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01:18
@XanderHenderson ANOTHER Grandslam & the Yankees are still alive!
02:15
still wondering what a grandslam is other than my mother's punishment for talking back
03:08
@think_meaning_builds Boo!
 
1 hour later…
04:16
In baseball, a grand slam is a home run hit with all three bases occupied by baserunners ("bases loaded"), thereby scoring four runs—the most possible in one play. According to The Dickson Baseball Dictionary, the term originated in the card game of contract bridge, in which a grand slam involves taking all the possible tricks. The word slam, by itself, usually is connected with a loud sound, particularly of a door being closed with excess force; thus, slamming the door on one's opponent(s), in addition to the bat slamming the ball into a home run. == Highlights == === Players === Roger Connor is...
 
3 hours later…
08:07
@BenSteffan Don’t worry. I was sufficiently careful with my symbols.
 
2 hours later…
10:34
Can someone please xlarify the meaning of a non dense subset in a metric space. I thought a subset A in ametric space X is said to be non-dense iff it's not dense, i.e. $cl(A)\neq X.$ But strangely enough, our professor gives a weird complicated definition for the same: A set is said to be non-dense iff there exist for every open sphere $B(x,\epsilon)$ another open sphere $B(x_1,\epsilon_1)\subseteq B(x,\epsilon)$ such that $B(x_1,\epsilon_1)$ is free from any point of the set $E.$
Can someone please clarify which is a relatively standard notion?
In the internet I find no articles about non dense sets. Only the term nowhere dense is there everywhere. That makes me even more confused.
There are different definitions of dense subset and they're all equivalent
11:17
hi
@ThomasFinley what your professor calls "non-dense" is called nowhere dense
I never heard of "non-dense" but according to this site for example, its another name for nowhere dense, so I guess some people do use it
the idea is that a nowhere dense set is not only not dense, but its not dense in any open non-empty set
@Jakobian @Claudio this formula by the way, it should be true for partial derivatives, not sure what it would mean for gradients I guess there is some version for that too
 
2 hours later…
13:14
@Jakobian Ok, I get it. That makes a lot more sense now. Thanks!
13:29
@Jakobian In the definition: a set is said to be non-dense iff there exist for every open sphere $B(x,\epsilon)$ another open sphere $B(x_1,\epsilon_1)\subseteq B(x,\epsilon)$ such that $B(x_1,\epsilon_1)$ is free from any point of the set $E.$ we can also replace the open spheres by open sets and even then it seems to coz no problem, isn't it?
Then it becomes: a set is said to be non-dense iff there exist for every open set $U$ another open set $U_1\subseteq U$ such that $U_1\cap E=\phi.$
Imho these two definitions seems to be equivalent, right?
@ThomasFinley no, this is not quite correct
in here both $U$ and $U_1$ need to be non-empty
wait no that doesn't matter
sorry, yes its correct
14:16
@Jakobian ok, thanks for the help!
if $B(x,r)\subseteq B(x,s)$ then can we always say that $r\leq s$ in a metric space $(X,d)$ ?
($B(x,r)$ is an open ball of radius r>0 centered at x.)
Draw a picture in $\Bbb R$
@SineoftheTime In $\Bbb R$ that is trivially true
Also in $\Bbb R^2$ it's trivially true.
In general, for $\Bbb R^n$ it is true.
But I'm talking about any random metric space $(X,d).$
I can prove that this is indeed valid for any metric space $(X,d)$ if the following statement holds: Let $x\in X.$ For every $r>0$ there exists a $y\in X$ such that $d(x,y)<r$
Again, my question is: Is the above above statement really valid?
@SineoftheTime You see the problem, now?
@ThomasFinley I misread. I switched the radius with the center :D
@SineoftheTime Ah, I see.
But what d' ya think? It's not valid in general, right?
I'm talking 'bout the validity of this:
if $B(x,r)\subseteq B(x,s)$ then can we always say that $r\leq s$ in a metric space $(X,d)$
14:40
Can't you take for example $z\in B(x,s)\setminus B(x,r)$ ?
