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nCm
nCm
00:21
How to find an orthonormal basis for a orthogonal projection operator?
00:33
Is it true for the inverse triangle inequality that $\mid a-b \mid\leq \mid a \mid - \mid b \mid$
consider $a=0$, $b=1$
@TedShifrin y is function of x and x is a function of u
00:57
If $A \subseteq B \subseteq X$ and we know that $X$ deformation retracts to $A$, can we say that $B$ also deformation retracts $A$?
Let $H$ be the deformation retraction of $X$ onto $A$. I was thinking that $F(b,t) = H(\iota (b),t) = H(b,t)$ would be a deformation retraction of $B$ onto $A$, but there is no reason to think that $H(b,t)$ will stay in $B$...
01:58
New thoughts about how to think about matrices and tensors:
Linear functions y=ax+b: one input value gives one output value, and such output can be normalised
Matrices and 2nd order tensors Ax=b: one ordered pair of inputs (x,y) gives one output value. The output can be normalised in the sense that the output is the combination of the unit output of the first and the unit output of the second
3rd order tensors: one ordered triples (x,y,z) gives one output value. and the output can likewise be decomposed similarly
Zee
Zee
02:38
@LeakyNun Zorn’s Lemma requires a non empty set
Come on,, you should know that
03:30
$8^{x-2} = 20^x$
how do I do?
I figure a log base 8 of both sides
$x - 2 = x * log_8(20)$
Laurent series: Let's say I have to get the laurent series for (1/(z)(z-1)) in powers of z. Can I multiply 1/z by the series expansion I get from (1/(z-1)) to get my result?
03:55
You will want to do partial fractions.
So let $\frac{1}{z(z-1)} = \frac{A}{z} + \frac{B}{z-1}$, and then solve for $A$ and $B$.
 
1 hour later…
05:10
Good morning!
Would anyone like to explain to me what it means that the/a Hesse-Matrix is positive semidefinite ?
As far as I know, you can have imaginary eingenvalues in the Hessematrices I am dealing with, what in a sense means that you can have negative curvature components (interpreting the Hesse Matrix as second derivative of some scalar function $\Bbb R \to R^n$.
Though "they say" its positive semidefinite and give the "whole thing" a ">0" sign.
In some sense. Which is it?
05:44
@Rudi_Birnbaum ich glaub, das es heist "Hessian" in Englisch
@LeakyNun stimmt natürlich!
but please forget the question I have found the answer!
For smooth functions, the Hessian is symmetric, so it's orthogonally diagonalizable
in particular it has only real eigenvalues
(its only so for convex functions ... which is kind of circular ..)
circular?
@LeakyNun I am not sure, in my case that is not true in general.
05:47
enlighten me
The general statement is
"The Hessian matrix of a convex function is positive semi-definite."
sounds believable
So if the function is not (in all dimensions, I guess) convex, but instead you have a saddle point of some order, than you get imaginary eigenvalues.
This what I knew.
are your functions smooth?
05:49
3 mins ago, by Leaky Nun
For smooth functions, the Hessian is symmetric, so it's orthogonally diagonalizable
3 mins ago, by Leaky Nun
in particular it has only real eigenvalues
But now I stumbeled across something where a kind of hessian occures that is always psotive semidefinite
In fact you only need C2 to have symmetric Hessian
but then the EV are possibly negative then
indeed
if its nor convex
05:50
but never imaginary
My cases are QM cases which are not symmetric but hermitian
(self-adjoined)
hermitian... you're working with complex functions?
yes
QM = quantum mechanics
all holomorphic functions are analytic so in particular smooth
so in general we get sometimes "imaginary frequences"
05:52
so you do get hermitian hessians
@LeakyNun nonon
$\Bbb R^n\to \Bbb C$
fair enough
not $\Bbb C \to \Bbb C$
05:53
btw the saddle is characterised by $\begin{bmatrix}1&0\\0&-1\end{bmatrix}$
you don't need imaginary eigenvalues
so nothing to do with holomorphic and stuff
@LeakyNun true but you can get them
And well we have singularities somewhere but avoid them by controlling the domain, so to say .. Its just numerical stuff in a way
but you should get symmetric complex matrices?
