#help-49
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you try to solve (x+1)/(x-2) < 3 and you get 2.5 < x as solution:
how does this match if you assume x = 3 and you get 4?
and explain how you get this:
@last slate ???
I splitted the inequality
no
so you should realize that your solution 2.5 < x cant be correct.
explain how you get this two lines out of the starting fraction.
I dont know why Im getting that for my answer
I multiplied x -2
what have you learned about multiplying an inequality?
if you multiply by negative you have to flip it
so, is x-2 positive or negative?
you have to look at two cases for each part of the inequalities.
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Two cars A and B are moving on parallel roads in the same direction. Car A moves with constant velocity 30 m/s and Car B moves with constant acceleration 2.4 m/s^2. At t=0, car A is 120m ahead of Car B and Car B is moving with velocity 12 m/s. Find the distance travelled by car B until it overtakes car A
your amma so small she can be described digitally? /jk
- Relative
by ideas of relative motion, we can consider Car A having $a=-2.4$ and $v=30-12=18$ and find the time $t$ it takes to cover the $120$ metre gap
rak³en
Then by $s = ut + \frac{1}{2}at^2$, we have $120 = 18t - 1.2t^2$
rak³en
but the equation does not have real roots
So i thought maybe i blundered i went absolute distance approach
$x_A(t) = 30t$, $x_B(t) = 12t + 1.2t^2$, $x_B(t) + 120 = x_A(t)$
rak³en
displacement is -120 if you say car b is fixed
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uh.. how do i solve this?
Why not 2x - 2x = 0?
it should be dy = vdx + xdv btw
is this correct?
shouldn't the first line be 2xy+x² there in the denominator?
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can someone help me ques 10
i think we just need to calculate the volume between green and red circal
i did a exercise in the past with the same 2 circals like that and i used polar form
i need your help
i just let f(red) = f( green) ( bc both of them =1) and i found x=y is there anything more
Do you have any idea how to find the volume between them?
use the polar form
i think so
so we hhave 1/r^3 dr dtheta
theta from 0 to pi/4 r from 0 to 2 costheta
is that right
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identify the corresponding power series
i tried using sinx power series, but idk what to do now
i tried differentiabting it but i got (2n+1) instead of n
maybe try something like $\sum(2n+1) = 2\sum n + \sum 1$
Bungo
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Uh I am stuck at drawing the golden theorem lmao
so ig I come to the math server for some umm help 🤓
wut
You want to make a spiral?
Get a compas
Maybe verify the mesure of theses little squares
I just round off the values lmao
Let me just redo it with more precious measurements
Then its normal to not have the same thing cuz rounding over rounding makes it changing too much sometimes
Thanks you
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Gut
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Let A, B, C, and D be four distinct points in the plane.
Which of the following statements, expressed using oriented angles, are always true?
Tick each correct option.
-If lines AB and CD are distinct and parallel, then
the oriented angle ABC is equal to the oriented angle DCB.
-If B lies on the segment [AC], then
the oriented angle DBA plus the oriented angle DBC equals 180°.
-If the oriented angle ABC plus the oriented angle BCD equals 0°, then
lines AB and CD are parallel.
-If the oriented angle ABC plus the oriented angle BCD equals 180°, then
lines AB and CD are parallel.
Please don't occupy multiple help channels.
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I think I need some help
.rotate
,rotate
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1 is neither prime nor composite
yep
no no
like see
when we say a is divisible by b
when a\b = x where x is an integer right
?
yes, that is true
ok then
0 is divisible by 2 means 0\2=0 wihich is an integere
acc to defination of even number i.e all integers which are divisible by 2 are even
this stisfies it
0 is divisible by 2 means 0\2=0 wihich is an integere
acc to defination of even number i.e all integers which are divisible by 2 are even
this stisfies it
all numbers ending in 0 2 4 6 and 8 are even, yes
4 is even, 7838 is even, 678903 is not, 0 is too
but 0 does not count in odd numbers because odd numbers are those integers which are not divisible by 2 although 0 is divisible by 3 and all other numbers we dont count it here is bcuz it is also divisible by 2
if you divide 0/2 you can make 0 pairs, without no element left
?
this understanding correct?
my teacher told this'
yes, its right
if you divide 6 by 2 how many pairs can you make?