Assuming $B(x,r)\subsetneq B(x,s)$
@ThomasFinley no
@SineoftheTime the thing is that equality can hold
for example in discrete metric space, or even $\mathbb{R}$ with the metric $d(x, y) := \max(1, |x-y|)$
That for $r < s$ there is a strict inclusion $B(x, r)\subsetneq B(x, s)$ holds only in some particular class of metric spaces
Are certain groups of mathematicians interested in non-varieties whose singular loci are varieties?
14:57
@Jakobian right, with the equality there are problems
Hi
Hi
Anyone interested in reading my manuscript?
15:10
can ayone help me solve a problem
@PamMunozRyan Just write the problem
and then post it?
or write it in here
Just don't ask to ask.
write it
instead of asking if someone can help
Let the nonempty sets $A,B$ be with the property that $A \cup B= N^* $ and
they are disjoint. Determine the functions $f:N^* \to N^* $ with the property that
$f(m+n)=f(m)+f(n)$, for any pair $(m,n) \in (A \times A) \cup (B \times B)$.
So I thought of taking the case where both are zero, then we get the fact that $f(0)=0$.

Another interesting thing I discovered is that if we take $n \to -n$ then we have a periodic function $f(m)=f(m-n)+f(0)=f(m+n)$.(idk if this stands cus we have natural numbers but anyway)

Also $f(2m)=2 \cdot f(m)$.
15:18
What is $N^*$? Natural numbers?
Natural numbers without zero
wait maybe not, yeah sorry
How would I prove for two PMFs $P$ and $Q$ on countably infinite support $A$, if $D(P||Q) < \infty \implies \sum_{x} P(x) |\log(\frac{(P(x)}{Q(x)})| < \infty$. I tried to split them over the positive and negative part sums and show each one is finite, but I can't apply the log-sum inequality to do so because I have an infinite support
Defining the set $A^+ = \{x \in A | \frac{P(x)}{Q(x)} \ge 1\}$ and taking $A^-$ to be the complement I can split $D(P||Q)$ into two sums $S_1$ & $S_2$ over each disjoint support. It suffiices to show that $S_1$ (positive sum) or $S_2$ (negative sum) is finite, the easiest way I think is to apply jensens inequality in the form of the log-sum inequality but I can't do that since I don't know if the sum converges absolutely.
Other way I think is to basically show that $S_1$ and $S_2$ can't be infinite, so the partial sums can't be conditionally convergent - however I am unsure of how to start this. I think there is a simpler way...any advice??
$D(P||Q) = \sum_x P(x) \log(\frac{P(x)}{Q(x)})$ - probably want to use that the sum of the pmfs is 1 somehow but I can't see it...
@SineoftheTime Can I show you if I'm doing the exercise right?
It's about the residues
@Pizza Just ask; don't ask to ask
15:33
Ok
$\oint_C \frac{e^z}{\cosh z} dz$ where $C$ is the circle defined by $|z| = 5$
I started by writing $\cosh(z)$ in another form
$\frac{e^z + e^{-z}}{2}$ so the function becomes $\frac{2}{1+e^{-2z}}$
To find the poles I wrote $e^{-2z} = -1$ , so $e^{-2z} = e^{i\pi(2k+1)}$
$z = -\frac{i\pi(2k+1)}{2}$
$\left| -\frac{i\pi(2k+1)}{2}\right| < 5$ so $\quad (2k+1) < 10/π$
$10/π \approx 3.18 , k < 1.09$
So I took $k = 1,0,-1,-2$ , beyond that it did not respect |z| < 5
So I get $z = ± 3πi/2$ and $z = ± iπ/2$
So far Is fine ?
it seems ok
15:52
Ok , each pole is a simple pole
$\operatorname{Res}(f, z_k) = \lim_{z \to z_k} (z - z_k) f(z)$
I'll try to calculate the limits for a moment
Oh no maybe it was better to do it this way
$f(z) = \frac{g(z)}{h(z)}$
$\operatorname{Res}(f, z_k) = \frac{g(z_k)}{h'(z_k)}$
well, it's the same formula at the end of the day
16:10
oh yeah, anyway I managed to find 8πi luckily
But is there a way to check these kinds of exercises on wolfram?