What I am takling about is the dependence of the (total) energy of a molecule from the positions of the nuclei
the positions of the nuclei are $\Bbb R^n$
and the energy is $<\Psi|\hat{H}|\Psi>$.
Where $\Psi$ is $\Bbb R^n\to \Bbb C$ and $\hat{H}$ is an hermitian operator.
great
@LeakyNun no hermitian,
$x\in\Bbb R^n$ then my Hessian is
$$\frac{\partial^2 <\Psi(x)|\hat{H}|\Psi(x)>}{\partial x^2}$$
So that can have negative eingenvalues, (no imaginary right)
but the "frequencies" that is the square roots of the eigenvaules (sorry) can be imaginary!
Sorry my mistake!
06:04
lol
lol
Now I stumbled across the claim that some Hessian is always positive seimidefinite
that confused me.
Until I found out that its not one for $\hat{H}$ but rather for some $\hat{H}_0$ ...
where $\hat{H}=\hat{H}_0 + \hat{H}'$
which I still do not fully understand (I mean for what reason that one is always positive seimidefinite)...
06:21
Wait, its about the diagonal part of $$\frac{\partial^2 <\Psi(x)|\hat{H}|\Psi(x)>}{\partial x^2}$$, the claim is that this has only positive eigenvalues ... hmmm ..
Ok its the diagonal part of the symmetric part (does it make sense?) @Leaky
complex symmetric matrices... not on my expertise :P
 
6 hours later…
12:58
In economics, dynamic inconsistency or time inconsistency is a situation in which a decision-maker's preferences change over time in such a way that a preference can become inconsistent at another point in time. This can be thought of as there being many different "selves" within decision makers, with each "self" representing the decision-maker at a different point in time; the inconsistency occurs when not all preferences are aligned. The term "dynamic inconsistency" is more closely affiliated with game theory, whereas "time inconsistency" is more closely affiliated with behavioral economics....
13:34
@Secret sick
14:17
cosxdy=y(sinx-y) dx, 0<x<Ď€/2
Does anybody know how to solve this differential equation
 
1 hour later…
15:38
@ÍgjøgnumMeg grade meine zweite Radeinheit gemacht 01:15(@5-9°C aber sonnig wenns nicht grad im Schatten war ...).
@LeakyNun Hello
 
1 hour later…
16:44
If I reparametrize a path $\alpha$ to a path $\gamma$ with constant speed, could it be that $\gamma$ is no more differentiable?
17:02
I have two sets of numbers
one contains less numbers then the other
however this smaller set is made of numbers that are way bigger than the ones contained in the bigger set
How can I define a function that maps these big numbers into the smaller ones?
I needs to be a bijection
122122122122122122122122122122122122122122122​​​​​
​​​​​9711511110010411898119101117121100554950​​​​​
example of big numbers, or even bigger ones
You can't form a bijection between two sets of differing cardinalities.
@Rithaniel Yes you are right thanks, I haven't explained correctly, I wanted to say that the bigger set resizes accordingly to the smaller. But this just confuses you. Let's just say that the sets have the same amount of elements
17:22
@quallenjäger If the original curve is $C^k$, the reparametrized curve will also be $C^k$. Note that arclength $s(t)$ of a $C^k$ curve parametrized by $t$ is again $C^k$ (because you integrate a $C^{k-1}$ function).
@Rudi: The real Hessian is a (real) symmetric matrix. If you're dealing with complex functions, probably the Hessian is the matrix of partials $\partial^2 f/\partial z_j\partial \bar z_k$? This will be Hermitian.
@TedShifrin But does the arc-length has to be differentiable?
@TedShifrin Hi Ted! In general we deal with complex stuff, but in both cases the eigenvalues are real, though can be positive. For time independent QM, you can show that you can write everything real.
@Rudi, well, the eigenvalues of a hermitian matrix are of course likewise real :)
Yes as I said.
@quallenjäger: It will be as differentiable as the original curve. I sketched the argument up there.
