would only be one direction?
It is 
wait a sec...
It's so cute that you saved my formula sheet <3
This is what you meant?
$\frac{1}{2(2x_1+2x_2+2x_3...2x_n)^{\frac{1}{1}}$
$\pdv{f}{x_1} = 0.5(x_1 ^2 + x_2 ^2 + ... + x_n ^2)^{-0.5} \cdot 2x_1 = \frac {x_1}{\sqrt {x_1 ^2 + x_2 ^ 2 + ... + x_n ^2}}$
Merineth
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latex 
u just have to become a latex chad (like me or snow) if u want to get this good
Chartbit is a god at latex
i hadn't touch latex until i joined this discord
she essentially held my hand like a toddler for most of my math "career" at uni
Anyhow
CHARTBIT IS A SHE??!?!
Remember you differentiate the insides wrt each of the variables
see as per here for the first one


Are you at least happy with here?
It does happen to be right, yep 
It's a bit confusing rememberig that i have to derive wrt x_1, x_2,..x_n
u should include a \pdv in there somewhere, otherwise it looks like ur just equating |x| and x/|x|
Oh
and get rid of an equals sign
its not a fine detail
In particular, top is not equal to the bottom-
1 more thing: which x are u differentiating wrt?
I'll do it properly next time 
Speaking of next time
Calculate the directional derivative in the direction $(-4,2,-4)$ of the function $f(x,y,z)=\frac{xy^2z^2}{2+x}$ in the point $(2,2,1)$
Merineth
I am not entirely sure i understand gradients well enough to interpret this question
But if i derive and find nabla to the function. Plug in the point 2,2,1 should i get the answer?
derive and find the gradient*
One extra thing you need too-
Yep, you have a directional derivative, though be careful what you choose as v
$\nabla f(a)\cdot v$
Merineth
v is to be the direction, but there's a condition that v must satisfy first-
|v| = 1?
Yep, and the direction they give you originally?
Not quite
remember |v| is a number
The vector norm is supposed to be 1
The norm of a vector is a number
Or you at least very much should have 
Merineth
Almost, sqrt that

And there's an easy fix to that 
They remove access to view courses we already passed ._.
Literal dogshit
That's just a shit policy tbh 
Even with me, most of the courses are actually not only still available, but the current versions are openly accessible for anyone 
The word is just banned 
Yea, how do you make it 1 
we multiply it with lambda?
And what do you wanna choose as lambda 

You can always divide by the norm (for nonzero vectors) to get a unit vector in the same direction 
Awwwww
yeaaa stuff's all really linked and shows up everywhere you go 
So i can only use the formula if i have |v| = 1
I don't understand why that condition is set, but i can see the formula requires it
However i have no idea how i make it = 1
We aren't even given the formula sheet for linear algebra on the exam
so how am i supposed to remember this by heart?
You just remember that you can always- 
If $\norm{v}$ isn't already 1, then replace $v$ with $\frac{v}{\norm{v}}$
@whole coral
That just scales v (and as the norm is strictly positive, direction remains unchanged, doesn't end up pointing in the opposite direction or anything) and "clearly" has norm 1
Like so?
oh wait a minute
isn't a unit vector (1,1,1)?
always?
fuck my life
i can't remeber this
Unit vector means its norm is 1, and in fact, (1, 1, 1) is not a unit vector as it does not have norm 1
How am i supposed to remember linear algebra
A unit vector, you just need to work out its norm, and see that it should be 1
what does normalize mean
"make it have norm 1"
The length of the vector!
"A normalized vector maintains it's direction but it's length becomes 1" ?
(there needn't be a "plane" under consideration, even-)
Alright i think i get it
we divide a vectors length by it's length, making it = 1 and preserving the direction?
You divide a vector by its length, and the result then will have length 1 and same direction, yea 
Merineth
This statement is true?
Since i divided it with |v| it's now normalized and we can use the formula
Do you have any advice to find the gradient?
$\nabla f(x,y,z) = xy^2z^2(2+x)^{-1}$
Merineth
Write it as such and apply product rule wrt x, y and z?
They’re not equal, but the second is a unit vector in the same direction as the first, you use the second one in the formula
And more differentiate the original expression wrt each of the variables
It's a bit tricky to differentiate
$\frac{\partial f}{\partial x} = y^2z^2(2+x)^{-1} + xy^2z^2 * -1(2+x)^{-2}$
Merineth
Does this seem right?