@SineoftheTime Do you know other ways to solve the exercise?
Oh anyway thanks for the link
@Pizza these exercises are solved using Cauchy formula or residue theorem
same thing
More than anything I didn't quite understand if that part where I approximated, can be done in some other way, I don't know
you have to compute the modulus, so no I don't think there's a different way
16:21
ah ok
17:01
Consider the inverse function which we all know and love. It says that if the function is $C^1$ and the determinant of the Jacobian matrix does not vanish at a given point in the domain, then we are guaranteed a $C^1$ inverse in a neighborhood around that point. Now suppose the determinant of the Jacobian matrix does not vanish at each point of the domain. Does this mean we can form a global inverse of all the local inverses we obtain at each point?
Determine the functions $f:N^* -> N^*$ with the property that:$\frac{3}{f(1)+f(2)+...+f(n)}= \frac{4} {f(n)}- \frac{4}{f(n+1)}$ for any $n \in N^*$
The first thing that came in my mind is that formula that says that $\frac{1}{k}-\frac{1}{k+1}=\frac{1}{k(k+1)}$
EDIT: I meant the inverse function theorem.
And maybe we can take all these functions in a member and process them. I tried doing it but to be honest in got to nothing useful
@psi I'm studying it right now and I think no
I think so too, but why?
17:14
take the ring $A = \left{ 1<\sqrt{x^2+y^2}<3} \right}$
and consider $\psi(x,y) = (x^2-y^2,2xy), \psi \in C^1(A)$
$det(J\psi(x,y))>0 \text{ for } (x,y) \in A$
but obviosly the function is not injective
@Claudio do you think you can post the ring again? You need to put \} whenever you want to use curly brackets.
Or \{
Ok. 👍
this is an example from my book
but obv the theorem gives you local invertibility so u can take a small ball around either of those two points and you're fine
@psie u can find ulterior conditions to obtain global invertibility
I haven't studied them though
hmm, ok
17:22
it's a long proof tho
I mean very complicated
I'd link you the book but it's in Italian only unfort
@Claudio isn't there a typo in the example? Shouldn't the determinant be $4x^2+4y^2$?
yeah hahahah my bad :p
thanks
@Claudio are these notes from a course you're following or are you studying on your own?
@psie you were already given a counter-example, but perhaps the most instructive counter-example is the complex eponential $\mathbb{C}\rightarrow\mathbb{C}^{\times},\,z\mapsto\exp(z)$
I'm re-following the course since I passed the written exam last time and I thought I could maintain the vote for the next session and then do the oral part of it but I actually couldn't. But the course material expanded and changed a bit (they added a small measure theory part)
and so here I am, but actually these notes are mine not my professor's, this is just the same example of the book which I kind of expanded with some drawings and additional things hahahha
17:33
nice
the course seems well done
yeah the professor is super nice and explains wonderfully
I need a little of measure theory anyways, especially for some more rigourous QM
ah yes, the complex exponential, I will study it in closer detail
maybe some operator theory would be nice but time is limited hahaha
There are operator theory courses in the math department (master degree usually)
yeah I know that's why I firmly believe Ill never get to it
maybe one day I will finally read some parts of Teschl's book
18:13
@Jakobian ok. I get it.
18:24
My professor's says, that: a subset $A$ of a metric space $(X,d)$ is said to be compact in X iff every sequence in $A$ has a convergent subsequence that converges to a point in X which is not necessarily in A. However, a subset A of a metric space $(X,d)$ is said to be compact iff every sequence in $A$ has a convergent subsequence that converges to a point in A.
Is this distinction between the phrases, "a compact subset of a metric space" and "a subset is compact in a metric space X" very standard?
These are two definitions of the same thing
In other words, no
Also the first definition is simply wrong
are you sure you're quoting it correctly
it would be right if you assume that $A$ is closed, say
18:44
@BenSteffan umm yes I think...
that doesn't exactly sound like you're certain :)
Our professor gives an example : (a,b) is compact in [a,b] where a<b and [a,b] is a subspace of the metric space R equipped with the absolute value metric.