OK, @Rudi. I didn't read carefully. My main intent was to mention the complex Hessian.
17:28
but i can be more cosy to have real matrices sometimes.
I'm a big fan of $z$ and $\bar z$ derivatives :P
@TedShifrin Well done you mentioned it ;P
Comes from being a complex geometry person :)
LOL, I'll shaddup now. :)
@TedShifrin No way, we are always pleased about any comments from you. Btw HAPPY BIRTHDAY!!!!
@TedShifrin Ähm sorry I mean does arc-length has to be invertible?
17:30
Oh, thanks, @Rudi. ;)
Is it a good or a bad sign, that you appear here on your birthday?
@quallenjäger: It's invertible as long as the original curve is regular (nowhere-zero velocity). That's the usual requirement for working with parametrized curves. Otherwise, of course, if the curve stops and sits somewhere for a while, you won't get an inverse.
@Rudi, my birthday was two days ago.
But I probably appeared for a while, regardless.
Oh dear - I lost control of time ..
@TedShifrin And in such case the differentiability could be a problem?
17:31
then I wish it belatedly!
Happy Birthday, Ted!
Thanks, folks. @quallenjäger: What is your precise situation? Is $\alpha'(t)=0$ on a closed interval?
@TedShifrin I am a bit lost, I mean $\alpha'(t)=0$ could also occur if the path changes its direction? it doesn't really has to be a point, where $s(t)=s(t')$ for some $t'>t$?
So what I am currently struggling is, what would be the sufficient condition to ensure that the reparametrized path to be $C^k$
No, arclength keeps accumulating as you move along the curve. It measures total distance traversed.
But $\alpha'(t)=0$ does not induce that my path stops right?
17:37
But, changing direction (literally) requires stopping. So there could be problems.
Yes, $\alpha'(t)=0$ means that the velocity is $0$, so the particle stops. The question is: For how long does it stop?
Ok, then I have a problem. :D I would allow a general $C^1$ path, which I will allow stopping and change direction. I would like to know if I can reparametrize such path to a C^1 path with unit speed.
Note that when your particle stops, the trajectory is likely to fail to be a manifold.
I am working on $\Bbb R^n$.
No, I'm talking about the image path.
Consider $\alpha(t)=(t^2,t^3)$.
That is a $C^\infty$ function, but the image has a cusp.
Ah yes, I don't care about that
17:41
So the arclength function is smooth, but its inverse is not differentiable at the point corresponding to $t=0$.
This is a good example to understand, I suspect.
Exactly such things is of my interest, or as I have trying to work on ((t-2)^2,(t-2)^2)
Why bother with the 2's?
If I can parametrize such path to a $C^1$ path with unit speed
Just look at the path $(t^2,0)$ in the plane.
Ted in the definition of a limit
X,Y are metric spaces
why do we have E subset of X , why not work directly on X ?
17:43
So you have the same phenomenon as in my example. Basically, the speed looks near $t=0$ like some (nonzero) constant times $|t|$.
@Jacksoja: I'm busy at the moment.
alright have fun
So $s(t)=\int_0^t |u|\,du$.
You can write that down explicitly. There will be an inverse, but it is far less smooth than the original because of vanishing speed.
I noticed that, I have a cusp in both cases.
Cusp? I don't understand that.
Well, in this case I am not sure if the inverse is still differentiable and if the differential is continuous
17:48
So, even though I started with a $C^\infty$ curve (doing $(t^2,0)$ or yours), arclength is only $C^1$. Now let's think about reparametrizing. Obviously, you can't do it continuously because the tangent vector to the arclength-parametrized curve would literally have to switch directions (as a unit vector) at the origin.
So there is no differentiable reparametrization by arclength.
The same thing happens with my cusp example $\alpha(t)=(t^2,t^3)$.
hi, italic @Alessandro
@quallenjäger: The only hope will be if the curve leaves the stopping point with the same tangent direction with which it enters.
I didn't quite get your second argument, what the problem if the tangent vector of the arclength-parametrized curve has to switch direction?
17:54
It's like the signum function, @quallenjäger. If $f'(t)=1$ for $t>0$ and $f'(t)=-1$ for $t<0$, the function cannot have a value for $f'(0)$.
