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Joe
Joe
00:00
Well, it's not easy to draw $\mathbb R^3$, but if you can do that, then I would simply plot the three vectors in your basis.
As arrows emanating from the origin, I should add.
Then I guess you could think about how any point in $\mathbb R^3$ can be reached by scaling and adding those vectors in the appropriate way (so the set of vectors span $\mathbb R^3$), and how the way the point can reached is unique (so the set of vectors is linearly independent).
@Pizza: Does that answer your question?
.
I was trying to see the graph on Python
Joe
Joe
Hmmm maybe it is easier on a 3D graphing calculating like Geogebra (although Geogebra does annoy me a lot)
Is it something like that by any chance?
(the link Is the figure)
Joe
Joe
Those just look like the ordinary unit vectors of $\mathbb R^3$ to me.
Namely, $(1,0,0)$, $(0,1,0)$, and $(0,0,1)$.
Two of the vectors in your basis should you have a $y-$coordinate of $1$, so it doesn't look correct to me.
But maybe I am just incapable of visualisation.
00:15
No , you are right
I thought I had to do that
I'll try to edit
Joe
Joe
I need to go to bed, sorry.
Hopefully someone else will be able to help.
Good luck with your linear algebra!
 
6 hours later…
06:07
How to prove this?
If X is any left invariant vector field of G, then I have shown that $D\phi(e)(X_e)= D\psi(e)(X_e)$.
4
Q: Induced Lie algebra homomorphisms are equal

Marco FloresLet $\varphi,\psi:G\to H$ be Lie group homomorphisms, with G connected, such that the induced Lie algebra homomorphisms $d\varphi,d\psi:g\to h$ are identical. I want to show that then $\varphi=\psi$. A proof can be found in Frank Warner's book, but it uses differential forms and I would like to...

Thanks a lot !! :-)
I searched but probably not with the right key words.
they are using exponential map there.
Perhaps there is a way without the exponential map.
well, warner apparently does it with differential forms :)
06:35
knowing the right key words is half the battle
Hey all!
🔑⌨️📖🔓🗝️
Hi pal❗
How to do well in interviews? any suggestions are welcome.
2
Rule #1: Tell them what they want to hear™
Exactly! Be the person they want u to be! Cooperate training :p
06:49
I am doing decent in written qualifiers, but when it comes to interview, my brain just freezes :"(
That's all of us :p just be a nice guy and a team player ... Worked for me
team player?
Someone they think can fit in the team
Not sure if that applies here, I am talking about PhD entrance interviews, not job interviews.
You still have to be willing to collaborate in a group with other researchers.
06:57
Sometimes I'm convinced Go is way more beautiful than chess :p
@leslietownes I looked at it. Now, I want to do it using exponential maps :-)
But I don't understand what EW is doing in the third line of their answer.
Why is the derivative at 0 equal to d\phi(X)?
i don't know what definitions you're using, and in my experience all of this subject boils down to which non-equivalent definitions someone is using
math.stackexchange.com/questions/3814534/… is someone posting a near-dupe of that answer, is it better for your purposes?
@MoreAnonymous Go seems way more hard than chess
@SoumikMukherjee yea .. but I may have a bias
math.stackexchange.com/questions/2461873/… is related, but specific to 'matrix groups' as defined in some unknown way in some undergrad text
07:08
@SoumikMukherjee also I completely get ur concerns
see also the first comment "There are many ways to define the exponential map and the differential of a function and how you answer this question is gonna depend on which of those definitions you are using. I don't have access to Tapp's book, can you say what your definitions are?"
I think there should be a better way for this ... Just don't know what
First time when I learned the rules, I thought it would be easier than chess, well... It wasn't
I lost my first game 1-25 or something like that
Then lost two more games without scoring a single point:"
I realized that I was wrong, Go is much more harder than chess.
@leslietownes nvm, I figured it out :-)
The definition that I'm using involves integral curves:
\exp: Lie(G)---> G is defined as exp (X)= \gamma_{X,e}(1).
Here, \gamma_{X,e} is the maximal integral curve of left invariant vector field X at e.
The definition makes sense because the maximal integral curve of a left invariant vector field is complete (that is, domain R)
Yea ... I think it's more important to ask the question than know the answer. Like is Go better than chess ;)
07:25
I also use the fact: X, D\phi(X) are \phi- related to transition to my definition of exp.
Fix an X in Lie(G). If it is shown that $\phi(\exp(X))= \psi (\exp (X))$, then by the fact that $\exp$ maps an open nbd. of 0 to an open nbd. U of G, it would follow that $\phi(U)=\psi(U)$. Since G is connected, $\langle U\rangle = G$, whence $\phi= \psi$ as $\phi, \psi$ are homomorphisms.
So it is enough to show that $\phi(\exp(X))= \psi (\exp (X))$.
Claim: $\phi\circ \exp_X: \mathbb R\to H$ is the maximal integral curve to $D\phi(X)$ at $e\in H$.
Proof: $\phi\circ \exp_X(0)= e$ and $(\phi\circ \exp_X)^{.} (t)= D\phi(\exp(tX))(X\exp(tX))=D\phi(X)_{\phi\circ \exp_X(t)}$. So the proof is complete.
So by definition of exp, $\exp(D\phi(X))= \phi\circ \exp_X(1)=\phi(\exp(X))$
$\square$
07:45
Coolio, proof by definition :P
:-)
@EE18 It can be done a bit easier:
Rewriting Pascal's Rule, we get
$$
\binom{m+i-1}{i}=\binom{m+i}{i}-\binom{m+i-1}{i-1}\tag1
$$
Summing equation $(1)$ telescopes:
$$
\begin{align}
\sum_{i=0}^n\binom{m+i-1}{i}
&=\sum_{i=0}^n\left(\binom{m+i}{i}-\binom{m+i-1}{i-1}\right)\tag{2a}\\
&=\binom{m+n}{n}-\binom{m-1}{-1}\tag{2b}\\
&=\binom{m+n}{n}\tag{2c}\\
\end{align}
$$
Explanation:
$\text{(2a):}$ apply $(1)$
$\text{(2b):}$ the sum in $\text{(2a)}$ telescopes
$\text{(2c):}$ $\binom{m-1}{-1}=\binom{m}{0}\frac0m=0$
08:22
(removed)
arr matey! it telescopes! 🦜🏴‍☠️🔭☠
shiver me timbers! sums off the port bow
👏🏻😁👏🏻
7
Q: 10th Anniversary of Math Educators SE!

