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01:22
That proof of the Change of Variables Theorem tho...................😱😱🤯🤯
First section in your book Ted that has me utterly perplexed....
Will definitely need to watch these lectures intensely..
Yup. Very technical. Lebesgue integral wins. Watch the viseo for the strategic summary.
Any reason why you didn't mention the idea of determinant telling us the factor by which linear maps distort signed volume? I had watched the determinant vids, but you didn't talk about it, but it is mentioned in the intro paragraph of the next section.
Maybe I could come back to it after I do section 6 and it will be a clearer idea then.
No, that’s in the det section. The issue with COV is that the integral is based on rectangles, not random shapes.
My advice: Don’t worry about the COV proof.
I'm not right now.....I usually do a general read of the section to get the concepts down, then read it a second time trying to do the proofs of theorems.....But COV will wait for another day when I'm done the book....
I was looking at the discussion of these concepts in the textbook my school uses and what I used when I first did it..........set up for failure...
nobody would be prepared to address these concepts based on the level of pre-reqs for the course.
 
2 hours later…
04:00
Does anyone know of some papers which talk about rephrasing quantum theory in terms of the language of category theory and if this field of work is still active? I have found a number of papers around ~2010, but not so many of recently
@TedShifrin Alright, maybe I got a little carried away. I was surprised by how Guass-Bonnet appears in the post I linked above.
something like the series of papers written by döering on topos inspirehep.net/authors/1218106
The quantum thing I heard in math is quantum topology, even though I don't know any of them
@robjohn a 30% under exaggerated under belly is better than an over exaggerated pot belly.
@user4539917 pigs or stoves?
04:12
Stoves.
We found and helped a group of people get a grown pot belly pig home. It was really a hog, very big.
It required a group, as it was large and had a mind of its own.
Interesting, a quick search shows that the commonly used word is "pot-bellied."
pig
TIL
8
Q: A Riemann surface $X$ is hyperelliptic iff there is a holomorphic involution of $X$ that has exactly $2g(X)-2$ fixed points

gisameI’d like to show that a Riemann surface $X$ is hyperelliptic iff there is a holomorphic involution $\tau : X \rightarrow X$ such that $\tau$ has exactly $2g-2$ fixed points, where $g$ is the genus of $X$. (I’m working with the following definition of a hyperelliptic Riemann surface: $X$ is hypere...