@BenSteffan :?)
@BenSteffan ?
if you tell pretty much anybody that $(a, b)$ is compact you will be laughed out of the room
I have no idea what your professor wants with this, but it is very much non-standard
18:50
@BenSteffan That's the reason why I'm posting it in here. But note the phrase (a,b) is not compact but it's compact in [a,b]
Did that make any sense?
@copper.hat Hey how are you? Long time no see...
I hope ur doing good
I see the distinction, but it's still just horrendous :/
@BenSteffan I agree LOL
no idea why anybody would do this
but yeah, it's very much non-standard
the standard definition here is "a subset of a metric space is compact if every sequence has a subsequence converging in the subset"
Lurie is very funny. "The construction of $\mathrm{Mod}_A^\mathcal{O}(\mathcal{C})^\otimes$ is fairly straightforward" proceeds to give a highly technical definition 2 pages long
@ThomasFinley makes no sense
In mathematics, a relatively compact subspace (or relatively compact subset, or precompact subset) Y of a topological space X is a subset whose closure is compact. == Properties == Every subset of a compact topological space is relatively compact (since a closed subset of a compact space is compact). And in an arbitrary topological space every subset of a relatively compact set is relatively compact. Every compact subset of a Hausdorff space is relatively compact. In a non-Hausdorff space, such as the particular point topology on an infinite set, the closure of a compact subset is not necessarily...
but compare with this concept
19:09
@BenSteffan classic Lurie
how am I going to talk about modules in my talk
I've been torturing myself for the majority of today and am this close to understanding what it means to state that an $\infty$-topos is a presentable $\infty$-category in which all colimits are van Kampen :)
it's a mixture of absolute torture and genuine beauty
I learned yesterday that an edge is cartesian for the codomain fibration $\mathrm{Fun}(\Delta^1,\mathcal{C})\rightarrow\mathcal{C}$ if and only if it classifies a cartesian square in $\mathcal{C}$
@Jakobian hehe... but guess what we have to follow our professor coz he will be grading in our exams...
Now, here's a general question:
19:14
so if $\mathcal{C}$ has pullbacks, the codomain fibration is cartesian; and it is always cocartesian
if you now pull this back along a map $\Delta^1\rightarrow\mathcal{C}$ classifying a morphism $f\colon x\rightarrow y$, you have a bicartesian fibration over the interval, which, by straightening-unstraightening both ways, classifies the pushforward-pullback adjunction $f_{\ast}\colon\mathcal{C}^{/x}\leftrightarrows\mathcal{C}^{/y}\colon f^{\ast}$
strikingly elegant imo
I found the following definitions for a bounded set in a metric space: Let A be a subset of a metric space (X,d).
Defn 1: A is bounded iff the diameter of A is finite (The defn of diam of a set is the supremum of all d(x,y)s such that $x,y$ are elements in the set)
Defn 2: A is bounded iff $\exists p\in X$ and a $B\in \Bbb R$ such that $d(x,p)\leq B,\forall x\in A.$
Are these two defns equivalent?
@ThomasFinley if the professor is giving incorrect definition then you should not follow them
@ThomasFinley what do you think?
@SoumikMukherjee I think they aren't equivalent. Am I right?
Coz nowhere in the 1st definition we are concerned with the elements in X. But the second defn takes it into account.
@ThomasFinley I won't say
@SoumikMukherjee ugh.... why not?
19:24
@ThomasFinley are we really not concerned with the elements? you even wrote the definition of diameter
@Thorgott that's really cool :o
@SoumikMukherjee We're concerned with the elements of only A in the 1st case
In the second case, an element of X is being taken into account.
@ThomasFinley If you think that the definitions are not equivalent then give an example where something is bounded according to one of the definitions and not bounded according to the other
@ThomasFinley so?
@SoumikMukherjee that's my Achilles hill. I'm bad at giving examples.
@SoumikMukherjee So they doesn't seem to be equivalent...
didn't realize you've moved on to another definition, sry :)
19:30
@BenSteffan :D
Few more removed messages and it'll seem like some heated arguments were going on :D
@ThomasFinley or maybe there aren't any examples to give?