Heya @Eric.
how goes the livin errbody
@quallenjäger: To be specific, Darboux's Theorem tells you that the derivative always has the intermediate value property (even without assuming $C^1$), so there can be no differentiable such function.
Need some clarification on the definition of a term. In group theory, does "countably generated" means that the group has (a) countably many elements, or that it needs (b) countably many unique generators?
Also, the living goes well, EMS. (Danke, Alessandro)
17:57
(it also implies that the group has countably many elements)
@TedShifrin I see, thank you. I will work out these
I might have to come back again :D
So you could never attain an uncountable set using only countably many generators? Interesting.
I just noticed that I have totally written up some rubbish in my thesis because of that.
Countable unions of countable things, @Rithaniel ?
My apologies, @quallenjäger. It's your fault for asking :P
An element is essentially a finite string of generators, and taking finite subsets doesn't increase the cardinality
17:59
@TedShifrin At least i noticed it earlier
better than pointed out by some expert to embarrass my self.
(I'm assuming AC of course)
@TedShifrin Would it mean, that if the path is at natural parametrization and is $C^1$, there cannot be such cusp?
Natural parametrization = regular, as I said earlier? Nowhere-vanishing derivative?
Okay, that makes sense. Though, that makes me think of a though I had a while back. Infinite sums are always of the form $\sum_{n\in\mathbb{N}} f(n)$. What if you were to somehow have a sum over an uncountable set?
In other words, there cannot be such sudden change of the direction of the tangent vector?
18:01
Tell us how to define that, @Rithaniel :)
Yeah, that's a good point.
If the derivative is nowhere-zero and varies continuously, then it cannot change direction at a point. It follows from basic stuff that the image is actually a $C^1$ $1$-dimensional manifold, @quallenjäger.
@Rithaniel: Note that you're using more than countability there. You're using an ordering, too.
What about all natural number points on the long line (I have no education on the long line, so my terminology there might be way off)
But if the derviative is nowhere zero but not continuous, it could be some cusp right?
18:07
No, I don't think so, @quallenjäger. Work out that theorem I told you about real-valued functions. Derivatives must have the intermediate value theorem, always.
There is no differentiable parametrization of $y=|x|$, no matter how hard you try, @quallenjäger.
With nowhere zero derivative, I mean.
Of course you can slow down, stop, and turn the corner.
I see your point. The problem that $(t^3,t^2)$ worked is because we can guarantee the continuity of the derivative by shrinking its tangent vector length. But if we keep the length as constant, then the only way to guarantee the continuity of the derivative is that the direction is closed to each other right?
Yes, sure. If you have a continuous nowhere-zero vector-valued function $f$, then $f/|f|$ is continuous.
Darboux theorem works only for $\Bbb R$?
18:22
I don't know what "intermediate" means otherwise.
But you can certainly modify this in $\Bbb R^2$ by considering the map to the unit circle, which can be (locally) parametrized by a subset of $\Bbb R$.
I don't understand, would the intermediate theorem mean, that for any two tangent vectors $f(a)=v,f(b)=w$, which can be thought as a function on the unit circle, there must be a point $\psi$ on the arc enclosed by $v,w $, such that $f'(s)=\psi$ for some $s\in[a,b]$
I mean values in the unit circle.
But I think that's what you're thinking.
But I can have two arcs, which arc are we considering for the unit circle?
No, the converse. If $f$ maps to a particular arc in the unit circle (you have to remove a point to start with), then every point in the arc between $v$ and $w$ must be a value of $f$ somewhere.
I see, so it is basically in the direction of from $v$ to $w$?
18:30
I don't know what that means without choosing the arc.
But you can do an "either/or" statement using both the arcs.
Oh I see
Thank you Ted!
I go back to work
You're welcome.
18:51
@TedShifrin hello
19:37
Hey @Ted
Hey @Balarka!
Oh look a nerd
Looks like this is the nerds club then! Hi @Balarka
But yeah how's it going?
Also yo @Alessandro!