PEE NORM 

$\frac{\partial f}{\partial x} = y^2z^2(2+x)^{-1} + xy^2z^2 * -1(2+x)^{-2} \ \
= \frac{y^2z^2}{2+x}-\frac{xy^2z^2}{(2+x)^2} \ \
= \frac{(2+x)(y^2z^2)-xy^2z^2}{(2+x)^2} \ \
= \frac{2y^2z^2+xy^2z^2-xy^2z^2}{(2+x)^2} \ \
= \frac{2y^2z^2}{(2+x)^2}$
Merineth
Repossessed by grey cat 
Now i just do dot product with my normalized vector v
i'm saving that immediately
Other cat said what about her 
i got the final answer to -7/3?
it's supposed to be -11/3
hmm
weirdly enough
chat gets -7/3 also?
Ohwell think i'm done for today c:
i did learn a few new things which is nice c:
Gonna have to continue with calc tomorrow and discrete math ._.
I hope you'll be on @whole coral 
ily bai
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Why does the ** equation hold? I don't understand how it's implied from the fact that matrix with two identical rows has a 0 determinant.
relevant definition (TLDR: T_i, j is cofactor)
t's are the entries of the matrix
<@&286206848099549185>
When calculating the determinant of a matrix you can make lineair combinations of rows with rows and columns with columns. If you have two identical rows, you can substract one row from the other identical row, thus creating a row with only zeros. If you have a row with only zeros, the determinant is always zero.
so equation (*) is the usual laplace expansion right
it gives you the determinant
now imagine you replaced row k with row i
and did the laplace expansion in row k
you'd get the expression in (**)
yep
np
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Im very confused by the bounds
the inner integral covers the bounds for x_1 right
so why is it stat=rting from
0.25
instead of 0
we have 0 <= X_1 <= 0.5
so shouldnt the bounds for inner integral be 0.25 to 0.5
inner integral is x_2
doesnt have to be
why is it doing 0.25 to 0.5 instead of 0 to 0.5
oh sorry
x_2 is less than or equal to x_1
so x_1 is greater than or equal to x_2
$x_1 \geq x_2$
artemetra
and $0.25 \leq X_2$
oh my god
artemetra
so x1 is also from 0.25
it's okay
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✅
its related to this question btw
forgot to mention that
for the first one shouldnt it be 0.25 to x_1 since we r integrating wrt dx_2?
x_2 is between 0 to x_1
the lower bound of 0.25 was from the first probability question, i.e. P(0.25 <= X2)
but otherwise, in general x2 is between 0 and x1
oh so we dont care about the bounds for x_2 we focus on the bounds of f instead? and we have 0 <= f <= 1
oh wait
ohhhhh
yes because you are not finding some probability, you are finding the pdf over the whole ranges of both variables
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no problem!
.reopen
✅
sorry but another question about bounds 😭
why dint they let the outer bound be x_1 to 1 ?
why 0 to 1
wont we be integrating over the same bound twice?
0 to 1 also covers 0 to x_2 right
How
If the outer bound is x₁ to 1
After you evaluate both integrals it’ll be a function of x_1
But the expectation should be some number
Not a function
Bounds can only be functions of outside variables
oh I dont get how they got the bounds then
The outer bound can’t be a function of x₁ because x₁ was already integrated out
why is the inner bound 0 to x_2
The inner integral is taking each slice of some x₂ value
The outer integral is taking all such slices
oh so the very outer integral bounds shoulkd always cover the whole space?
for this
why couldnt the inner integral bound have been 0 to x_1 or x_1 to 1?
I dont get that
Calculus 3 Lecture 14.1: INTRODUCTION to Double Integrals (Background Info): A lesson on where double integrals come from, what they represent, and how to understand them.
I recommend learning multivar calculus first
Bro why is Leonard posing
You can’t have bounds that depend on the integration variable
After you integrate you should lose all the x₁’s
Im taking that course along with this
ill peep the vid real quick
If the limits still have x₁ it’ll still be a function of x₁
I really really like his teaching style, it’s a whole calc playlist
I pretty much learned all my calculus knowledge from his channel
This and the next few videos solidify everything you should know about multivariate integration
It’s good to spend just a few hours over like 2 days and the idea of bounds should be completely clear after watching the videos
But make sure you’re actively watching not just playing it in the background
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10 won't get you all the way there
so either 11 or find the exact (non integer) value
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are isomorphisms transitive?
