Functional analysis, ortho basis, weakly convergent

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SUMMARY

This discussion focuses on functional analysis, specifically the concepts of weak convergence and orthonormal bases within Hilbert spaces as presented in Haim Brezis's textbook. The participants clarify that every Hilbert space possesses an orthonormal basis, denoted as (e_n), and discuss the implications of weak convergence, concluding that (e_n) weakly converges to zero using Parseval's theorem. Additionally, they address the differences between l^2 and L^2 spaces and explore the conditions for strong convergence, emphasizing the boundedness of sequences.

PREREQUISITES
  • Understanding of Hilbert spaces and their properties
  • Familiarity with weak and strong convergence concepts
  • Knowledge of Parseval's theorem in functional analysis
  • Basic understanding of l^2 and L^2 spaces
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  • Study the implications of weak convergence in Hilbert spaces
  • Learn about Parseval's theorem and its applications in functional analysis
  • Investigate the differences between l^2 and L^2 spaces in detail
  • Explore the concept of bounded sequences in the context of functional analysis
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Students and professionals in mathematics, particularly those studying functional analysis, as well as researchers interested in the properties of Hilbert spaces and convergence concepts.

Fellowroot
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Homework Statement



problem%205.26_zpsxlq56zgm.png


This is a problem from Haim Brezis's functional analysis book.

Homework Equations

The Attempt at a Solution



I'm assuming (e)n is the vectors like (e)1 = (1,0,0), (e)2=(0,1,0) and so on.

We know every hilbert space has an orthonormal basis.

I also need to know the difference between l^2 and L^2 spaces. I know that this might not be much of a solution, but I'm really stuck.
 
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You could start by stating clearly what weak convergence implies (here in the context of a Hilbert space).

Once you have a clear understanding of weak convergence, 1. and 2. shouldn't be too difficult.
As (##e_n)## is an orthornormal basis of the Hilbert space H, you can use ## \forall x \in H: x= \sum_{i=1}^\infty <x,e_i>e_i## (series converging in the norm of the Hilbert space).
And also ##\forall x \in H:|x|²=\sum_{i=1}^\infty |<x,e_i>|²##.
 
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Thanks.

I think I now have the answer to part 1 because you can use an idea from Parseval which automically shows that en weakly converges to zero. But I'm still not sure about what to do with an and un. I also think the boundedness of an plays a role.

For part 2 I know that this is showing strongly convergence, but I don't really get how to show abs(un). Do I just pretend that the summation is really a sequence?
 
Fellowroot said:
I think I now have the answer to part 1 because you can use an idea from Parseval which automically shows that en weakly converges to zero.
Yes, that is correct.
Fellowroot said:
For part 2 I know that this is showing strongly convergence, but I don't really get how to show abs(un). Do I just pretend that the summation is really a sequence?
You can compute an upper bound for ##|u_n|##, making use of the fact that ##(a_n)## is bounded, and ##(e_n)## orthonormal.
You can use that, in general, you have:
##|\sum_{i=1}^n b_ie_i|²=\sum_{i=1}^n |b_i|²## (where ##(b_i)## are any numbers), because ##(e_n)## is orthonormal.
 

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