Interesting. I know the same result for $2g+2$ fixed points
05:11
@onepotatotwopotato Yeah, it’s wrong. Just try $g=1$.
So I have a continuous f: S^1--> C which is such that f(z)= f($\bar z$). Can we extend it analytically to the unit disk?
I define $g(z)= f(z)-f(\bar z)$.
g=0 on S^1 so can be extended to the unit disk as a zero function.
but that seems not relevant to answer this.
If f is constant then we can extend it. So suppose that f is not constant and say that f is the desired extension of f to the unit disk.
I define: F:C-->C as follows: $F(z)=\begin{cases}f(z), z \in cl D\\ f(1/\bar z), z\in C- D\end{cases}$
they agree at the boundary. But the second piece looks like not holom.
@TedShifrin Can I understand branched covering map as a covering map with fixed points?
To remedy it, I take conjugate of $f(1/\bar z)$ but then the agreement at the boundary will be gone.
any ideas?
answer from chat gpt :-).
the extension is not possible in general.
05:31
koro: your recipe for "F" doesn't make sense if f is only given on the circle. note that cauchy's integral formula tells you what the analytic extension would have to be.
and e.g. the formula for laurent series coefficients tells you a bunch of integrals that will have to be 0, if there is to be such an extension.
Re(z) is not analytic function
maybe explore what can happen in a nonconstant example, e.g. f(z) = z for z in the upper half of the unit circle and f(z) = 1/z on the lower half of the unit circle.
and as a side note, you seem inordinately obsessed with this. there's a lot of nontrivial analytic function theory relating to taking stuff inside the disc/circle and extending it beyond the disc and vice versa, and if nobody is asking you to do this, it's OK to move on.
come back later, if at all. a lot of people do complex analysis in ten million different directions, and don't get into exotic function spaces, even on the circle or unit disc.
@leslietownes Yes this with identity theorem will give contradiction
maybe. it wasn't clear from koro's initial question if he wants the extension to be analytic on the open unit disc only, or on all of the closed unit disc. there are a bunch of restrictions that immediately pop up if he meant the latter (e.g. relating to continuous functions not necessarily even being differentiable), so i assumed that he didn't. but yes.
"just write down [a formula] that extends it" works a ton of the time in specific examples, but certainly not in this case, with an arbitrary continuous function as input data
@leslietownes cool!!
05:42
or an arbitrary continuous function on the upper half of the circle. the symmetry condition there isn't much of a restriction, for purposes of providing enough structure to make the analyticity work out.
Thanks a lot. I'll think about this one. The solution seems not far from here.
@onepotatotwopotato we need only continuity at the boundary.
Then gpt's usage of identity theorem is wrong. It assumes analytic on $\overline{\Bbb D}$. And also, derivation of contradiction is weird. It doesn't contradict anything
that part is messy. But I think the example Re z is correct.
Though, it's not what I wanted. I know already (from our earlier discussions) that if f is real valued, then the extension is not possible if f is non constant on the boundary.
@onepotatotwopotato because it satisfies the boundary condition.
05:52
@Koro where does this come from?
by MMT on imaginary part f.
Oh maximum principle on harmonic function. That's cool
I was very confused earlier as you seemed to be suggesting otherwise and also the comments on my post.
That's probably I misstated the question as one of the comments to my post also said.
I used the words 'Schwarz's lemma' etc. for my question but they have a different meaning in complex analysis, i.e., "Schwarz's lemma'' is reserved for a result.
What are the sufficient conditions needed to confirm that something is a dirac delta, though i don't have a closed form for it
06:09
Actually it should be maximum and minimum principle of harmonic function.
It's not modulus princinple
yes yes :-).
@leslietownes I think it worked :-).
Suppose the extension exists, then $f(z)= f(0)+ \sum_{k\ge 1} a_k z^k$, power series about $0$.
$2\pi ia_k: = \int_{\partial D} f(u)/u^{k+1} du= i\int_0^{2\pi} f(e^{i\theta})/e^{ki\theta}d\theta$
@Koro Maybe it's more suitable for the case $f:\Bbb S^1\to\Bbb S^1$. Not to $\Bbb R$. I was confused.
Yes makes sense only for that case.
RHS = $i\int_{-2\pi}^0 f(e^{-i\theta}e^{ki\theta}d\theta= i\int_{0}^{2\pi} f(e^{-i\theta}e^{ki\theta}d\theta= \int_{\partial D} f(z) z^{k-1} dz$
So $a_k=0$ for all $k\ge 1$.
So f(z)= constant.
@leslietownes Thanks a lot. This is such an amazing idea.
I bet that's how Cauchy or Gauss would have done it.
06:24
But anyway the reflection principle for unit cirlce can be obtained using explicit conformal maps in that case I think
As Leslie mentioned earlier, the question is not clear as 'the extension' means holomorphic on the boundary also apart from the disk or only holo. within the disk.
I assume the former to apply Cauchy integral formula.
Is Cauchy's integral formula valid if f is holomorphic on closure D?
Can I choose the radius to be equal to 1?
(f is not even defined outside closure D.)
because the statement usually says: f is holo. on a domain containing closure of the unit disk.
what is the meaning of such f to be holo. on boundary of D?
the obvious meaning just as we have in case of left and right limits?
If the extension meant the latter, then I think that any hol. extension will do.
*any entire function
That is, suppose that f is holomorphic on closure D, then for any z in D, we have $f(z)=\int_{\partial D} f(u)/(u-z) du$. Is this true?
Looking at the proof of Cauchy's integral formula, I think that the answer is in affirmative.
Is my understanding correct? Thanks.
07:02
Given two topologically equivalent Riemann surfaces, find necessary and sufficient conditions for them to be conformally equivalent
 