Yes
@still idol Has your question been resolved?
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I have a question
You have a diagram of x and h
X numbers are listed 1,2,3,4
Y numbers listed 2,4,8,16
Is this linear or not
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let $f$ and $g$ be functions with three continuous derivatives such that $\\\begin{cases} f(3) &= 4 \ f'(3) &= 2 \ f''(3) &= 3 \end{cases}\\$ and the taylor polynomial of $g$ of degree $2$ centered in $x_0 = 1$ is $\P(x) = \frac{(x-1)^2}{2} + 2(x-1) + 3$. $\\$Find the taylor polynomial of degree $2$ centered at $x_0 = 1$ of $f \circ g$.
calc_and_real_anal
What does g map x = 1 to?
3
Can you construct the taylor polynomial of f centered here?
no
Can you find the taylor polynomial of f at 3?
,, Q_2(x) = f(3) + f'(3)(x-3) + \frac{f''(3)}{2!} (x-3)^2
That’s centered at 1
calc_and_real_anal
Ok, what about the values of g, g’, g’’ at x = 1
we know $P_2(x) = \frac{\left(x-1\right)^2}{2} + 2(x-1) + 3 = \frac{g''(1)}{2!}(x-1)^2 + g'(1)(x-1) + g(1)$
calc_and_real_anal
Yup. We also know f(g(x)) centered at 1 has something to do with the two taylor polynomials and derivatives you have found
How might you find the derivatives of f(g(x)) centered at 1
which $\implies \begin{cases} g''(1) &= 1 \ g'(1) &=2 \ g(1) &= 3 \end{cases}$
calc_and_real_anal
,, \frac{d}{dx} \left[f(g(x))\right] = f'(g(x)) \cdot g'(x)
calc_and_real_anal
Yup, (f(g(x)))’ = f’(g(x))g’(x) => f’(3)g’(1)
okay $f'(3) \cdot g'(1)$ now what?
calc_and_real_anal
Can you do the same for the second derivative?
,, \frac{d}{dx} \left[f'(g(x)) \cdot g'(x)\right]
calc_and_real_anal
product rule + chain rule
omg
haha
,, \frac{d}{dx} \left[f'(g(x)) \cdot g'(x)\right] \
\left[ \frac{d}{dx} \left[f'(g(x))\right]\cdot g'(x) + f'(g(x)) \cdot \frac{d}{dx}\left[g'(x)\right]\right]
Nice, then once you have the derivatives, you should be able to write out the taylor polynomial
calc_and_real_anal
okay
chain rule

,, \frac{d}{dx} \left[f'(g(x)) \cdot g'(x)\right] \
\left[ \frac{d}{dx} \left[f'(g(x))\right]\cdot g'(x) + f'(g(x)) \cdot \frac{d}{dx}\left[g'(x)\right]\right] \ \left[ \left[f''(g(x)) \cdot g'(x) \right]\cdot g'(x) + f'(g(x)) \cdot \left[g''(x)\right]\right]
how do I differentiate that
do I need chain rule
You have differentiated everything you need
right side
Derivative of g’ is just g’’
calc_and_real_anal
Now you just need to evaluate at 1 and write out the taylor polynomial
,, Q_2(x) = f(3) + f'(3)(x-1) + \frac{f''(3)}{2!} (x-1)^2
,, \begin{cases} f(3) &= 4 \ f'(3) &= 2 \ f''(3) &= 3\end{cases}
calc_and_real_anal
how
im so confuseddddddddd
(f(g(x)))’ = ? at x=1
f(3)
What is this?
What is this?