19:39
Hi Dami
Yo @Alessandro
It's going fine
What kind of math have you been doing lately?
Eh, nothing too specific. I have been thinking about probability now and then
Nice
I had some vague functional analysis questions that I want to ask actually
19:42
I'm a few years late but here isn't the Serre proof the one using Bass-Serre theory to say that a group acting freely on a tree is free rather than going through covering spaces theory? @Balarka
Also my functional analysis is rusty, but I should review it for a course I want to take next term so this might be a good occasion to think about some FA
@AlessandroCodenotti I guess so. Bass-Serre theory gives the more general Kurosh subgroup theorem
If $G = A * B$ then subgroups are all of the form (free) * (free product of conjugates of subgroups of A) * (free product of conjugates of subgroups of B)
Ah cool
In class we only saw the usual subgroups of free groups are free as follow: By Bass-Serre theory a group acting freely on a tree is free, let $H\subseteq G$ with $G$ free, then $H$ acts freely on the Cayley graph of $G$ (wrt a free generating set) so it must be free
Anyway what about functional analysis?
Let's see if I can reconstruct the proof of Kurosh subgroup theorem. $K(G, 1) = K(A, 1) * K(B, 1)$, so $\widetilde{K(G, 1)}$ looks like $Cayley(F_2)$ with vertex spaces being $K(A, 1)$ and $K(B, 1)$ alternatively and edges being one-point unions. This is what is known as a "graph of groups"
$G$ acts freely on this by deck transformations, and the quotient is $K(G, 1)$. The cover corresponding to $H \leq G$ is $\widetilde{K(G, 1)}/H$. The free action on the total space of this graph of groups restricts to an $H$-action on $Cayley(F_2)$
The graph of groups corresponding to this is $Cayley(F_2)/H$ with vertex spaces being stabilizers of the $G$-action on $Cayley(F_2)$. But those are conjugate to $A$ or $B$. The edge spaces are one-point union again.
$\widetilde{K(G, 1)}/H$ is $K(H, 1)$, so fundamental group of this recovers $H$. Collect the loops, that gives a contribution of a free group. Collect the "$A$ vertices", that gives a contribution of a free product of conjugates of $A \leq G$. Collect the "$B$ vertices", that gives a contribution of a free product of conjugates of $B \leq G$.
That's all
20:05
Hello, I have a question.
Are if and only if statements an alternative ways to proving the uniqueness of a solution?
@BalarkaSen ?
For instance, lets say x satisfies P(x) and if P(x) then x does that mean I have shown that x is unique?
@BalarkaSen Er, I meant subgroups of conjugates of A, B, etc. The vertex spaces of $Cayley(F_2)/H$ are vertex spaces of $v \in Cayley(F_2)$ left invariant by some subgroup $K \leq \text{Stab}_v(G)$, quotiented by $K$.
If P(x) then x doesn't make sense. x is something you plug into a proposition, not a proposition in and of itself.
Your question might make more sense if you had a concrete example in mind you're comparing to.
But $\text{Stab}_v(G)$ is always a conjugate of $A$ or $B$ in $G$, so $K$ has to be conjugates of subgroups of $A$ or $B$ in $G$
20:13
@MikeMiller Consider the following: $x=g^{-1}h$ $\iff$ gx=h$
(I feel kinda bad interrupting one of the few math discussions in this chat, but did you see my album recommendation on DC a few days ago @Balarka?)
I mean, that tells you that there is a unique $x$ that satisfies $gx = h$, but the reason it tells you that is because the LHS says what $x$ is.
@MikeMiller @AlessandroCodenotti Sorry, I'll ask func. anal. in a bit. Just trying to clear out my Kurosh picture
@Alessandro Oh I didn't
There's only one element named $g^{-1}h$.
What's the album?
20:15
@BalarkaSen Ping me when you do, I am going to step out
From the Gallery of Sleep by Night Verses, an interesting instrumental mix of postrock, prog metal and post hardcore
For sure! Thanks for the interest!
aha, so the left side shows the existence of the solution for gx=h.