SashaThis month (March) Math Educators SE turns 10 years old. Congratulations on asking, answering, voting, and building this community for a whole decade! Whenever a Stack Exchange site turns 10 we like to celebrate by encouraging users to reflect on their experiences here. How did you first discover...

🎆🎇🎆🎇🎆🎇🎆🎇🎆🎇🎂🎈🎉🎈🎈🎊
09:19
Professor @TedShifrin would you like to share any of your anecdotes from your 36 years of teaching?
@SoumikMukherjee "you can't be rejected if you kill everyone who rejects you" - Sun Tzu, The Art of War
An eye for an eye...
-Bible
@SineoftheTime ☠️☠️
I can't be rejected if I don't apply for it in the first place
10:03
If $\phi: G\to H$ is an injective Lie group homom., then $\phi$ is an immersion.
How to prove this?
As before, I have $\phi(\exp(X))= \exp(D\phi(X))$. So if $D\phi(X)=0$, then I want to show that X=0.
I have $\phi(\exp(X))=0$, whence $\exp(X)=0$.
How to show that X=0?
 
1 hour later…
11:22
what is the meaning of $E_xY$ here? What is that subscript $x$?
12:00
Is this about discrete processes?
$x$ is just $\delta_x$ I think, the starting point
Just how $\mu$ is the initial probability measure
i need a new pfp , advice ?
@Pizza Pizza with pineapple toppings.
 
