#real-complex-analysis
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Then the question makes sense, and that's what the setting I interpreted it in
Well it's a result about representing elements of the dual of a Hilbert space in terms of the inner product
What you sent is an analog it seems like of the reisz representation theorem
Aren't they different?
Like Banach space doesn't always have inner product (such as violating parallelogram law), no?
Sorry I meant hilbert space. The theorem I learnt is if V is a Hilbert space then the map from V to V* given by v -> <v,-> is an isometric isomorphism
yeah its not that, C_0(X) is not a hilbert space under L^infty norm
a lot of sources just call this result riesz representation
But yeah, I agree that they look very similar.
Yeah that's why I meant to write "analog" and not "special case" here
i prefer to reserve riesz representation for the hilbert space result and call the one for C_0(X) riesz-markov-kakutani
but many texts will still refer to the C_0(X) result as riesz representation, fortunately it is clear enough from context usually to figure out what theyre saying
how about the C_c(X) version that gives Radon measure from a positive linear functional on C_c (the one that allows to deduce Lebesgue measure)?
i agree but it doesn't give you any purchase. completeness means the natural identification into the metric completion is surjective. to show this you literally need to show every cauchy sequence in your space converges to some point in your space
both of them tend to be called the same thing from my experience which is kind of annoying, but you will know which version to use from context as well
I see. Thx!
C_c(X) is dense in C_0(X) anyway so they arent that far off
yeah
Yes, it's just a setting in which the question "given a cauchy sequence its limit lives in the metric space" makes sense. Nothing changes or becomes easier in what you will have to do in order to show completeness itself
Let $\Phi:D\subset\mathbb{R}^k\to\mathbb{R}^k$ be 1-1 and $C^1$, where $D$ is a standard $k$-simplex or $k$-cell (for which the closure of $\operatorname{int}(D)$ equals $D$). I also know that open $\Phi(\operatorname{int}(D))$ is dense in compact $\Phi(D)$.\
What I struggle understanding is why $\partial\Phi(D)$ has Lebesgue measure zero as well as the equality $\operatorname{int}(\Phi(D))=\Phi(\operatorname{int}(D))$? Is this clear to you?
psie
The subset relation $\Phi(\operatorname{int}(D))\subset \operatorname{int}(\Phi(D))$ is easy, but the other subset relation seems harder.
psie
Um a
I am studying real analysis from abott book and it's summer so I got a lot of time,I am trying to prove theorems on my own...for how long should I try before giving up
True but positivity is a weaker condition than subspace continuity actually
Positivity is basically the same thing as continuity wrt the LF topology
Tho not quite
In the sense that something is continuous wrt LF topology iff it splits into positive and negative parts actually
strictly speaking im pretty sure the version for positive functionals gets you the general case, but knowing both is useful anyhow
Yeah
It’s a special case of a way more general thing actually
The Schwartz representation of distributions
Well tbf you prove that by appealing to this result
So it’s not actually more general
i was going to say
Anyway
yeah
i mean it is still a special case but yeah i dont see how youd get it without riesz-markov-kakutani
Yeah yeah
im under the impression a lot of those theorems actually rely on riesz-markov-kakutani for their proof
i remember discussing it in an analysis lecture but i dont think we got the proper statement
i have seen some other representation theorems for distributions in rudin though
It’s just that you can write any distribution as a locally finite linear combination of derivatives of radon measures
I mean all you do is you prove it for compactly supported using riesz rep
And appeal to a partition of unity
yeah ok ive seen something similar to that in rudin
its a partition of unity argument and i think something like that but i forgot the exact details
i dont remember if he explicitly mentions radon measures but if you have riesz-markov-kakutani i dont think its that huge of a leap
Something funny is I think that you should get a similar result for sections of a bundle
Which is quite funny because of how insanely general it is
that is beyond my scope so idk
the representation theorem is nice though since you really arent getting super insane objects when you look at distributions
everything feels very grounded that way
Yeah I agree
In the sense that
Or actually idk what the higher version of this statement is
The 0th order though is that
A 0th order distribution on C_c(M, E) is a radon measure on the base times a E^* valued measurable form
Higher order idk tho since it doesn’t fully make sense to take derivatives of distributional sections (or maybe it does eg with a connection, but you don’t get distributions valued in the same bundle)
interesting
how much of the standard theory can be generalized to this setting though
surely you at least want a notion of distributional derivatives
I think that you can do it with formal adjoints
And connections
You get a derivative of a distribution for every vector field
Without choosing vector fields you get derivatives from connections but they map into a different bundle
T^{(0, 1)}M otimes E
Nvm I finished them all, not as bad as I thought. I just didn’t know what value to induct on
Idk if this is the right spot for this but if $f(n) \in f(\lfloor n/2 \rfloor) + f(\lceil n/2 \rceil) + \Theta(n)$ then we can not necessarily say $f(n)$ is eventually non decreasing right?
Traffic
I have more on this but I don't want to repeat it or get noadsed bc that was annoying
Best intermediate level book for complex analysis
For quality problems/interview problems
And good coverage of theory
I believe Conway's "Functions of One Complex variable" s and Complex Analysis by Stein and Shakarchi are good
ive heard bad things of conway's book
the only four i know of are conway, s&s, ahlfors, and papa rudin, of which ive heard unanimously good things for s&s and ahlfors
Really? I just heard that it's good but I haven't read it personally
I guess go with Stein and Shakarchi then
i wouldnt know lol i havent read any of the four
same..
soon 🤞
same.. I have other topics I have to go through first though
im doing pointset topology and multivar real analysis, then ill do measure theory and complex analysis
so sometime over the summer
cool
I did pointset and measure theory
but im weak in algebra I need to do more of that
yeah ive been neglecting it but whatever :p
I found Conway’s book good, but I haven’t really read other complex analysis books, so I don’t know how it compares to them.
i see
ill add conway to my library actually
all the copies online are fugly though
like its not clean text

awesome.
nvm i found a clean copy
oh conway has 2 volumes
i wonder what his 2nd book is about
I heard the complex analysis book by Gamelin is very good tho I haven't read it. Actually, my school uses it for a complex analysis course.
let me check what the school im attending this fall uses
ahlfors
well at least in 2008 they did
his 2nd vol requires measure theory and functional analysis as a prereq.
i see
fields medalist 🐐
whats that
ahlfors won a fields medal
what!! 🫢
It's like a nobel prize for math.
i see
the most prestigious awards in math
every math professor is cracked 🐐
stein...
harmonic analysis goat and advised tao 