@Alessandro Oh shit I need a new album to listen to. I'll check this out
(Going left to right)
20:16
It's a bit heavier than my usual recommendations but you might like it
and then going right to left shows that its unique?
I have been listening to the new Aesop album on repeat
It's so good
Is my reasoning correct, @MikeMiller?
I only heard a single or two, I still have to listen to the whole album properly
But I need to get out of the rut of listening to same albums over and over again
20:18
No, @topologicalmagician. The left side tells you everything you want to know. (I disagree that "iff" has much to do with existence and uniqueness.)
Here is the setup. You want to solve the equation $gx = h$.
Using your iff, you see that every solution satisfies $x = g^{-1}h$, and in fact that this solves the problem.
Oh, no, I guess you're right.
Left to right says this element solves the problem. Right to left shows that this element is the only one that solves the problem.
However, this is a very special type of iff, so I stand by my first sentence!
Let $F$ be a field. The minimal polynomial of a Jordan Block $J_d(\lambda)$ of length $d$ to an eigenvalue $\lambda\in F$ is $(X-\lambda)^d$. My professor urged to see this by considering $F^d\cong F[X]/((X-\lambda)^d)$. Multiplication with $X$ induces a linear map on the right-hand space whose minimal polynomial is $(X-\lambda)^d$, but I don't see the correspondence to left multiplication with $J_d(\lambda)$ on $F^d$. Can anyone set me on the right path?
Heya a @Balarka
@Thorgott: You need the right basis for $F^d$.
Thanks @MikeMiller, am I correct to say that an alternative way to prove uniqueness is to show that $\exists x(P(x) and \forall y (P(y) \implies y=x)?
@topologicalmagician: If you remember being taught to check for extraneous roots in high school, this is part of the same thing. For example, when you solve $x=\sqrt{x+2}$ you show that if $x=\sqrt{x+2}$, then $x^2=x+2$, so $x=2$ or $x=-1$. However, checking for extraneous roots is asking whether the converse holds. So, yes, solving an equation is giving an iff ...
I don't really understand why you want to be so formal. I can't imagine a situation where you'd prove some statement like you envision instead of just showing that something exists, and is unique.
20:32
But the uniqueness check is, typically, showing that $P(y) \implies y=x$. :P
@TedShifrin thank you, that makes sense. But shouldn't that be sufficient to show uniqueness?
As Mike says, you're being very symbolic about it, so it's better to understand what you're doing. Yes, once you have a solution $x$, to establish that it's the unique solution, of course you typically show that if you have any ("other") solution $y$, then you must have $y=x$. On the other hand, you might have an algebraic argument where every step is an "iff" and then there's no need to make a separate argument.
2
@TedShifrin @MikeMiller Thank you, both of you. That was really helpful.
I have another question, if you don't mind me asking.
If I want to learn differential geometry, should I learn measure theory before learning differential geometry?
What do you mean by differential geometry?
Before you do fancy abstract stuff, I would recommend learning (1) differential geometry in $\Bbb R^3$ (curves and surfaces), (2) differentiable manifolds in $\Bbb R^n$ (Guillemin & Pollack).
For the former (e.g., my text that is freely available), you need solid multivariable calculus and some linear algebra. For the latter, you need multivariable analysis (understanding the derivative as a linear map and the inverse function theorem).
What book would you recommend for learning multivariable analysis?
20:45
Ted Shifrin, "Multivariable Mathematics"
Princeton Review's Cracking the Mathematics GRE
Hi @Ted
Depends on your background. I'm fond of my own textbook (for which there are lectures on YouTube). If you've had a serious real analysis course already, you could look at Munkres's Analysis on Manifolds ... Thanks to a @Balarka for plugging me. :P
hi Demonark
How's it going Ted?
(who doesn't know multivariable calculus)
so, a @Balarka, what topology/stratification stuff are you doing these days?
20:46
Thank you. Do you have any advice for someone who wants to learn diff geo?
As I asked before, what do you think diff geo is ... and what is your background? And why do you think you want to learn it?
I mean, I spent a whole life working on this stuff ....
Reimannian Geometry and Symplectic Geometry
That is serious graduate-level stuff. From the questions you've been asking, I think that might be a few years away for you.