We calculated this using the chain rule above
but f(3) remains
You are doing it centered at 1
calc_and_real_anal
f(g(x)) at 1 is f(3)
yes
You are given the value of f(3)
,, Q_2(x) = 4 + 2(x-1) + \frac{3}{2} (x-1)^2
calc_and_real_anal
okay, how do I check my solution
Plug in some values close to x = 1 and see if they match closely the actual values of f(g(x))
can you check on wolfram and send screnshot
Sure, you should be able to check with substitution using the taylor series of f and g manually too, but that is a lot of work
.close
given the series $\sum_{n = 1}^{\infty} \frac{3^n\left(x-4\right)^n}{a^n\sqrt{2n+1}}$ find $a > 0\\$ such that the radius of convergence is $2$. $\\$For the found a value, find all $x\in \mathbb{R}$ such that the series converges.
calc_and_real_anal
what have you tried
I was thinking of maybe applying ratio test but unsure if it will work
it should work out
,, |x-4| < \lim_{n \to \infty} \frac{3^n}{a_n \cdot \sqrt{2n+1}} \cdot \frac{a^{n+1} \cdot \sqrt{2(n+1) + 1}}{3^{n+1}}
the limit is without (x-4)^n
and without (x-4)^(n+1)
because it is one the left side already
calc_and_real_anal
,, |x-4| < \lim_{n \to \infty} \frac{3^n}{a_n \cdot \sqrt{2n+1}} \cdot \frac{a^{n+1} \cdot \sqrt{2(n+1) + 1}}{3^{n+1}} \ \implies |x-4| < \lim_{n \to \infty} \frac{3^n}{a^n \cdot \sqrt{2n+1}} \cdot \frac{a^{n} \cdot a \cdot \sqrt{2(n+1) + 1}}{3^{n} \cdot 3}
calc_and_real_anal
,, \implies |x-4| < \lim_{n \to \infty} \frac{a \sqrt{2n + 3}}{3\sqrt{2n+1}}
calc_and_real_anal
nice
,, \implies |x-4| < \lim_{n \to \infty} \frac{a}{3} \cdot \sqrt{\frac{2n+3}{2n+1}}
,, \abs{x-4} < \lim_{n \to \infty} \frac{a \sqrt{2n + 3}}{3\sqrt{2n+1}} \ -\lim_{n \to \infty} \frac{a \sqrt{2n + 3}}{3\sqrt{2n+1}} <x-4 < \lim_{n \to \infty} \frac{a \sqrt{2n + 3}}{3\sqrt{2n+1}}
a moment
this limit is solvable
is approaching a/3
,, -\frac{a}{3} < x-4 < \frac{a}{3}
calc_and_real_anal
how do I check my solution
wdym
if R = 2 , $a \in (-6, 6)$
uhm wait
calc_and_real_anal
@wild quail
(-6,6) is not correct notation
how do I find a then
a = 6
okay
a > 0 anyway
maybe there is an online calculator
but you also need to determine the interval of convergence
how to find all x such that this converges?
this
,, -\frac{6}{3} < x-4 < \frac{6}{3} \ \implies \frac{-6 + 12}{3} < x < \frac{18}{3}
not sure if this was already addressed, but the endpoints should be checked
calc_and_real_anal
yea this too
it's just -2 < x-4 < 2
wdym
borders
given the series $\sum_{n = 1}^{\infty} \frac{3^n\left(x-4\right)^n}{a^n\sqrt{2n+1}}$ find $a > 0\\$ such that the radius of convergence is $2$. $\\$For the found a value, find all $x\in \mathbb{R}$ such that the series converges.
like previous times same blue print
calc_and_real_anal
$\begin{cases} &\sum_{n = 1}^{\infty} \frac{3^n\left(2-4\right)^n}{6^n\sqrt{2n+1}} \\ &\sum_{n = 1}^{\infty} \frac{3^n\left(3-4\right)^n}{6^n\sqrt{2n+1}} \end{cases}$
and a?
6
calc_and_real_anal
also you cansimplify 3^n/6^n
$\implies \begin{cases} &\sum_{n = 1}^{\infty} \left(\frac{1}{2}\right)^n\cdot \frac{\left(2-4\right)^n}{6^n\sqrt{2n+1}} \\ &\sum_{n = 1}^{\infty} \left(\frac{1}{2}\right)^n\cdot \frac{\left(3-4\right)^n}{\sqrt{2n+1}} \end{cases} \\\ \implies \begin{cases} &2 \cdot\sum_{n = 1}^{\infty} \left(\frac{1}{2}\right)^n\cdot \frac{\left(-1\right)^n}{6^n\sqrt{2n+1}} \\ &\sum_{n = 1}^{\infty} \left(\frac{1}{2}\right)^n\cdot \frac{\left(-1\right)^n}{\sqrt{2n+1}} \end{cases}$
calc_and_real_anal
wait, you found the interval of convergence to be (2,3) even though the series is centered at 4?