3 pairs
is there any element left?
btw what you mean by pair here
reminder is 0
a couple, a pair, two things together
what about 5, how many pairs can you make with 5 objects?
i know what is pair but 6\2=3(quotient) and 0 is reminder right why consider number "3" as 3 pairs
its just an intuitive way of thinking
can u help me with it
you can make 20 pairs with 5 objects? but you only have 5
i though it like this may be wrong sorry :1,2,3,4,5 = (1,2),(1,3)(1,4)(1,5)(2,1)(2,3)(2,4)(2,5)
like that
you're asking about an elementary concept, calm down ok, dont add more work
there is an element left - 5 is not an even number
when you make pairs (divide by two) with even numbers you get no elements left (no reminder)
if you have 0 objects and try making pairs, will any element last?
@dreamy wolf
@dreamy wolf Has your question been resolved?
can you answer that question then?
wait a min
if we dont have any objects how can we make any pairs
we cant make nay
any*
will any elements last tho?
nope
so its even
nothing will last since we cant even make pairds of nothing
ohh nice
thnx makx cat
hey i will close this
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2^m-2^n=56
how can I solve it?
are m and n natural numbers?
yeah
i suggest trying some small values of n
that will give you some intuition to what is going on
no
in what context did this problem show up?
only solving
well then you're done
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.close
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can some one tell me what ques 3 is asking for , and guide me ques 5
for ques 3 i dont understand the question
ques 5 i divide into 2 cases
case 1 first time probal black 4/10 the lost 1 ball then second time Probal brown 6/9
case 2 first time probal brown 6/10 the lost 1 ball then second time Probal brown 8/12
so i add 4/10 * 6/9 + 6/10* 8/12 so i get the answer right
3rd question is asking that if there are 15 bulbs to be installed, and the ordering doesn't matter, the only thing that matters is number of yellow bulbs, red bulbs and blue bulbs. How many possible designs are there?
One of the possible design is: 5 yellow bulbs, 5 red bulbs and 5 blue bulbs.
can u check my work of ques 5
with ur idea ive solved ques 3 the answer is 14c2
yes, I checked it, it's correct.
lovely thank you
not exactly, here you're assuming that each color should appear at least one but one of the possible designs is: 10 yellow bulbs, 0 red bulbs and 5 blue bulbs.
still not correct 😅 , 14c1 should be multplied by 3c2.
why =((
but there's an easier and general way, imagine if there had been 5 colors then you had to consider 5 cases.
because you also have to choose which two of these colors are appearing
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I took the dervative and got that
Qx = b
i then said for the FONC to be satisfied there can be no directions which changes this.
So i then went Q(x + alpha d) = b implies Qx + alphaQd = b only when alphaQd is zero. There cant be any directions that violate the FONC.
Is this a vald approach?
what does FONC stand for?
first order nessecary condition
i am not sure i can fully grasp the logical structure of your argument here cause it is a little bit obscured
but presumably you would need to prove FONC=>min and also min=>FONC with clear separation between the two subproofs
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prove that <HKE = <MKE
are there any relationships or something? like written down?
thanks for decided to help me with this messy diagram , but i just did that some mins ago so , anyways thanks
.close
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happy mathing then 
if you like proving geometry like this just inbox me and ill give you tons of them :)
i'm already exhausted with my national olympiads no more 😭
i'm already ignoring a lot of problems because i have stuff to do, don't wanna add more problems on my list 
is that diagram i sent familiar to your olympiad? 
maybe... i've forgotten a lot 😔
wow thats just the daily homework we have to do everyday 
good luck 
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can some one help me problem a
the problem is find CDF
my work, x+x^2/2 if x<0 , x-x^2 if x<1, 1 if x>1
i was thinking if x <1 it should be x+x^2/2 +x-x^2/2=2x because comunitive function so i think i will + 2 of them
@silent torrent Has your question been resolved?
help me
i suggest that you state the formula of CDF first
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He says that 1+a)^2 > a. This implies that a+1 > a. But isn't it the other way around. a+1> a which is obvious so squaring it will also me it is greater than a. And for showing that the set is not empty how can he just say that the element exists. Doesn't he need to proof it somehow
@sand flume Has your question been resolved?