2 hours later…
09:14
A book says the curvature $K$ of a metric $\lambda(z)|dz|$ on a simply connected Riemann surface is given by
$$K = -{\Delta\log\lambda\over\lambda^2}.$$
What is the curvature here? (e.g. sectional curvature)
I remember there are several curvatures in Riemannian geometry
 
1 hour later…
10:22
Let the Dirichlet inverse of the Euler totient function be a[n]:
a[n_] := Total[MoebiusMu[Divisors[n]]*Divisors[n]]

Then the following by Cesaro summation holds:
-2*a[n]=Sum[a[GCD[n, k]], {k, 1, Infinity}]

Is that enough to say that the primes are self-referential?
@leslietownes clarity to it: the extension is holomorphic on the unit disk (open) and continuous on closure of the disk.
I tried to write a solution to it. I'll post it soon on mse.
0
Q: Can this given $f: S^1\to \mathbb C$ be extended to a continuous $F: \overline{\mathbb D}\to \mathbb C, F$ is holomorphic on $\mathbb D$?

KoroSuppose that $f: \mathbb S^1\to \mathbb C$ is continuous such that $f(z)=f(\bar z)$ for all $z\in \mathbb S^1$. Can it be extended to a continuous $F: \overline{\mathbb D}\to \mathbb C$such that $ F$ is holomorphic on $\mathbb D$? If $f$ is constant, then the result is obviously true. So suppose ...

11:12
The above should have been:
a[n]=-2*Sum[a[GCD[n, k]], {k, 1, Infinity}]
by Cesaro summation.
VLC
VLC
11:44
Can somebody tell me why is this so:
$\lim_{x\rightarrow 0} x* \sin(1/x) * cosh(1/x) = undefinde $
@VLC Limit[x*Sin[x], x -> Infinity] gives the same result, in Mathematica.
As wells as: Limit[Sin[1/x]*Cosh[1/x], x -> 0]
Limit[Sin[1/x], x -> 0] = Interval[{-1, 1}]

Limit[Cosh[1/x], x -> 0] = Infinity
Limit[Sin[1/x]*Cosh[1/x], x -> 0] = Interval[{-\[Infinity], \[Infinity]}]
Interval[{-[Infinity], [Infinity]}] = Interval[{-1, 1}]*Infinity
@VLC for comparison
4
A: A certain “harmonic” sum

Mats GranvikIn the language of Dirichlet series and the Riemann zeta function I believe this could be counted as an elementary proof: Add the variable $s$ as an exponent to your series so that it becomes: $$\sum_{n=0}^\infty\left(\frac{1}{(6n+1)^s}+\frac{-1}{(6n+2)^s}+\frac{-2}{(6n+3)^s}+\frac{-1}{(6n+4)^s...

$$\lim_{s\to 1} \, \zeta(s)\left(1-\frac{1}{2^{s-1}}\right)\left(1-\frac{1}{3^{s-1}}\right)=\log(2) \cdot 0 = 0$$
Interval[] can be generated by functions such as Limit[].
12:24
Series[Cosh[x], {x, 0, 12}]== 1 + x^2/2 + x^4/24 + ... Which grows faster than x in your limit.
12:54
$$x^{\log (c)}-x^{\log (2 c)}+x^{\log (3 c)}-x^{\log (4 c)}+x^{\log (5 c)}-x^{\log (6 c)}...=0$$
$$c\geq \frac{\Im(\rho _1)}{\pi }$$
$$x=\exp \left(-\frac{\rho _1}{c}\right)$$
On the number of prime numbers less than a given quantity. <=> On the number of exponentiated negated Riemann zeta zeros divided by c, divided by pi, below a given constant c.
@MatsGranvik Roots of monic polynomials?
@XanderHenderson Yes, roots of low coefficient polynomials and logarithms thereof.
Paul Nylanders program.
I'm not familiar with Paul Nylander. Though I've written code to do the same thing.
(* start program by Paul Nylander *)
(*Taking the logarithm of the roots yields a vertical \
version:*)(*runtime:34 seconds*)
n = 12;
m = 275;
image = Table[0.0, {m}, {m}];
Do[Do[z =
N[Log[I*Root[
Sum[(2 Mod[Floor[(t - 1)/2^i], 2] - 1) #^(n - i), {i, 0, n}],
root]]];
{j, i} = Round[m ({Re[z], Im[z]}/1.5 + 1)/2];
If[0 < i <= m && 0 < j <= m, image[[i, j]]++], {root, 1, n}], {t,
1, 2^n}];
ListDensityPlot[image, Mesh -> False, Frame -> False,
PlotRange -> {0, 4}]
(*end*)
(* With the change: Log[Root[]] and Log[I*Root[]] instead of Root[] *)
Somewhere in the vertical versions there are the approximations of the Riemann zeta zeros modulo Pi.
 