that doesn't make sense
it should be symmetric around x=4
we ommited $(x-4)^n$ when taking ratio test
calc_and_real_anal
I think
sure
okay
but if the radius of convergence is R then the interval is gonna be (4-R, 4+R)
possibly including the endpoints
2, 6
,, -\frac{6}{3} < x-4 < \frac{6}{3} \ \implies \frac{-6 + 12}{3} < x < \frac{18}{3}
calc_and_real_anal
yea, assuming R=2
nw
so $x \in \left(2,6\right)$
calc_and_real_anal
yea, and you have to manually check 2 and 6
the series may or may not converge at the endpoints
$\begin{cases} &\sum_{n = 1}^{\infty} \frac{3^n\left(2-4\right)^n}{6^n\sqrt{2n+1}} \\ &\sum_{n = 1}^{\infty} \frac{3^n\left(6-4\right)^n}{6^n\sqrt{2n+1}} \end{cases}$
calc_and_real_anal
$\implies \begin{cases} &\sum_{n = 1}^{\infty} \left(\frac{1}{2}\right)^n\cdot \frac{\left(2-4\right)^n}{6^n\sqrt{2n+1}} \\ &\sum_{n = 1}^{\infty} \left(\frac{1}{2}\right)^n\cdot \frac{\left(6-4\right)^n}{\sqrt{2n+1}} \end{cases} \\\ \implies \begin{cases} &2 \cdot\sum_{n = 1}^{\infty} \frac{\left(-1\right)^n}{6^n\sqrt{2n+1}} \\ &\sum_{n = 1}^{\infty} \left(\frac{1}{2}\right)^n\cdot \frac{\left(2\right)^n}{\sqrt{2n+1}} \end{cases}$
calc_and_real_anal
go back to this:
2-4 = -2
in the first one you get (3^n (-2)^n) / 6^n which is just (-1)^n
in the second one it will be just 1
wait
so the first one should simpflify to (-1)^n / sqrt(2n+1)
what happened to the sqrt
that should be $\sum_{n = 1}^{\infty} \frac{(-1)^n}{\sqrt{2n+1}}$?
calc_and_real_anal
ok
and the second one the same but not -1 but 1
that second one should be $\sum_{n = 1}^{\infty} \frac{(1)^n}{\sqrt{2n+1}}$
calc_and_real_anal
how to check convergence now?
what happend to the 2^n term in the denominator
(1/2)^n
,,\frac{3^n}{6^n} = \frac{1}{2^n}
now what (𝔸dωn𝓲²s)
but the limit of (1/2)^n is the same as the limit of 2^-n
$\implies \begin{cases} &\sum_{n = 1}^{\infty} \left(\frac{1}{2}\right)^n\cdot \frac{\left(2-4\right)^n}{6^n\sqrt{2n+1}} \\ &\sum_{n = 1}^{\infty} \left(\frac{1}{2}\right)^n\cdot \frac{\left(6-4\right)^n}{\sqrt{2n+1}} \end{cases} \\\ \implies \begin{cases} &\sum_{n = 1}^{\infty} \frac{\left(-1\right)^n}{\sqrt{2n+1}} \\ &\sum_{n = 1}^{\infty} \frac{\left(1\right)^n}{\sqrt{2n+1}} \end{cases}$
lowkey
mb
calc_and_real_anal
,, \sum_{n = 1}^{\infty} \frac{1}{\sqrt{2n+1}} \geq \sum_{n = 1}^{\infty} \frac{1}{\sqrt{4n}}
this seems to diverge more
so we could try to find a smaller series that diverges
compare it to 1/sqrt(4n)
I need more hints
this comparison test does not tell anything about convergence though, we still need to check the convergence
now what (𝔸dωn𝓲²s)
we want to know if the borders are legit
yea
and 1/sqrt(n) diverges after the integral criterion
so for x = 6 it diverges
wdym
you could also save the images i sent smh
,,\sum_{n=1}^{\infty} \frac{1}{n^{\alpha}} \text{ converges for } \alpha > 1
now what (𝔸dωn𝓲²s)
integral test a bit overkill here but sure, it works
use this fact
that is p test?
yea this
alternating
yea, see if it satisfies all the requirements for the alt series test
which one leibnitz or alternating?
calc_and_real_anal
You can prove algebraically 1)
I need more handholding
a_n has to be a null sequence