@SoumikMukherjee no no everyone knows here I am an easy goin' guy, with a laid back approach in life.
:D
@SoumikMukherjee maybe. Let me try proving them to be equivalent.
Ok, I am able to show that Defn 2 implies Defn 1 by an application of trianjle inequality.
Showing definition 1 implies dedinition 2 seems difficult @SoumikMukherjee ?
Oh wait...
Ok, if diam (A) is finite then $\exists B\in \Bbb R$ such that for all x,y in A we have $d(x,y)\leq B$. Now, let $a\in A.$ This means that $a\in X\implies d(x,a)\leq B,\forall x\in A$. So, $\exists a\in X$ such that $d(x,a)\leq B,\forall x\in A.$
Conversely, if $\exists k\in X,B\in \Bbb R$ such that $d(x,k)\leq B$ for $x\in A$ then, $\forall x,y\in A$ we have, $d(x,y)\leq d(x,k)+d(k,y)=2B.$
@SoumikMukherjee Isn't this a valid proof of their equivalence?
19:45
Yes, except where you wrote 'a\in X\implies'.
@SoumikMukherjee why?
Did you mean, to say that "a\in X is not the reason why d(x,a)\leq B"?
Ok, then I get it.
It was a typo...
It's because a\in A but I just wanted to note that a\in X and $d(a,x)\leq B$
The implies should have been replaces by 'and'. Did I make any sense @SoumikMukherjee?
Define the cohomology of $X$ as a direct sum over the strata: $H^k(X) = \bigoplus_{i=0}^n H^k(X_i),$ where each $H^k(X_i)$ represents the cohomology of the $k_i$-dimensional manifold $X_i$. Does $H^k(X)$ in some fashion, encode contributions of the cohomology over the individual strata, or is this an innacurate conclusion?
@ModularMindset you defined it to encode this data perfectly
well, not the relations, but all of the strata cohomology
I don't know why you would make this definition
it seems redundant
if you want to measure how the information of the strata relates to the whole, you should consider something like $\varprojlim_i H^k(X_i)$. ...but then $\varinjlim_i H_k(X_i)$ strikes me as the better option
20:04
If I put the $k$ here, it's homology, but if I move it around, it's COHOMOLOGY! I am so SMRT! Yay!
(so gross...)
yes and the arrow then goes the other way around :)
Look, ma! I'm turning arrows around!
beat ya to it
"dualize, dualize, dualize", they chanted
Whoop-de-****-do.
20:05
dual eyes dualize dual lies
Oh, the arrows go the other way! Look at me! I'm so cool!
#deep
@XanderHenderson yes, and that's important
it's no good when the arrow goes to the left :(
@BenSteffan duel lies..
@BenSteffan Right-pointing arrows are an abomination.
my favourite pastime activity
20:07
Burn them with fire.
I believe this is the core idea of condensed mathematics :^)
it's kind of bizarre how computing $\infty$-colimits in $\mathrm{Cat}_{\infty}$ is in a way easier than computing $1$-colimits in $\mathrm{Cat}_1$
is it?
20:23
perhaps not if you scrutinize enough, but the fact that there's a workable description of how to compute colimits in $\mathrm{Cat}_{\infty}$ at all is still crazy
20:34
@BenSteffan Yes that is a fair point - I did calculate that the Euler char. is zero which should tell me that the cohomology (number of holes) is in some sense "balanced." Although I'm not sure what "balanced" really means yet
I do know about the betti numbers in this context
fwiw that Euler char. calcuation hints at a toroidal like structure
Is $X$ closed? What's the dimension?
@BenSteffan $X$ is closed and is dimension $2$
@SineoftheTime Have you studied Laurent series?
it can be generalized to $n$-dimensions but I haven't even tried to formally work in higher dimensions
Then $X$ is a torus.
20:48
ah okay that makes sense I guess
20:58
@BenSteffan You're a torus!
@XanderHenderson a circle, in fact
Are you having trouble with it?
@XanderHenderson You're a torus
Here's a problem from Spivak's Calculus on Manifolds, which comes right after the inverse function theorem (IFT).