2 hours later…
13:47
@Jakobian I think you're right.
14:11
@Pizza A diagram of a pizza, with radius = z and thickness = a
14:31
Why I still can't understand $P_x(X_{n+m} = z) = E_x(P_x(X_{n+m} = z\mid\mathcal{F}_m))$
15:24
there're three "modes" of M.inside_view() in snappy 'material', 'ideal' and 'hyperideal'. Do you know what are those? @BalarkaSen
and what's the "fillings" option for?
I'm so tired today
maybe its because of my coffee addiction
I've been pumping two coffees a day, yesterday I had just one, and not started my coffee today yet
15:41
I'm trying to curb my coffee intake as well
I'm not trying to curb my coffee intake, coffee is good for you, especially consumed regularly
at least black one, with milk you got milk in it so of course, additional calories and what not
just minimally, but its good
I'm trying to just have one cup in the morning
I usually drink just one
watch out when you drink it though, immediately after waking up is bad because your organism has to make you less tired in the morning naturally
0.5-1.5 hour after waking up is OK
16:00
true
@onepotatotwopotato Seems to me that what you're looking at is the universal cover of the manifold with its hyperbolic tessellation, and material is when your eye is in the bulk, ideal is when your eye is on the ideal boundary (eg cusp) looking inside and hyperideal is seeing the entire $\Bbb H^3$ as a whole
@onepotatotwopotato Dehn filling
You input the slope, it spits out new hyperbolic manifold (if it's hyperbolic)
There's a SnapPy documentation you can read
@onepotatotwopotato This seems to be the formula $E(E(X|\mathcal{H})) = E(X)$
Note that $P(X\in A|\mathcal{H})$ is $E[1_{X\in A}|\mathcal{H}]$ by definition
16:21
math.stackexchange.com/q/4882018/460999 I'm interested in black scholes model
I did watch the veratasium youtube video
pricing options and asset allocation schemes are neat
huh. You should have read a book on stochastic calculus instead
stochastic calculus
that's right. Black-Scholes equation is an SDE, a stochastic differential equation
yeah
the thing I need to understand better is boundary conditions and initial conditions on that SDE
but I am slowly grasping that
maybe it isn't an SDE, I guess I'm wrong
16:28
it is a SPDE
stochastic partial diff eq.
Are there any probability distributions with the property that as you increase at least one of it parameters, there is at least one point in its CDF which does not increase or decrease monotonically (has a possibly-local extremum)?
This appears to be false of the Gaussian and Poisson, according to an eyeball test.
um
how about a compact distribution whose CDF attains a global max at (1,1)?
Then $F(1)=1$ would remain invariant wrt. the parameter of the distiribution
also $F(0)=0$ would be a global min
16:44
hmm
I might have asked the wrong question.
I think I want an "interesting" maximum as the parameter varies (i.e., left and right neighbors along the dimension of varying the parameter are both strictly less), not just an invariant.
17:07
@Jakobian are you around? I need a stupid sanity check
@AlessandroCodenotti physically at least
Say $X_n$ is a sequence of uniformly bounded metric spaces (they all have diameter $1$ for simplicity). Is $d((x_n),(y_n))=\sup_n\{d(x_n,y_n)\}$ a compatible metric on $\prod X_n$?
compatible meaning?
agrees with product topology?
the answer is no iirc
it should be box topology
17:13
Hm. Annoying but reasonable
But $\sup_n\{d(x_n,y_n)/n\}$ works, right?
@AlessandroCodenotti no sorry, its not box topology, its the so called uniform topology
which is different from box topology and from product topology (in general)
oh no you don't
@AlessandroCodenotti sure yeah, you just need to make $r$ small enough for all the balls to be contained and the ball is open so it works
I'm saying, for $B(x, r)\subseteq U_1\times U_2\times ...\times U_n\times X_{n+1}\times ...$
You just need $r$ to be small enough so that $B(x_i, ir)\subseteq U_i$ for $i = 1, ..., n$
and since $i$ has upper bound of $n$ this is possible
given $\sum a_n$, we suppose a new "series" $\sum b_n$ gets constructed by removing the 0s from $\sum a_n$, keeping the same order. I want to prove $\sum a_n$ converges iff $\sum b_n$ converges. my approach: supposing $b_n$ series converges, say that for each n, there exists $0 \leq k \leq n$ such that $\sum_{i=1}^n a_i =\sum_{j=1}^{k(n)} b_j$.
I want to assert, the LHS here is a subsequence of the main series $\sum_{j=1}^n b_j$, and since the main converges, the subsequence converges too. is this argument fine?
since we know our metrics are uniformly bounded we also know that $B(x, r) = B(x_1, r)\times B(x_2, 2r)\times ...$ will have $B(x_m, mr) = X_m$ for big enough $m$
17:24
to get rid of k actually being 0, perhaps we can assert 2 cases: finitely many 0s and infinitely many 0s?
im having a particular discomfort making this argument for, k(n) is actually less than (or equal to) n here, for every n.
Right. Thanks!
I was hoping to be able to just take the supremum. This is going to cause me much suffering in the form of having to juggle $\varepsilon/i$ everywhere
There is something funny going on here. Suppose that the $X_n$ are also compact. Then there is a unique compatible uniformity on $\prod X_n$, and that includes sets that have "width" $\varepsilon$ in all coordinates
17:45
not sure what you mean by includes
I suppose you're going off of the entourage definition
I just mean it is an element of the uniformity
Not sure what you mean
The set of pairs $((x_n)_n,(y_n)_n)$ for which $\sup_n\{d(x_n,y_n)<\varepsilon\}$ belongs to the uniformity
@SoumikMukherjee Okay!
So the uniformity contains sets that have diameter $\varepsilon<1$ when projected to all coordinates
17:53
@Pizza Nice pfp
18:10
@AlessandroCodenotti that doesn't sound right
All sets containing the diagonal belong to the uniformity
Bad question I know, but I can't get a bound on the denominator
Any hints?
@AlessandroCodenotti surely not all sets
just the neighborhoods of the diagonal
That is, I can't relate $1 + |x|$ to $1+|a+b|$ ($x=a,b$) in a useful way
Ah yes of course
18:13
and I don't think $A = \{(x, y) : \sup_n d(x_n, y_n) < \varepsilon\}$ is one
No it isn't
This is all very annoying
I think that is true that if $f:\mathbb{R^n} \to \mathbb{R}$ is continuous and $A \subseteq \mathbb{R}^n$ is bounded, then the infimum and the supremum of $f$ on $A$ are finite. I tried to prove it by this: since $A$ is bounded, there exists a ball $B_R(0)$ such that $A \subseteq B_R(0)$. Hence, $\overline{B_{R+1}(0)}$ is a compact set and $f$ is continuous on $\overline{B_{R+1}(0)}$.