@sand flume Has your question been resolved?
It isn't the other way around, squaring a + 1 > a will give you (a + 1)^2 > a^2, but you don't know that a^2 > a (and if a is between 0 and 1, it isn't)
They also are not saying that "This implies that a+1 > a", they're saying that 1 + a is an upper bound for S, the set of all positive numbers x such that x^2 < a, if x is in S, then you have x < 1 + a because x^2 < a < (1 + a)^2
They also didn't just say an element exists for showing S is non empty, they gave you a particular element, that being a/(1 + a)
Could you into more depth about this: x^2 < a<(1+a)^2
But how did they produce it?
If that makes sense
The definition of the set S is all the [nonnegative] elements x such that x^2 < a, and you have a < (1 + a)^2 (you can e.g. expand out (1 + a)^2 = 1 + 2a + a^2, which as a is nonnegative, must be strictly greater than a), so you can chain those inequalities together for a given x in the set to give you x^2 < a < (1 + a)^2, to condense that down, x^2 < (1 + a)^2
For the thought process that got them to think about it, I wouldn't know what to suggest, but as for how they proved it was even a member, notice here: a/(1 + a) is nonnegative (a fraction of a nonnegative and strictly positive number), and (a/(1 + a))^2 <= a follows from rearranging a^2 <= a(1 + a)^2 = a^3 + 2a^2 + a (notice that a^3 + a is nonnegative also)
One second let me read through this
But how do we know that (a+1)^2> a
I said inside the message: "you can e.g. expand out..."
Ok and then in his writing he says that since it is bigger than a. a+1 is an upper bound. Doesn't this word say that the first implies the second
It does, the implication is the fact that x^2 < a < (1 + a)^2
Yes but what about the a+1
a + 1 is an upper bound of S because all elements of S are less than a + 1
That is what this shows
So I understand why (a+1)^2> a and a+1>a is obvious since it is 1 greater than a. but the connection between the two I don't see. They are just two distinct upper bounds.
So here your saying we start off from a^2<= a(1+a)^2 and rearranging this we get (a/(1+a))^2<a
a + 1 > a is irrelevant and isn't used anywhere
You could, sure 
The main aim is to get some upper bound of a, which a < (a + 1)^2 allows you to deduce a + 1 is an upper bound for you
Then showing that the set is non empty allows you to consider the least upper bound of S
Wait how can a+1 > a be irrelevant if that means a+1 is an upper blund
a < a+1 < (a+1)^2. importantly a+1 is at least 1 so the last inequality holds. at least thats how I would argue
And, except perhaps in using it to prove said upper bound exists, you don't care that a + 1 is bigger than a
As per here, you don't need to use a < a + 1 to show the inequality
essentially they are being smart and hiding a case distinction that way. the problem is that x<x^2 is not true if x < 1. so if a<1 then you could for example say that 1 is an upper bound for S. and if a >= 1 then you could say that a itself is an upper bound. it doesnt matter how your upper bound looks like, only that you have one. by doing it this way they combined both cases
and to show that S is nonempty, for a < 1 it holds that a is in S and for a >= 1 it holds that 1 is in S. so again thats some element in S. again it doesnt matter what element you have, only that S is nonempty
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how do i get better at math? i do so many question yet feel like im not making much progress..
a level maths
?