> Problem Let $A\subset \mathbb R^n$ be an open set and $f:A\to\mathbb R^n$ a continuously differentiable injective function such that $\det f'(x)\neq 0$ for all $x$. Show that $f(A)$ is an open set and $f^{-1}:f(A)\to A$ is differentiable. Show also that $f(B)$ is open for any open set $B\subset A$.
Suggested solution For every $y\in f(A)$, there is an $x\in A$ with $f(x)=y$. By the IFT, there is an open subset $U\subset A$ and an open subset $V\subset\mathbb R^n$ such that $x\in U$ and $f(U)=V$. ...
Question Why does the IFT imply that $f(U)=V$? It says that $x\in U$ and $f(x)\in V$, but why would $f(U)=V$? (see the IFT below)
21:10
it's sort of implicit in the statement: If $f(V) \neq W$, then you of course cannot have an inverse $f^{-1}\colon W \to V$ :)
true
@BenSteffan that does explain it, thanks! :)
welcome :)
@SineoftheTime Yes, we did it today, but I didn't understand much
@Pizza what's not clear?
like here
Expand : $f(z) = \frac{1}{(z - 2)^2}$
in a Laurent series valid for $(a) |z| < 2, (b) |z| > 2$
21:24
I'm rusty in those things, give me a minute
That is, when the sign > < changes, the expansion also changes
@SineoftheTime Don't worry, I took this exercise from the book you recommended anyway
Exercise 6.27 is the standard one and very instructive. pag.188
I'll try to see that for a moment
Once you understand ex 6.27 you'll have no trouble doing the other exercises
21:47
Maybe I solved it
For case 1, I need to expand the function for values of z close to 0
That's too vague
so i write f(z) = 1/(2-z)²
@SineoftheTime What do you mean?
anyway then I would have applied the geometric series
The Laurent series in the first case should be valid in the disk $|z|<2$
@Pizza So which series do you find for $(a)$ ?
$\sum^{\infty}_{n=1} \frac{nz^{n-1}}{2^{n+1}}$
@SineoftheTime yes
@Pizza how did you find it? Do you already know the Laurent series of $\frac{1}{(z-1)^2}$ ?
21:57
no, it was necessary to derive
How did you find it?
$\frac{d}{dz} \left( \sum_{n=0}^{\infty} \frac{z^n}{2^{n+1}} \right) = \sum_{n=1}^{\infty} \frac{n z^{n-1}}{2^{n+1}}$
If it was 1/(//)³ then I also had to calculate the second derivative
Correct
So, $|z|<2$ is equivalent to $\frac{|z|}2 <1$. In $\frac{1}{(2-z)^2}=\frac 1{(2(1-z/2))^2}$
So, a part from the $1/4$, you're interested in the LS of $\frac 1{(1-z/2)^2}$. The formula you found differentiating the geometric series works when $|z|/2<1$
So you write the series and you're done
For $|z|>2$, note that $\frac 2{|z|}<1$ and then you manipulate $f(z)$ to be in the conditions to apply the geometric series when $\frac 2{|z|}<1$
22:11
$\frac{1}{(1 - w)^2} = \sum_{n=1}^{\infty} n w^{n-1}, \quad$ for $|w| < 1$
$f(z) = \frac{1}{(2 - z)^2} = \frac{1}{(2(1 - \frac{z}{2}))^2} = \frac{1}{4} \cdot \frac{1}{(1 - \frac{z}{2})^2}$
@Pizza correct
did you say that?
So now I can apply that formula
For the other case I understood that I have to write like this: $f(z) = \frac{1}{(z - 2)^2} = \frac{1}{z^2 \left(1 - \frac{2}{z}\right)^2}$
$\frac{1}{\left(1 - \frac{2}{z}\right)^2} = \sum_{n=1}^{\infty} n \left(\frac{2}{z}\right)^{n-1} = \sum_{n=1}^{\infty} \frac{n \cdot 2^{n-1}}{z^{n-1}}$
and then I multiply by 1/z²
22:23
$\sum_{n=1}^{\infty} \frac{n \cdot 2^{n-1}}{z^{n+1}}$
Is it clearer now?
