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4:14 AM
Diff geo is much harder than I first thought
 
4:39 AM
@Thorgott I never fought with him. Your prof is wrong.
By the way, just wondering, what is the most starred message in tgis room?
No nlab November?
It got 11 stars
 
123
Hi All...
 
5:20 AM
How can I show that there is no complete surface of revolution with $K=-1$ where K is a Gaussian curvature
 
That is a deep theorem of Hilbert @love_sodam.
Oh, of revolution. Missed that. Just write down the ODE and it's straight-forward.
 
5:38 AM
Hey!
 
@TedShifrin Yes this book comment that fact. Anyway I used the ODE and find conditions for $x(t)$ and $z'(t)$ if we denote $t\mapsto (x(t),0,z(t))$ be a generating curve. But couldn't conclude it's not complete
 
What is known about the sum $\sum_{r\ge2}\frac{\zeta(r)}{r^2}?
It converges to approximately 0.831
Is there a closed form?
 
The meridians are geodesics, but they are only defined for $t$ in a finite interval.
 
Can $v \cdot \nabla_u \frac{u}{\|u\|_2}$ be simplified?
 
@TedShifrin Oh, right. Thanks
 
5:55 AM
I'm getting something like $\frac{I - \hat{u} \otimes \hat{u}}{\|u\|_2}$.
 
@love_sodam You're welcome.
 
oh sorry... I meant the sum $$\sum_{r\ge2}\frac{\zeta(r)}{r^2}$$
was on my phone that time so I couldn't notice
I turned that sum to $$\sum_{k\ge 1}\frac{k\mathrm{Li}_2(1/k)-1}{k}$$
where Li is polylogarithm
 
6:28 AM
I further turned this to $$\lim_{n\to\infty}-H_n+\int_{0}^{\infty}te^{-t}\psi(n-e^{-t}+1)dt-\int_{0}^{\infty}te^{-t}\psi(1-e^{-t})dt$$
This looks a bit hard to handle, but I have smth in my mind
 
6:48 AM
Now I need just one help
How can I evaluate $$\int_{0}^{\infty}\frac{t}{e^t}\psi(1-e^{-t})dt$$
 
7:06 AM
0
Q: Evaluating the sum $\sum_{r\ge2}\frac{\zeta(r)}{r^2}$

Leonhard EulerNote:This is the same question, but it doesn't answer my question, the answer doesn't give a closed form. In fact, the answer is not accepted. Moreover, I don't think that a 9 month old inactive question would get answers. I have been working on various sums involving the zeta function (which co...

Here it is
 
 
2 hours later…
8:45 AM
hi
 
9:04 AM
hi @mathguy :-)
 
9:55 AM
What's an example of a decreasing sequence of nonempty sets with empty intersection?
 
10:05 AM
@Astyx Let the nth set be $S_n$
Then a possible answer is $S_n=[n,\infty)$
 
Oh yeah that works
thanks
 
I myself constructed a very complicated one (involving factors, prime numbers, etc.) but I forgot that
@Astyx np
 
 
1 hour later…
11:19 AM
2
Q: Is there anything that ensures that convolutional filters end up the same?

mark markI trained a simple model to recognize handwritten numbers from the mnist dataset. Here it is: model = Sequential([ Conv2D(filters=1, kernel_size=(3,1), padding='valid', strides=1, input_shape=(28, 28, 1)), Flatten(), Dense(10, activation='softmax')]) I experimented with varying the n...

 
 
1 hour later…
12:36 PM
How can I derive the Weierstrass product formula for the gamma function?
 
 
2 hours later…
2:57 PM
@feynhat Did you write to Alok?
 
 
1 hour later…
4:23 PM
In the complex plane, why do mathematicians talk about radius of convergence? Shouldn't one rather call it Voronoi cell of convergence?
 
I understand what you mean but why stop at a convex domain? Extend wherever you can extend
 
So radius is better?
 
Then you get a domain of holomorphy where an analytic continuation is defined.
I am not claiming anything is better. I'm curious why you want a convex cell.
 
Hello!! Could someone check if the geometric interpretations I give at the below post are correct?
0
Q: Geometric interpretations of the sets U+W

Mary StarGive the geometric interpretation of the sets $U+W$ : We consider the sets \begin{equation*}U=\mathbb{R}\begin{pmatrix}1\\ 0 \\ 0\end{pmatrix}=\left \{\begin{pmatrix}\lambda \\ 0 \\ 0\end{pmatrix}:\lambda \in \mathbb{R}\right \} \ \text{ und } \ W=\mathbb{R}\begin{pmatrix}0\\ 1 \\ 0\end{pmatrix}...

 
5:01 PM
hey chat. could anyone give a valid reason to define nondegenerate pairings this way?
my definition of (left) non-degenerate pairing $\phi\colon V\otimes W \to \mathbb{k}$ is a map such that the map $$\begin{align} V &\to W^*\\ v &\mapsto (w \mapsto \phi(v,w)) \end{align}$$ is injective (so the only vector in $V$ that is orthogonal to every other vector is $0_V$)
 
5:40 PM
Hi math lovers.
Hi @TedShifrin
I want to know that: is that possible to recover pairs of points on an arbitrary Jordan curve just by knowing their image on Mobius strip? I know that this is possible for pairs of points on a circle but in general I am not sure.
 