2 hours later…
VLC
VLC
15:13
Can somebody tell me how should I go with solving the following problem:

We have a laplace equation $u_xx + u_yy = 0$ with boundaries $u(0,y) = \epsilon \sin(y/\epsilon)$, where $x$ lies in positive real numbers with zero and $y$ lies in all real numbers.
So as far as I read, should I just use the separation of variables technique ?
 
2 hours later…
17:42
@PM2Ring I’m talking about where x is a variable, not a non-integer.
18:25
@PlaceReporter99 Ok. Have fun with that. ;) I think there's some mention of that sort of thing on the Wikipedia page I linked, but I know almost nothing about fractional calculus.
@PlaceReporter99 BTW, I've been investigating various approximate solutions for $0\le x\le1$ in $x/y=x^x$, given $0\le y\le1$.
18:46
I have a question. Can a curve be simultaneously algebraic in $A$ and $B$ with $A \simeq B?$
but $A$ and $B$ are not isometric
I would say "NO WAY"
19:33
hello everyone
I got a quick question about probability
I'm getting interested in non $C^\infty$ manifolds. Given a derivation on $C^k$ functions, why can't it act on a $C^h, 0<h<k$ germ? Being a 1st order operator, wouldn't it make it a $C^{h-1}$ function?
I ask that because I'm trying to understand why the tangent space construction as a space derivations fails
20:05
There are various ways to answer that. First, the space of derivations is infinite-dimensional. Second, the usual trick of writing a smooth function as $f(x)-f(0) = \sum x_i g_i(xj$ with $g_i$ smooth messes you up with $C^k$.
@onepotatotwopotato How does this make sense?
@TedShifrin I'm making a booboo in showing that the derivative of a linear map is istself. Just working with the difference quotient:

$\frac{T(a + h) - T(a) - T(a)h}{\|h\|} = \frac{T(h) - T(a)h}{\|h\|}$
What should I be doing to get my numerator to be zero? I am mistating something but can't figure out what. I looked at a few answers on MSE, but I wanted to do it the "textbook" way
20:23
WTH does $T(a)h$ mean?
$T$ is my "candidate" for the linear map. So to be differentiable at a point $a$ means there is a linear map $Df(a)$. In this case $Df(a) = $(a)$, plus the rest of the difference quptient stuff
The full definition being a function $f$ is differentiable at $a$ if there is a linear map $Df(a): \mathbb{R}^n \to \mathbb{R}^m$: so that $\lim_h \to 0 \frac{f(a + h) - f(a) - Df(a)h}{\|h\|} = 0$
I asked a simple question, so answer it.
@TedShifrin regarding the second point, does there exist a specific counter example to see in what sense it fails?
20:29
Oh....I thought you were confused about my notation
dc3: ted understands what you're talking about, but is checking to see if you understand what you're talking about :) i think the game he is playing is that if you can explain it to him, your confusion will vanish
that goofy, wacky ted
@Mr.Feynman If $f$ is $C^k$, what are the $g_i$?
Picked up on that... and I am actually working on it myself
Were the ducks happy to see Munchkin?
@D.C.theIII Yes, so what does it mean?
ted: yes, we were visited in the pool by two ducks
20:32
Applying the linear map at the vector $a$ in the direction of $h$
Wait, ducks come into a public swimming pool? I figured you were swimming in their pond/lake.
@D.C.theIII what does that even mean?
$T\colon \Bbb R^n\to \Bbb R^m$.
@TedShifrin They are $C^{k-1}$, so in this sense they don't belong to $C^k$ where our derivation acts.
Right. That’s a real problem.
I'll make a stupid example (in very plain language) to make clear what I don't understand about it. Consider $\partial/\partial x^i$ acting on $C^k$ germs, then I can also consider a "copy" $\partial/\partial x^i$ of it acting on $C^{k-1}$ germs. In this sense it is also a $C^{k-1}$ derivation. If the above is a problem, does that mean that there are derivations in $C^k$ such that there is no corresponding derivation in $C^{k-1}$?
Well, do the case $k=1$ ….
20:43
I'm late, but $T(a)h$ is the equation of the plane
@TedShifrin That is a problem because I end up with functions that aren't necessarily differentiable. As long as $k>1$, since derivations are first order operators, I don't see what fails
This is not going well, DC. It’s not an equation of anything.
oh dear...
ted: it's a private pool that very few people use, so it functions as a pond. the ducks don't seem to mind us, sometimes they land in it while we're using it.
Well, there are lots of derivations that are not your simple one, so your obvious game fails.
Very cool, leslie.
Take a $3\times 2$ matrix and tell me how to compute your thingy. @D.C.
20:47
thingy being my "supposed" $T(a)h$?
@TedShifrin I think my case also applies to any other $C^\infty$ derivation, so the "anomalous" ones arise for finite $k$
I do not follow.
I mean that my example above should also work for any derivation of the form $\sum_i a_i\partial_i$,
20:52
So what?
I should clarify, my $3 \times 2 $ matrix is my linear map?
The fact that $C^1$ fails miserably puts an end to it. And you are only talking about a f.d. Set of derivations.
and go about the whole difference quotient derivation?
Yes, it’s your $T$. Tell me what $T(a)h$ is.
20:54
$a$ and $h$ are vectors where?
give me a sec
@TedShifrin Oh sure, I'm not arguing about $C^1$. From the beginning I wondered why this would happen for $C^k, k>1$ (what does f.d. stand for?)
Finite-dimensionsl
You don’t begin to understand what derivations look like when we’re not in the smooth world. That lemma is what allows us to understand the smooth case.
Oh, right. I can't say that for $C^k$ derivations that are infinite dimensional
Right.
Not unless you can compare the $k$ and $k-1$ cases.
20:59
And I don't know how to do that (at least in general)
I think I have clarified the problem. I have been doing circular reasoning: thinking of those "simple" derivations $a^i\partial_i$ but what allowed me to do that in the inf. dim. was the lemma we talked about. I can't use this consequence of the lemma to prove the lemma (i.e. recklessly say that I can apply a $C^k$ derivation to a $C^{k-1}$ germ)
I would agree.
21:15
$$\left(\begin{matrix} m_{11} & m_{12} \\ m_{21} & m_{22} \\ m_{31} & m_{32} \end{matrix} \right) \left(\begin{matrix} a_1 \\ a_2 \end{matrix} \right) \left( \begin{matrix} h_1 \\ h_2 \end{matrix} \right)$$
had to take a quick bathroom break then type this. So this would be $T(a)h$, now $Ma$ will be a vector
dc: the "(a)" in Df(a) is a label telling you what point you're considering Df at. of course Df(a) is also a linear map and hence takes a vector as an argument. but this aspect of the "(a)" notation isn't too compatible with actually writing out what a is when you're applying Df(a) to a given h
but I am not in the place where I could consider the two vectors to have a product of $(Ma)^t h$ right?
all of this being made more confusing by what Df actually is in the linear case
sigh
You said the key thing in "applying Df(a) to a given h"....