You need multivariable analysis, point-set topology, and a lot of sophistication.
I still recommend doing curves and surfaces first to develop computational skill and intuition.
And by the time you get there, your interests might (likely will) change, like mine did!
I agree with everything else Ted said.
LOL ...
What a rarity :P
20:51
@MikeMiller I'm worried about that. haha
Usually, @Erico is the only one agrees with Ted.
It's nothing to be worried about, you like what you like
Hello!! Does someone of you have an idea about my question about cubic splines? math.stackexchange.com/questions/3113106/…
Totally agree with Demonark.
20:51
As long as you don't like higher topos theory you're good
<--- knows nothing about splines
(well, maybe the idea)
At some point you'll find out you really like set theory, just accept the truth now instead of wasting time on geometry
When you're deeper into grad school and have an adviser then you should hope you remain interested in whatever you chose because it becomes hard to switch
ive been summoned to agree with whatever it was Ted said
kicks italic @Alessandro out of the room
20:52
He said "Totally agree with Demonark"
That was a once-in-a-lifetime thing, Demonark.
I guess that was deserved @Ted :P
I don't think owners can kick out other owners. Maybe I should try.
I'm pretty interested in measure theory, is there any connection between measure theory and diff geo?
20:53
Or maybe I should try
It still shows up as an option, @Alessandro. Who's gonna try?
@AlessandroCodenotti who doesn't love set theory?
something something geometric measure theory
geometric measure theory has a big part of it devoted to DG and MT
There's plenty of connections between measure theory and set theory, just saying
20:54
I think some types of geometric measure theory
@topologicalmagician: If you get into very analytic parts of geometry, like geometric measure theory or geometric partial differential equations.
Lmao, 3 points for GMT and 1 point for set theory
@topologicalmagician Just learn what you like now. Don't worry about connections. You'll find them if they're there. :)
@topologicalmagician We should throw a coin
This is too far out to think about very hard.
20:54
@MikeMiller a budding differential geometer must think about connections!
@Alessandro: You gonna try?
Nah, I was just joking, but I think it should work
@Daminark yeah I was deciding whether or not to make such a joke
smacks Demonark for reverting to his old bad humor
20:55
And decided that only real nerds would say that
I got got D:
u got him good bud
OK, Alessandro, I'll do it to you. :P
Oh, it said it would notify mods. I certainly don't want that.
If you want to try :P first time it's only for a minute right?
NVM i'm gonna do number theory
20:56
Oh now we're talking
It's OK if they notify room owners, but I don't want outside mods summoned.
Oh, nevermind then, I thought only the third kick would notify mods
oh no he's gone over to the dark side
I dunno the rules, @Alessandro.
20:56
He might care, but I don't.
I got notified actually
OK, finally free from other bull
I think only room owners should be notified.
Oh ... Mike did it.
Yeah, I got notified.
@TedShifrin, I found your youtube series. I feel like binge watching them.
20:57
Some is very elementary, but some is quite advanced, @topologicalmagician.
I'm back!
Missed me?
Oh darn, @Alessandro is back.
@Alessandro So, you read my proof of Kurosh subgroup theorem?
I have an exam in two days so I didn't, I'm busy studying
20:58
Evidently very busy studying.
I sure as hell didn't read it
Anonymous
@MikeMiller And mods who are active in the room at the time of kicking.
I will on Saturday though, it looks interesting and now that we went through Bass-Serre theory I might as well see the applications
Cover your eyes, @Blue.
@Blue So you should leave! :D
20:58
@TedShifrin Maybe I should ask to be kicked more often
You hardly need to ask, @Alessandro.
Damn, I can't kick him. He's too powerful.
@TedShifrin do you have advice on how to improve ones mathematical sophistication?
@topologicalmagician You are thinking too hard!!
Anonymous
@TedShifrin It's okay. I can handle it. :P
20:59
Stop thinking about very long-term goals. Just keep doing math.
Lots of practice, @topologicalmagician.
It's a matter of time and practice.
probably bad advice to tell someone to not think while doing math
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