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00:15
@robjohn for what? wealth kutch or watchet hulk?
00:47
"Let $H$ be a separable real Hilbert space with inner product $\langle \, , \,\rangle_H$ and $H^\ast$ its dual. Let $V$ be a reflexive Banach space, such that $V \subset H$ continuously and densely. Then for its dual space $V^\ast$ it follows that $H^\ast \subset V^\ast$ continuously and densely."

The embedding $H^\ast \hookrightarrow V^\ast$ is given by the obvious restriction of $\langle h, \cdot \rangle$ to elements of $V$, and we proved that it's continuous, but I don't see how to prove density. Anybody have a clue?
01:10
what does continuously mean here
subspace inclusions are always continuous
V has it's own inner product
it's a subspace set-theoretically but has a different norm etc
what a horrible set-up
7
Q: Confused about proof that diameter of a closure of a set is the same as the diameter of the set.

user110503Definition Let $E$ be a nonempty subset of a metric space $X$, and let $S$ be the set of all real numbers of the form $d(p,q)$, with $p,q \in E$. The supremum of $S$ is called the diameter of $E$. Theorem If $\bar{E}$ is the closure of the set $E$ in a metric space $X$, then $ \text{diam} \ \bar...

In mathematics, a rigged Hilbert space (Gelfand triple, nested Hilbert space, equipped Hilbert space) is a construction designed to link the distribution and square-integrable aspects of functional analysis. Such spaces were introduced to study spectral theory in the broad sense. They bring together the 'bound state' (eigenvector) and 'continuous spectrum', in one place. == Motivation == A function such as the canonical homomorphism of the real line into the complex plane x ↦ e i x...
enjoy
How do I prove the infinite case? Is it enough to say if diam(Y)=$\infty$.
01:14
oh yeah, this is some horrible stuff physicists do, right?
V is only Banach, so Riesz rep won't help, meh
@Thorgott PDE theorists in general
$Y\subset of \overline Y$
@Thorgott I tried riesz anyways for the hilbert space and didnt manage
This gets even worse directly afterwards
diam(Y)=$\infty <diam(\overline Y)\implies diam(\overline Y)=\infty$
Is my argument true for infinite case?
yes, your argument works
but the argument in the question you linked also works for the infinite case
01:17
Thank you
We somehow force operators such as the laplacian to be continuous operators into the dual, i.e. $\Delta \colon H^1(D) \rightarrow H^1(D)'$
and we define PDEs as ODEs with values in hilbert spaces with differential operators being "continuous"
and then we throw a stochastic integral over some operator-valued stochastic process onto that
I'm very much lost in layers of abstractions there
But somehow satisfied that this also happens in hard analysis lol
this set-up is ugly
the obvious diagram with $V,H,V^{\ast},H^{\ast}$ need not commute
only analysts would do this
I think this should not commute
you mean that the inclusion of $V$ into $V^\ast$ is equal to $V \hookrightarrow H \simeq H^\ast \hookrightarrow V^\ast$?
yeah, it needn't be
but I want it to
The right map is "designed" not to be an isomorphism
01:27
even the set-up on Wikipedia is nicer than this
Since riesz would give an isomorphism in the hilbert space case
even they don't give the subspace a different inner product
friendship with base case ended
hilbert space case is now my best friend
this is the worst thing since immersed submanifolds
This is beautiful
Note that since H is a separable inclusion into $V^\ast$ this is a separable as well and so $V$ is separable
beautiful argument, very straightforward
looking forward to learning these concise and intuitive theorems and their proofs
... by heart, since it's an oral exam
remembering the sheer number of conditions should be worth an A
incidentally, that was basically how it worked with my last oral exam with the same professor, in stochastic filtering theory
01:35
@user2103480 mood
the funny thing is that this stuff is still analytically easier than probability theory III which I skipped
tfw I haven't done any serious analysis in over a year
comes back fast after some trouble
and least you don't forget as much analysis as I forget algebra in the span of mere months
01:52
@Thor at least two remarks I want to mark with LOL
@Thorgott uhh isn't the setup worse
they explicitly mention that $\Phi$ is a topological vector space with continuous inclusion map. Having just a different hilbert space is nice
well, you can restrict the inner product of $H$ to $\Phi$ at least
instead of putting a different inner product on there
But... that's... not the point
that would be way too nice
yeah..
with this setup you can consider consider continuous maps on a compact space as continuously embedded into, say, $L^2$
and if you want a hilbert space, you can take sobolev spaces included in $L^2$
02:05
but why
Although the space would probably need some conditions for continuous maps being dense in $L^2$ so uh just take some nice subset of $\Bbb R^d$
@Thorgott it gives us some kinds of solutions to PDEs uhh I'm not deep into the phenomenology yet
02:29
I'm not reading anything that came before this but I can answer PDE questions if you ask me again
Do gelfand triples count as PDE to you?
What's that
Doesn't matter for the question I have, since it's about steps in the definition. Since you don't want to read anything above I quote myself
"Let $H$ be a separable real Hilbert space with inner product $\langle \, , \,\rangle_H$ and $H^\ast$ its dual. Let $V$ be a reflexive Banach space, such that $V \subset H$ continuously and densely. Then for its dual space $V^\ast$ it follows that $H^\ast \subset V^\ast$ continuously and densely."