So, by the extreme value theorem, there exists max $M$ and min $m$ of $f$ on $\overline{B_{R+1}(0)}$. But since $A \subseteq \overline{B_{R+1}(0)}$, this means that inf and sup of $f$ on $A$ are bounded too b
@ZaWarudo $\inf_{x\in A} f(x) = \inf_{x\in \overline{A}} f(x)$ and similarly for supremum, since $A$ is bounded, $\overline{A}$ is compact
so $\inf_{x\in A} f(x) = f(a)$ for some $a\in \overline{A}$
your solution is fine too, sure
its basically the same proof, mine could have been applied a little bit more generally, say when $\overline{A}\subseteq U$ and $U\subseteq \mathbb{R}^n$ is the domain
but its not much of a difference
18:35
Consider the conditional probability $P(E|F)=P(E\cap F)/P(F)$. Why doesn't it make sense to speak of $E|F$ as an event? The notation suggests that $E|F$ is something we take the probability of, just like $F$ and $E\cap F$, so it seems like it should be a subset of the sample space $\Omega$, but I don't know which subset it would be.
At least, no text I've come across speaks of $E|F$ as an event...
@Jakobian Thanks! Can I also say that, being $\{B_r(x)\}_{r>0}$ decreasing, we have $\lim_{r \to 0^+} B_r(x_0)=\bigcap_{r>0} B_r(x_0)=\{x_0\}$ so by continuity of $f$ in $\mathbb{R}^n$ we can deduce that $\lim_{r \to 0^+} \inf_{x \in B_r(x_0)} \{f(x)\}=f(x_0)$ and $\lim_{r \to 0^+} \sup_{x \in B_r(x_0)} \{f(x)\}=f(x_0)$?
The equalities you mentioned hold of course, but I am not sure about your justification
With justification you mean when I take the limit of the infimum and the supremum invoking the continuity of $f$?
I mean whatever you wrote
the entire thing
Okay, I am actually not sure too. I was trying to use this result math.stackexchange.com/questions/748639/…
18:44
@psie I'd think about it as a function $E\mapsto P(E|F)$
@ZaWarudo you're not sure what you're trying to achieve in your own argument?
Shamefully gonna perseverate :( any chance you can comment or give a hint to me on the above Jakobian?
@EE18 on what
The picture above re: that identity for ordered fields
oh okay. I didn't notice that
ok, makes sense Jakobian. I guess | is not a set theoretic operation, so hence it makes no sense to speak of $E|F$ as a set, let alone an event
18:50
No worries at all!
Certainly no obligation :)
@EE18 Two things, $x\mapsto \frac{x}{1+x}$ is increasing for $x\geq 0$, and $|a+b|\leq |a|+|b|$
@psie it would make sense if you are willing to change your event space $\Omega$ to something else. But no one does that - I don't think there's a need to
I am not sure if that is a correct application of that theorem in the question I linked before, because it's the first time I apply continuity to infimum and supremum seen as functions of the sets we are taking supremum and infimum on; in particular, I am not sure if the result here https://math.stackexchange.com/questions/748639/prove-functions-defined-by-sup-and-inf-are-continuous?noredirect=1&lq=1 holds on a ball in place of an interval (I believe it holds). I will try to formalize it: since $f$ is continuous on $B_r(x_0)$, by this result the functions $m(r):=\inf_{x \in B_r(x_0)} \{f(x)
@Jakobian I'm not quite sure I can see how I can use that first part but I will think about it. Thank you!
@ZaWarudo it should, but why do you want it to hold if there's a simpler argument for why $\lim_{r\to 0^+} \inf_{x\in B(x_0, r)} f(x) = f(x_0)$?
@EE18 apply it to the inequality in the second part
@Jakobian thanks for your help, I just wanted to be sure to not do logical mistakes. Of course a simpler argument would be better, but the former was the one that I came out with :)
18:59
You should just use continuity directly