in particular, the components of a in "Df(a)" are not something with a role in the kind of matrix-vector product you might write down for "Df(a) h"
21:21
I kind of get what your saying broadly, but I am confused by it....
i don't think it's a good idea to signal the potential dependence of Df(a) on the point a by writing out the components of a in the middle of expression involving Df(a) or Df(a) applied to something else
How are you multiplying a 3-vector by a 2-vector?
so up above, i would scrub out the column vector "a" between the 3x2 matrix (presumably representing Df at the point you're fixing, which you might be calling a) and the vector h
just understand that for general f, the 3x2 matrix Df(a) has entries that depend on a
Leslie’s point is: Think back to how you worked with $a$ when you typically found the matrix $Df(a)$.
I was doing that right now, thinking about it. I should've put some ellipses to show me contemplating
so you guy's know I'm not wasting your time
21:26
for example if f(x) = x^2 in calc 1, and i evaluate f' at for example at a = 3 i get that f'(3) = 2*3 = 6. but i wouldn't write this as 6(3), even though 6 definitely is what f' is when evaluated at 3, and even though in general, what f' is would depend on what point i'm evaluating it at
i don't need to expressly note the dependence on my choice of a by writing the value of a next to what the derivative is
@leslie I no longer have any hair left.
Sorry to stress you so much sir.
Ok I do have a better idea of what you guys were talking about. Just going to need a minute to really reconcile the notion
it's a problem of juxtaposition being used to denote both "evaluation at" in general, and also, with linear maps, that's matrix multiplication with the thing you're evaluating at
in something like Df(a)(h), the juxtaposition of Df with (a) means "Df evaluated at a" [which is not, in general, a product of some matrix, on the one hand, and the column vector a, on the other - in particular, Df(a) has type "matrix" and not type "vector"], while the juxtaposition of Df(a) with (h) means both evaluation of the linear map Df(a) at h, and a matrix-vector multiplication of the matrix Df(a) with the column vector h
the way you summed it up is what I aspire to be able to do
it looks like maybe sometimes your book up above is trying to keep this a little separate by not putting "evaluation at" in parentheses when doing matrix multiplication. they write Df(a)h and not Df(a)(h)
but i wouldn't count on other books to do the same
21:36
I typically wrote $Ah$ for matrix product, as opposed to $T(h)$ for the value of a linear function.
well at least I have a better comprehension of this now so when I do encounter it again in higher courses
@TedShifrin Right. It was me using $T$ and not thinking about it as a matrix in the derivative form that messed things up......but it was a good learning lesson
Well, we do say that a linear map is its own derivative at any point .
Parse the sentence carefully.
It's how I ended up here. Needed to parse more finely than I did....now I can get back to your lectures.
22:21
heh, i checked to see how rudin handles this, and he includes two sentences by way of exposition that he does not include for other complicated stuff.
those sentences below the equation display (19), haha. he never says stuff like that, but puts it there. basically for the reasons discussed above, dc3.
Of course with the "simple" attached before stating things.
@PM2Ring could you help me plot the gram series in sage? I tried looking up documentation but couldn't figure out the double series aspect of this function. mathworld.wolfram.com/GramSeries.html
So I do remember that the derivative operator is a linear map.....so we are applying the "linear map" (derivative operator) onto an object which in this case is a linear map from the set of linear maps.
What could possibly be the best linear approximation to $T$ (at any point)?
In terms of "logically" thinking about it "the best linear approximation to a linear approximation $T$ would be a linear approximation by $T$"
22:34
Too many approximations in that sentence.
the n = m = 1 case is sort of illuminating because at least the calculations are clear, maybe but also sort of confusing because the mental scaffolding around the idea is different. it's maybe not very calc 1 to think of numbers both as numbers and as linear maps on a one-dimensional vector space (6 vs. "multiplication by 6"). also thinking of the thing that plays the role of "h" as an argument is maybe not very calc 1, depending on how/whether you cover differentials.
but at the galaxy brain level this is no different from thinking of a matrix as a matrix and also as a linear map
Well differentials will be covered in Ted's book in chap 8.
[insert animated image of humanoid figure in the galaxy surrounded by glowing beams of light]
The idea of the derivative being a linear map was covered in FSL's Linear Algebra, but not in any detail.
That’s in the context of the derivative on the vector space of polynomials, etc.
22:38
Yes.
Not what we’re talking about.
Funny I was just going to write that
because I am here reflecting and it was never talked about over $L(V,W)$

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