Yes, thank you very much :)
glad to be helpful
23:22
In my book, they say that if $T$ is a bounded linear map between normed spaces $X$ and $Y$, then $\|Tx\|\leq\|T\| \|x\|$ holds. Here the norm on $T$ is the familiar operator norm, i.e. the $\sup$ over the unit ball of $\|Tx\|$. Looking at the proof of the inequality, it really seems to depend on the operator norm. E.g. does the inequality hold for the norm $\|T\|_\infty=\max\limits_{1\leq i\leq n}\sum_{j=1}^\infty |T_{ij}|$?
@ThomasFinley Hi Thomas, I drop by sporadically to see the quiet room.
Veni vidi vici
@psie Ehm...I didn't mean to write infinity in the sum there, it should be $n$.
psie yes the proof is specific to the operator norm. note e.g. that if \| \| is one norm on a space c > 0 then c \| \| is also a norm on the same space. so if X and Y and T are given but the norms are "up for playing around with" you can potentially get whatever you want as values for the ingredients in the left and right hand sides of that inequality.
@psie not exactly sure what you are asking, given a norm (or norms, really, for $X,Y$) then there is an induced norm on operators. However, the norm you gave is an operator norm for $\|x\|_\infty$.
23:27
psie: to ask whether the inequality holds or not in some altered set of facts, you should specify all of the norms, not just the norm you plan to use on T
psie: note that what "the operator norm" is depends on what norms you choose on X and Y, and that inequality would hold for any choices of norms on X and Y as long as T is bounded and you use the corresponding operator norm for ||T||.
ok, so which norm induces the norm $\|T\|=\sup\{\|Tx\|_b:x\in X,\|x\|_a\leq 1\}$?
we have talked elsewhere about how context is often used to supply meaning for symbols like \| \| that would otherwise be overloaded with subscripts, and that there are good reasons for this. but again, if you find yourself in a situation where you find yourself focusing on this stuff, i would feel very free to invent your own notation and decorate accordingly.
Here I equipped $X$ with $\|\cdot\|_a$ and $Y$ with $\|\cdot\|_b$.
e.g. [as one choice not a universal choice] writing \| \|_V for the norm on the normed space V, and letting B(X,Y) denote the space of bounded linear maps, and understanding this notation to include not just the set of maps but the operator norm induced from the norms on X and Y, you'd get: \|Tx\|_Y \leq \|T\|_{B(X,Y)} \|x\|_X true for any normed spaces X, Y
psie: i'm not sure i understand what X and Y even are in that example. I only understand that T, an operator from X to Y, apparently has (entries?) T_ij associated it, with i from 1 to n and j from 1 to infty.
@ILikeMathematics you will have to explain what all of these things are
chi_A is the characteristic polynomial of A
mu_A is the minimal polynomial of A
Other than that I think everything is clear
I don't follow the argument. How does $\mu_A(A) = 0$ show that $\chi_A(A) = 0$?
This does not follow from $\mu_A \mid \chi_A$ alone
...wait no, it does
sorry, I'm a bit tired
:)
It's 0:48AM after all, haha
If the argument works out, this seems to be pretty elegant after having proven the first two statements
It seems suspiciously simple to me, but maybe the essence of the proof is in proving that the zeroes of $\mu_A$ are the eigenvalues
23:56
@BenSteffan Yeah that's possible, the proof of that doesn't take long (1/4 page maybe) and it still seems to be more elegant than the proof Wikipedia gives using adjugates
I have developed all the calculations finally: $$ g = x^TA^TAx-2b^TAx \Rightarrow \nabla g = \partial_{\mathbf{x}}g = 2x^TA^TA-2b^TA, \text{ for } A \ne [0]_{m \times n}, b \ne \mathbf{0} $$
Proving $\chi_A(\lambda) = 0 \iff \lambda$ is an eigenvalue takes maybe 1/8 of a page
the problem is how do I find $x_0 \text{ s.t. } \nabla g = 0$
the result is in accord with this answer
however, my professor's solution is different, hence she's able to find an easy formula for $x_0$

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