Exists $\delta > 0$ such that $|f(x)-f(x_0)| \leq \varepsilon$ for all $|x-x_0|\leq \delta$
@EE18 If d is a metric then d/(1+d) is also a metric
This makes it clear that $|\inf_{x\in B(x_0, r)} f(x)-f(x_0)| \leq \varepsilon$ as well, for $r\leq \delta$
@SoumikMukherjee I don't think EE18 knows what a metric is
besides the proof of your statement follows what I was saying above
I do but its not yet in this book
At any rate, I will use said tips
thanks very much to both of you
19:05
@Jakobian Yes, I just gave EE18 a hint on why $x\mapsto \frac{x}{1+x}$ that you wrote is important.
Was this one that you two just knew from experience, or how does one see this?
I certainly have no intuition for it
I've been given this as an exercise in the past
Same
Not exactly this, but the d/1+d being a metric
How do you see this? Well... you look at the function $\frac{x}{1+x}$ and its properties
and then you just figure it out
fair enough, i guess i just wouldn't have thought to use that lemma of that function increasing in this context
but i see it now
19:15
there's lots of things in math that you just need to notice
and a human being won't possibly be able to notice all of those things
but you have to try
sometimes you need to take a wild guess or make your hands dirty in some ugly argument
thats just how it is
20:05
Hi jakobian
good evening
EE18 there is a whole subfield of contest math that is increasingly elaborate variations on inequalities like the above. stuff like that is ideal for certain contest purposes because it's deep enough to allow for problems of arbitrarily high difficulty without drawing on anything more "advanced" than ordered field axioms, i.e., algebraic manipulations involving order that you might be able to expect a contest oriented preteen to know
20:47
@EE18 The triangle inequality is a bit messy, but not too bad.
21:04
Oh, I see that that is exercise 10, I just hadn’t looked back far enough.
21:17
No worries at all, thanks as always for your help!
My book has me prove the relatively weak claim that the homomorphism between the ring of polynomials and the set of polynomial functions is not in general injective if the field $K$ in question is finite, but it has me do this by example. I assume one can show that this is true for any finite field?
@leslietownes Touche to that, and I certainly got that sense from my brief tour with baby Rudin...it's necessary to be a bit "clever" sometimes
22:05
how many functions are there on a finite field? how many polynomials are there?
$|K|^{|K|}$ for the former, no clue for the latter
if $K$ is finite, what can you say about the former?
$|K|^{|K|}$, no?
of course, but what type of cardinality is this?
im not sure i follow the question, what do you mean by type of cardinality?
22:17
I'm looking for an adjective
finite? natural number?
yes, the former
Ohhhh I see now
whereas $K[X]$ infinite always
now tell me why there are infinitely polynomials over any field (hint: you can just write enough down)
$1X^n \in K[X]$ for all $n \in \Bbb N$
ergo, $K[X]$ not finite since it has an infinite subset
22:20
yup :)
thank you thorgott. Like the old Staples ads, "that was easy" (but it eluded me :/)
 
1 hour later…
23:46
@EE18 yes, any finite field. And only finite fields
The homomorphism from polynomials to polynomial functions is always surjective but not always an isomorphism. In general, if your field, $K$, is infinite, then its an isomorphism, but if $K$ is finite and $|K| = q$, then the kernel of this homomorphism is $(x^q-x)$
@EE18 no really write $1X^n$, you can just write $X^n$

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