it's also not a math question
#discussion or #serious-discussion or #math-discussion is better
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look like someone typed you
mb boss
your profile nothing
when you message it looks like someone typed your name and message
do more be patient try understanding questions than thinking about how many questions I did and how much I did not
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!15m
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Oops sorry
pretty sure there has been some error in finding f(x)
you should get a ratio of two linear polynomials
it's not in the work you are showing
before that
in calculating f(x)
you could try something like this
or show what you tried to reach f(x)
Ok ill send
ok now simplify 2arctan using the identiy and convert it into a normal expression right?
no like
all the steps you showed are correct for what you got
so it seems like the conversion of cos(arctan(..)) was where something happened
but idk what you did there
Ok gimme a min
Lemme re work it
I forgot to take the root of the hypotenuse
Is this correct nowM
yes
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An algorithm is a way to go from input set to output set right?
This needs the output set be well defined?
In that case how do we talk of approximation algorithms?
Because they simply pose a bound on how much worse it can be from the optimal
can you show the context
For example for vertex cover problem approximation algorithm we have a 2x bound, it can end up with a cover upto 2x larger than the smallest, but it's simply an "upto" bound, not exactly 2x, so it seems to have a ill defined output set?
an algorithm is just a list of steps, the input set doesn't need to be the same size as the output set
Outputs (aka ranges, images, or codomains), are usually defined to be a subset of some established set. And one of the axioms of set theory is that all subsets of a known set are well-defined.
The codomain would just be the set of all possible outputs. We don't really care about the size, so long as we know this set is well-defined (which it is)
so for f(x)=0 you get dim(x)=∞ dim(f(x))=0
I'm still a bit confused
I'll try to state my confusion clearly wait
So in the ordinary vertex cover problem our domain is basically the set of all undirected graphs. And our co domain is the set of natural numbers.
And because we only want the smallest vertex cover, each graph will be mapped to a particular number for sure.
But in an approximation algorithm, that assignment of a number to each graph can be random based on what algorithm we use, it's just that each graph will be assigned a number in the range of [v, 2v] where v is the size of the minimum vertex cover
There's still no harm here. It's kinda like saying "some arbitrary number". We don't need th exact deets. We just work with the info we have
So somehow our algorithm is determining our function and not the other way round
I mean, an algorithm really is just a function.
An algorithm is the steps to compute a function, usually we have a well defined function, and then we can have various algorithms for going from an input to it's output
Umm
Not saying there's any harm but it seems to me that
In case of approximation algorithms we have the function undefined
When usually any algorithm we work with has a well defined function
And then we try to construct a algorithm which will achieve that
Here it seems we are defining a range of functions, and creating an algorithm that will end up being any one of those functions, that range satisfying the property of some bound over optimality
okay, let's scale the problem down. What do you mean by "approximation algorithm"? It doesn't return the most optimum result, just a best try?
Yea but it has a bound on how bad it's results can be
So for example if we want the smallest path from point A to point B it will at worst give a path that has length 2 times the actual smallest path
Kinda, but not really.
An approximation algorithm is still a computation, and computations are always well-defined
Yea that's what was causing the confusion
even if the approximation uses randomization, that just means that some seed value is a part of your well-define function
The random function, is well-defined because it has a seed input, and the same seed will always give the same output.
approximation algorithms will always represent a well-defined function
Let's look at sorting algorithms
It's domain is all finite lists of numbers and it's range is all ordered lists
And we have various algorithms that compute the function
Where input is mapped to it's own sorted self
The function is well defined
Then we create algorithms for ir
It
But in the case of approximation algorithms, the function is not well defined
How can you define the function
how not?
How will you define the function
However the algorithm is defined
if the algorithm is well-defined, then the underlying function must be well-defined
That's what it is like for most algorithms but it seems not true for approximation algorithms
The definition may be a lot more complex, but it is still well-defimed
Hmm
True actually
Yea you are right
Do you have a specific algorithm in mind? Your vertex cover approximation algorithm, which algorithm are you thinking of exactly?
Yea
The vertex cover algorithm
Nah you are right
We can define the function using the algorithm itself
And since the algo is well defined
So is the function
It's just that the simple nice description of the function we had for the optimal case
np
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happy to help
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is that true?
yes
okay
The bit in the middle is a weird way to present this
is this the linear transformation?