The embedding $H^\ast \hookrightarrow V^\ast$ is given by the obvious restriction of $\langle h, \cdot \rangle$ to elements of $V$, and we proved that it's continuous, but I don't see how to prove density. Anybody have a clue?
(The gelfand triple is $(V, H, V^\ast)$)
02:44
Doesn't look like PDE, but maybe Sobolev embedding fits somehow.
Hm, not sure
It's a kind of approach to pde. The context of this definition is proving the following theorem in that setup
For $V = H^1((0,1))$ and $H = L^2((0,1))$ we can take $A$ as the laplacian by "extending" it to a map from $H^1((0,1))$ to its dual
going to sleep now, bye bye
03:26
Sure this is a standardish setup I guess you're working with parabolic equations
@user2103480 Thank you for respecting my demands
@user2103480 If $H^*$ is not dense in $V^*$ then $V = V^{}$ is not dense in $H = H^{}$ by Hahn Banach, yes?
Contrapositive
Could someone have a look at some early Spivak proofs of mine, just to make sure I understand the style that he wants for these very 'basic' proofs?
Dr. Shifrin!
03:56
Oh oh ...
Give a proof.
Okay, I'll go with (v) from problem 1. Proving that $x^n - y^n = (x - y)(x^{n-1} + x^{n-2}y \dots + xy^{n-1}).$