6:34 PM
Let $a,c\in M_n(\mathbb{R})$, such that $ac=1_{\mathbb{R}^{n\times n}}$.
I have shown that $\text{Image}(a)=\mathbb{R}^n$ and $\text{Ker}(c)=0_{\mathbb{R}^n}$.
I want to show that $\text{Image}(c)=\mathbb{R}^n$. How could we do that?

Since the kernel is zero, this means that the matrix is invertible, right? Do we use that?
 
 
1 hour later…
7:54 PM
@MaryStar show that $\dim {\cal R} ac \le \dim {\cal R} c$.
 
8:04 PM
@copper.hat By "$\cal R$" you mean the image, right? Do we use the fact that the dimension of the image plus the dimension of the kernel must be the dimension of $\mathbb{R}^n$, i.e. $n$ ?
 
Just use nullity-rank in the first place, yes.
 
Ah ok! It holds that $\text{Im}(a)\subseteq \mathbb{R}^n$ and since $\dim (\text{Im}(c))+\dim (\text{Ker}(c))=n \Rightarrow \dim (\text{Im}(c))+0=n \Rightarrow \dim (\text{Im}(c))=n$ it follows that $\text{Im}(a)= \mathbb{R}^n$, right? @TedShifrin
 
8:20 PM
You mean image of $c$ everywhere? You don't need to use $a$ except to deduce that $\ker c = \{0\}$.
The point is that in finite dimensions, you should end up proving that if a matrix has a left inverse, then that left inverse is indeed a true inverse. This is false in infinite dimensions.
 
Oh there is a typo, I mean "c" everywhere, not "a". So it should be :

It holds that $\text{Im}(c)\subseteq \mathbb{R}^n$ and since $\dim (\text{Im}(c))+\dim (\text{Ker}(c))=n \Rightarrow \dim (\text{Im}(c))+0=n \Rightarrow \dim (\text{Im}(c))=n$ it follows that $\text{Im}(c)= \mathbb{R}^n$.
 
@MaryStar try to develop some intuition. if the range of $c$ is not full it must be a subspace of dimension $<n$. if you apply $a$ to that strict subspace the corresponding range cannot have larger dimension, so it too must be $<n$.
 
@copper.hat But since the kernel is zero, it must be of full range, or not?
 
@MaryStar for a square matrix, yes. that is the big deal.
 
@copper.hat Isn't $M_n(\mathbb{R})$ the set of square matrix with dimension $n$ ?
 
8:41 PM
Now I am looking at the reserse direction. Let $a\in M_n(\mathbb{R})$ such that $\text{Im}(a)= \mathbb{R}^n$. Show that there is a $c\in M_n(\mathbb{R})$ such that $ac=1_{\mathbb{R}^{n\times n}}$.

There is also a hint: Let $(e_1, \ldots , e_n)$ be the standard basis of $\mathbb{R}^n$ and let $v_i\in \mathbb{R}^n$ such that $av_i=e_i$. Consider the matrix $(v_1 \mid \ldots \mid v_n)$.

We have that $\text{Im}(a)=\{a\cdot x\mid x\in \mathbb{R}^n\}$. So according to the hint this $ax$ must be each column of the identity matrix, right?
 
TIL that cooked food is often more energy dense than raw
 
9:08 PM
@MaryStar Since $a v_i = e_i$ if you let $v=[v_1 \cdots v_n ]$ then $v e_i = v_i$ and so $av e_i = e_i$ which means $av=I$.
 
10:06 PM
@TedShifrin I was going through notes I sent you before
@TedShifrin

something I noticed I never noticed before is about why d^2 = 0 for the exterior derivative on exterior product. It is because of symmetry of partials also because base space has zero curvature. This curvature thing is useful for also what I will do in my PhD thesis.
I will make notes for smooth manifolds in case I have to teach it sometime while going through the beginning of that book.
brb
 
@copper.hat I see!! Thanks a lot for your help :-)
One last thing... Could you maybe check if my geometric interprations of the sets are correct? math.stackexchange.com/questions/3944436/…
 
10:40 PM
@Karim: No, $d$ has nothing to do with geometric structure or curvature. So don't be so glib.
 
@TedShifrin
I mean symmetry of partial derivatives is one of them so we get dualwise cancellation
But we also have too that if the base space has curvature then also we won't have symmetry of partial derivatives as well
so we wont get dualwise cancellation as well
the real reason we get this cancellation is because of the fact that partials commute
 
11:07 PM
@TedShifrin what example did you use in your class to show that partials don't necessary commute
 
11:21 PM
I better not just stick to the material haha
brb
 
11:54 PM
@Karim: You're still being sloppy and misstating things. In local coordinates, partial derivatives always commute. It's covariant derivatives that do not commute. This is where you see curvature. If you want to define $d^\nabla$ for a connection on a vector bundle, then squaring that is where you get curvature. But your statements are incorrect as they stand.
 
Yes sorry this is what I mean
I think being sloppy get fixed with time
 

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