Typically I've just seen this written as (first bit) = (last bit)
alright
For want of a better word, yes
If your mapping is, say, T
And that matrix is, say, M
im not sure what mapping is, is mapping just, i take an input, and output it somewhere?
Then T(v) = Mv is a way to define the linear transformation
and for linear transformations
a geometric way to interpret that would be
i like shift the coordinate system?
and since our vectors
Sorta, yeah
A linear transformation is a function where linear operations on vectors are preserved
im having a really hard time understanding how it shifts at the moment is what i wanted to get at
like
So
If v and w are vectors
and a is a scalar
Then T is a linear transformation precisely when T(v+w) = T(v) + T(w) and whn T(av) = aT(v)
im sorry i cannot follow that
Conveniently that can be condensed into
im gonna try to reread it
T is just a function
If it satisfies T(v+w) = T(v) + T(w) and T(av) = aT(v), we call this T a linear transformation
Such a function on vectors can be made by premultiplying a vector with a matrix
Hence their association with matrices
im sorry im not trying to be difficult but i know i usually end up being difficult, i really appreciate you trying to help
im trying to find a way to put into words how i want help here if it can at all be provided
This actually matches the matrix multiplication you gave
im trying to understand this geometrically because i seriously don't seem to be able to understand math in any other way
The matrix tells you where the unit vectors (1,0) and (0,1) go
right i recently learned of them, they are usually called i hat and j hat?
3Blue1Brown has a good series on this
They can be, yes
im trying to think of this the way he described but right now
im having trouble seeign what is being scaled
so
wait let me try to phrase my confusion
accurately
i read this as "im linearly transforming a 2 row 1 column vector by some funny collection of numbers (i dont understand them yet in any other way)"
then i know of the definition
of multiplying a 2x2 matrix by 2x1 matrix
i dont actually understand why i get that, but i do
now i try to understand why i get this
so im basically scaling my x
the horisontal composant
of this vector
with, another vector?
im scaling with another vector?
right
and i just want to be clear i dont really understand square matrices
i understand somehow that can transform something
or
sorry
i did learn earlier
identity matrix
doesnt really transform
it keeps the thing the same?
By our matrix multiplication deifnition (the first thing you've posted), if we multiply this by a vector (x,y)(col), it tells us that we add x lots of (1,0)(col) with y lots of (0,1)(col)
im effectively multiplying by 1 when im linearly transforming something with the identity matrix
?
ok sry let me read this
this
The Identity matrix is the "multiplying by 1" of matrix multiplication
oh so when you type (x,y)(col), you're writing
x
y
?
yeah
it's just difficult to write that in a textbox lol
yeah
i have
noticed and it has frustrated me
i would use latex but my silly laptop
the like slash
doesnt work
oof
\
yes i cannot type that
"it's too dangerous to go alone - take this with you" ^
is that some kinda dark souls reference? xd
ah alr sry havent played, havent played dark souls neither
It's basically a staple line
i dont understand what you mean by lots
we compute x times the first column (which gives us one vector)
And y times the second column (giving us a second vector)
And then add the two together
the add part i got from the definition, and ok i agree that's what we're doing by the second way you explained now
im with you so far
For the identity matrix, this just results in having the same vector we started with
If instead we looked at
(2 0)
(0 1)
as our matrix
Then by the same token, our result would be x(2,0)(col) + y(0,1)(col)
yeah. well, (x,0)(col)
We'd have (x,0)(col) + (0,y)(col)
but isn't that vector like just smack down on the number line
Basically coordinates except we're allowed to add them
so how is it different from just x, for the identity matrix i mean
Because x is just a number
and a number doesnt have a direction
It's like how there's a difference between the number 5 and the vector (5,0)(col)
im still confused but i cant sense this is not something useful to be confused about
okay so
for the identity matrix
we have got this
(x,0)(col) + (0,y)(col)
and it is different from x + y
i dont totally understand why
but i can accept it
it is the distance from origo
to a point
and i see now
the distance isnt the same as the number
It's...