Let us start with $(x - y)(x^{n-1} + x^{n-2}y \dots + xy^{n-1})$. By (P9), we have that $x(x^{n-1} + x^{n-2}y \dots + xy^{n-1})+(-y)(x^{n-1} + x^{n-2}y \dots + xy^{n-1}) = (x^{n} + x^{n-1}y \dots + xy^{n-1}) - ((x^{n-1}y + x^{n-2}y^2 \dots + xy^{n})$. Then, by P3, we see that $(x-y)(x^{n-1} + x^{n-2}y \dots + xy^{n-1}) = x^n - y^n$
I think these early proofs may sometimes be more tricky than later proofs, since you have to be very careful
Oh, i told you to skip the first few chapters.
You did?
Yup, I did. The first few chapters have issues. To make sense of $\dots$ takes summation or induction, which come later. I trust you to go to later chapters.
You should read, of course, but you know this stuff.
There are a few interesting problems, but move on.
I can look up a few, maybe, that you should ponder.
Okay, I'll go to the end of chapter 3 to do the exercises?
Yes, please
04:08
setting aside English issues, am I missing the point with what this person is saying? i feel like i'd just be repeating myself right now: math.stackexchange.com/questions/4002718/…
OK, problems like Chapter 1: #6, 12(v), and using the triangle inequality (and being sure not to do backwards proofs) will be important. You can do 20, 21, 22, 23 if you want to know keys in Chapter 5. Chapter 1 #7 and Chapter 2 #22 are interesting if you've never done them. Chapter 2 #27, 28 are good puzzler problems, but not relevant to calculus.
8 hours ago, by Ted Shifrin
I'm getting meaner and meaner to the people who post homework/exam questions with zero effort.
agree
Thanks, I'll do those then
there's the meta post which says "don't just vote to close on people's first posts" but...hard to feel like they deserve more of a response than that when they post a problem verbatim
@Semiclassic You agree that I'm meaner?
04:10
hmm
agree that they deserve it
Yup.
I don't vote to close, but I ask for effort. If I see none later, I may vote to close.
that's probably better, yeah
Wait, can I use induction for Chap. 1., #6?
I saw that induction is introduced later, so that's why I am asking
but, to quote from the above (cleaning up some of the English):
That is a reasonable approach Ted. A lot of folks like to shoot first.
Lots of wind & rain here atm.
04:14
@polite That's a problem with the beginning of Spivak. It's hard to sort it out with infinite rigor, but I like the book regardless.
So is that a yes?
"Given an $n$-by-$n$ matrix $A$ of order n, its characteristic polynomial is of degree $n$ and so it will have $n$ roots (fundamental theorem of algebra). Let this root be $\lambda_1$ and its corresponding eigenvector be $e_1$. Now consider $K=(\text{Span}\{e_1\})^\perp$. Now again we have an $(n−1)$-degree characteristic polynomial. So again (by above) we have an eigenvalue and corresponding eigenvector..."
Hmm
We need invariance ...
04:16
The question I asked in response was "in what sense is the lower-degree polynomial the characteristic polynomial of a matrix?"
as in, characteristic polynomial of what matrix
it's not the characteristic polynomial of $K$, at least not naively. if you make a matrix whose column space is the orthogonal complement of $e_1$, then that'll be $n$-by-$(n-1)$ and so not have a characteristic polynomial
You need that hyperplane to be invariant. E.g., a symmetric map.
Well, this is in the context of Hermitian or real symmetric matrices. So I think that can be granted.
@politeproofs always a good idea to look for simplifications before starting: if $y=0$ the equality is immediate, otherwise you can divide across by $y^n$ and then the problem reduces to showing $t^n-1 = (t-1)(t^{n-1}+\cdots + 1)$ which follows from the geometric series formula.
Let me do a fun proof: We wish to show that $\forall n \in \mathbb{Z}, \forall (x,y) \in \{ (x,y) \in \mathbb{R}^2 : 0 \le x < y \}, x^n < y^n.$