yeeee
between origo and the point (5, 4)(col)
To compare (5,4)(col) with (x,y)(col), you've got x = 5 and y = 4
Don't wanna rush you @shadow schooner but this seems like a massive message lol
Where I come from linear algebra is learned in 2 stage, first the often unrigorous version of the course playing with vectors in R^2 (plane) and R^3 (space) and an abstract second course defining everything abstractly. imo 3blue1brown is between the 2 and helps a lot to build intuition, but is not a substitute to these two course.
there you go
oh it was a massive message
I just want to give some context
i have been watching 3Blue1Brown's first 2 or 3 videos on this
question is tho is this Linear Algebra in the strict sense or is this HS maths
oh wait it says you're an undergrad
yes I am somehow undergrad
I can go full lin alg on this shet
bro bro dont
lesgo
talk to me like im 5 years old
where's that other matrix I wrote...
and i have not finished HS
Ah here it is
like i can find the determinant of a 4x4 square matrix but i dont understand this yet
someone taught me a method
it was easy to memorise
but i want to stop memorising
Let's see what happens if we multiply this matrix to (x,y)(col)
and understand
where this shti comes from
i am so tired
of just memorising
nonsense
i want to understand
you know the jungle book?
when that monkey sings about
wanting to be a man
i want to be able to understand this stuff
right now im just memorsing and it isnt fun
i have failed to understand the notation
now im tryign to understand geometrically
and i feel like i have a better idea of what is going on since i started doing that
Can you see how if we multiply that matrix to that vector, how we get to (2x, y)(col)?
i dont see it but with the definition i can get there
By "see" I do mean by using the definition dw
ok my goal is to see it see it
I'm not expecting you to immediately see this lol
and np i dont expect to either i just need help getting to the point where i start seeing it
like
this could take weeks
yeah we have to agree on definitions then interpreting this geometrically is bonus.
longer maybe
i had the determinant
explained to me geometrically
and that was nice
i still remember most of it
i can still see
most of it
Let's try then the following
Let's take a generic 2x2 matrix (such as the one in the definition)
ok
What do I get if I muliply this to the vector (1,0)(col)?
i get (a, c)(col)
yeee
and that's it i think
Notice how that's also just the first column of the matrix?
i have to admit i didnt understand the basis vectors very well
in uni i was introduced to them as the |1|
Well there's one
Ah
at least during the first 3 videos
A key property of a basis vector is that it has length 1
I think that's what you're on about
maybe, like
i get that
they dont change the vector (i think) other than direction
but in 3Blues video
i wasnt able to understand
what they were used for
they seemed important
Ah
he literally called them
"two very special vectors"
not just special
very special
They technically are
I'll do the 1-D case cos it's simpler (even if a little dull)
the number 1 is our basis "vector" here
i like 1-D
Because every other number we can make just by it being some multiple of 1
hehehehe
e.g. 35258 is 35258 times this basis vector
but it is so counterintuitive for me to understand
because multiplying by 1
changes nothing
yeee
2-D is where it gets a little more fun
Suppose instead I want to describe the vector (14,5)
and i agree with this
(gonna skip using (col) all the time just for this)
ok i will assume col
the idea is to represent any element in R^2 as as sum of 2 vector stretched by adequate scaling factors
I could probably do something similar - but I can't use "1" on its own because there's no vector called 1
It'd help if I had a vector of size 1 though
Well, let's see - ik (1,0) has size 1
Could I multiply this by anything to get to (14,5)...?
no
yes
There's no up-ness here
i agree
So while (1,0) is perhaps a useful basis vector (cos I could get the 14 bit there) I can't only use this vector
Well by the same logic, (0,1) is also a vector of size 1
we need to add a dimension
yeeeeeee
Now - I have two vectors to play with
How many multiples of (1,0), and of (0,1), will I need for (14,5)?
14 of i-hat and 5 of j-hat
yep
Now it turns out that if I want to get to any vector (x,y) I just need x lots of i and y lots of j
okay that's nice
btw formally the dimension is defined as the number of vector you need to decompose any vector in your space R^2, R^3, R^n in a unique way.
that's what you meant by lots
im sorry but that is really hard for me to understand
So these two vectors - (1,0) = i-hat and (0,1) = j-hat - form a "basis" to get to any vector
im 5 years old
OKAY
that's nice
now that feels
nice because now they have a reason
to be called basis vectors
That's what we mean by basis vectors
Similarly, we say that vectors form a basis in a space if, by the method we've gone through, we can use these vectors to make any vector in that space
i.e. add a bunch of them together
they allow you to write any vector in R^2 as a a * i-hat + b * j-hat in a unique way
and i want its determinant
if the determinant isnt 0
i can make any vector
and that's why we have a bunch of solutions there
So, a 4x4 matrix is helpful with regards to a 4-D vector
dw about actually thinking in 4 spatial dimensions
Just think of it as "there's just 4 coordinates"
So (1,2,4,6) is a 4D vector
In the 2x2 case - we've basically got down to "the first column tells us where i-hat goes and the second column tells us where j-hat goes"
This extends upwards by dimension
wait
let me think about that
because i didnt make that connection yet
im just writing down my thought process
that we have two basis vectors that
if scaled
can give us any vector
we would like
tha tis
2d
for i-hat and j-hat only
i know there is k-hat but
whatever
yeah ok im still
right so
1, 0
0, 1
the identity matrix
or 2x2 case
for i-hat and j-hat?
is that the same thing?
same to what?
yep
they stay where they are
This matrix specifically doesn't really move those vectors, so we call this the identity matrix
okay
now we have those
and
we can scale them with a number a to get a point a for the respective variable that the column takes care of
a, b
like
i suck at explaining
in math
So if I have the matrix
(a,b)
(c, d)
the first column tells me my i-hat will move to (a,c)(col)
like the first column was i-hat, conventionally horisontal
so in my mind, that takes care of x
And my j-hat, from the second column, becomes (b,d)(col)
i will read from here
This is a shitty chat-up line, btw, do not use
maybe a more concrete example what do you think this matrix / linear map one does geometrically
so
my first impression
If it helps, where're you from if I can ask?
was that this is the inverted identity matrix
but that is probably not true
and the only reason i thought that was for meta reasons
sweden
im from sweden
but ok
so i-hat and j-hat
you know
like you can kind of think about them, i guess
from the previous discussion the colum of the matrix are where (1,0) and (0,1) are sent by the transformation
a square matrix
that just says
my vector remains the same
so
now to the scary part for me
if i have
well according to wiktionary the closest meaning to "chat-up line" = "pick-up line" is "raggningsreplik" (not that that's remotely the point 🤣)
yee
i could see that too so dont worry
yeah i didnt do anything
to j-hat
So that matrix essentially stretches the coordinate grid by 2 along the x-axis
yeeee
Try this matrix now
(pinging is fun /s)
i will try that matrix
since yo uasked me to
oof
mm
i dont like that
i dont really understand what is going on
Draw the vectors out
Only draw what i becomes and what j becomes
So step 1 - what does i become
?
yeee it's vertical
bro
pointing up
What does j become?
😦
your label for j is on the wrong side
no
It's pointing left now, so it should be on the left
that's positive j
Ah
so it is going negative j
no
yeah
i = (1,0)(col) - i.e. 1 along the x-axis
with the formula compute where (2,2) gets sent could be nice maybe
oh no
If you swap the labels for i and j here then you're fine
it’s ine way to do that computation
this one would be most left
(if it helps - it's the same as multiplying by 1)
(i.e. it doesn't change the matrix at all)
yes but
i dont understand
2x2 matrices
so
i dont understand this
i dont understand what the hell
this means
the identity mtrix
matrix*
is nice
but we want you to see geometrically how a matrix can be viewed as a function that takes in vectors and spits out vectors