Suppose that, on the contrary, there is some positive integer $m$ for which this is not true. By the well-ordering principle, which we can take as an axiom, we know there is a least positive integer $m$ for which it is not true. Then, $x^{k} < y^{k}$ for $1 \le k < m$. Then $m = k + 1$, and so notice that $y^m = y^{k+1} = y^k y > x^k y > x^{k+1},$ which is a contradiction.
This is a proof for #6 without using induction
I hope it works, since I didn't think too hard about it
04:23
@politeproofs surely you can use the $x^n-y^n=...$ result to show it directly?
@copper.hat No?
why not?
Or at least I don't follow how you mean
$x^n-y^n=(x-y)(x^{n-1}+...+y^{n-1})$?
123
123
Hello Guys..
04:25
@Semiclassical Did you typo?
no, i lazied
fixed typo
if $x^n-y^n = (y-x)(\text{ stuff from above })$ then $x^n,y^n$ have the same order relation as $x,y$.
That was Spivak’s intention, yes.
What about my proof?
It avoids induction, which is nice
No it doesn't.
04:26
:(
you mean i have to think :-)
Well ordering is equivalent.
Induction uses well ordering, but Induction is a theorem that we have to prove
They are logically equivalent.
if it's equivalent, then it hardly matters that you used one as a definition and not the other
04:27
Dr. Shifrin, you are so hard to impress!
proof is fine, but induction in disguise.
Yup. Just ask Semiclassic.
transfinite induction will never be natural for me.
(Hardly matters in terms of the logical substance, i mean. can matter in how quick it is to write the proof)
the best proofs (imo) are those that make the result 'obvious'.
that way i can remember them
04:29
it's more restricted but i like visual 'proofs' when they're available
i have a preference for visual too.
I must be the only person in the world that dislikes visual proofs. :)
proof by picture was what my advisor called it
like the visual demonstration that odd integer sequences sum to squares
Only because I have a bad history of them coming back to haunt me later
04:30
i think rudin dislikes visual.
I heard there was not a single visual in Hoffman & Kunze
i mean, they're definitely very limited in what they can accomplish
And I don't mean proofs
Not a single picture, period.
Which, for linear algebra, is an interesting approach to say the least.
rockafellar is another lad who eschews pictures
which is odd, because convex is just a step away from geometry
Rudin has no single picture. Even my algebra book has hundreds of figures.
04:33
I like pictures, sometimes. i.e. illustrations of $\sup$ and $\inf$ were helpful when I first learnt about them
Even if you're not a visual learner, more people are and you should learn to draw and understand them.
well, sometimes a picture gives a fast way of understanding what a paragraph of words takes to elucidate.
it's just another part of the tool kit
Pictures alone do not a proof make, but usually they give informative intuition. Not alwsys.
apparently pontryagin developed his maximum principle when blind.
i can hardly follow it with sight.
right tool for the right job.
04:35
Euler was basically blind for the last 17 years of his life and he was still productive but
1) he had scribes
and 2) he was Euler
The proof for turning the sphere inside out (with all the models in 1010 Evans) was figured out by Morin, a blind mathematician.
amazing really.
i like those models.
They were stolen.
I guess Smale proved it. Blind Morin visualized it,
04:37
i found smale incomprehensible.
i mean his lectures.
He's a great character, super smart. Not a great teacher.
It's quite interesting that the visual idea was already in Smale's proof.
i stumbled on a lot of such folks.
I actually forget, a Balarka.
i am never quite sure of the accepted protocols in a chat room. do people say hi or is that considered noisy?
not that accepted protocol ever limited me...
04:40
Hi @copper.hat :)
@TedShifrin in truth, i wonder how much being blind is an obstacle to visualizing things which can't actually be visualized in everyday 3D space
If you were to read Smale's proof from a geometric point of view, he wants to break S^2 as upper + lower hemisphere, and turn the hemispheres inside out while keeping something fixed along a neighborhood of the equator.
@dc3rd hi :-)
This requires making a neighborhood of the equator flexible by twisting it around a lot
This was the main geometric idea that was exploited later by sphere eversion visualizers
must have incredible visio-spatial development
04:42
TBH, I never grokked it.
@Semiclassic But talent to communicate the pictures to sighted persons.
@TedShifrin yeah
The Morin-Francis pictures are excellent. It's surprisingly complicated to see everything that is going on at once.
Charles Pugh built the (now stolen) models.
I'm so not a topologiet.
04:46
he was my quals advisor :-)
@TedShifrin Using chicken fence, right?
Chicken wire, yeah. There is a movie somewhere.
Yup, I have seen it
pugh wrote a proof of the rademacher theorem for me, i have it somewhere :-)
Pugh would have been my adviser if Chern hadn't gotten stuck.
04:48
really?
Oh, I wrote notes for his course with that. But long gone.
i think pugh would have been more fun :-)
Yeah, I loved his dynamical systems course my first year. We became good food/wine buddies.
i liked him because he was very down to earth.
he advised some of my irish friends as well.
Chern was a sweet and generous man. His wife liked me because I cooked gourmet food for them :)
04:50
:-)
Is this the very short proof of the reverse $\triangle$ inequality? $|x - y| + |y| \ge |x - y + y|$ by $\triangle$ inequality, then that $= |x| \Rightarrow |x - y| + |y| \ge |x| \iff |x-y| \ge |x| - |y|$?
Yup. Good!
which shows that the absolute value is Lipschitz with rank 1.
(Only took.... 20 minutes!!)
Lipschitzness of the distance function is one of my favorite facts in mathematics.
04:53
you need a solid foundation. a lot of people (even rather famous folks) do not have solid foundations.
All over my books I have sequential problems trying to train people to use what has been established and not to go back and start over. @Balarka will so testify.
Was that directed at me?
I like that Lipschitz functions are differentiable ae.
@politeproofs yes :-).
It's a cool fact but I feel that I rarely use it
Oh trust me I know. That's why I am so obsessive when I don't understand a single sentence that I read in a book
It might even be a side comment, but as soon as I don't understand, I stress over it :(
04:55
@politeproofs i understand, but don't let that force you to learn sequentially.
You overdo that, polite. I realize you can't help it, but work on it.
trust yourself, its ok to have a little forward debt :-)
It's the aspiration to perfection. I think all us budding mathematicians have it when looking up to people like the senior folks in this room........ :)
unfortunately i am neither budding nor a mathematician...
you're too humble Copper.....from the help you've provided me in the past you are quite the mathematician.....you've graduated beyond budding.
you're in the arena

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