Diagonalization of Integral Operators: Challenges and Considerations

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Discussion Overview

The discussion revolves around the diagonalization of integral operators, particularly focusing on the challenges and considerations when extending the concept from finite-dimensional self-adjoint transformations to integral operators. Participants explore the necessary adaptations for proving diagonalization in this context and the implications of compactness.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant asserts that any self-adjoint transformation on a finite-dimensional vector space can be diagonalized and questions how this applies to integral operators.
  • Another participant suggests focusing on the diagonalization of compact self-adjoint operators and references the spectral theorem as a generalization applicable to integral operators.
  • It is noted that proving an integral operator is compact is essential, potentially using the Ascoli-Arzelà theorem, and that Fredholm operators may be relevant.
  • A participant points out that if integral operators are not compact, other diagonalization theorems exist, though they may be more abstract and not directly analogous to finite-dimensional cases.
  • Concerns are raised about the operator Tf(x)=xf(x) on L^2[(0,1)], which is self-adjoint but lacks eigenvalues, indicating a breakdown in applying finite-dimensional proofs.
  • There is a request for clarification on what it means for an integral operator to be compact and how integral operators fit into the broader discussion of diagonalization.

Areas of Agreement / Disagreement

Participants express differing views on the applicability of diagonalization theorems to integral operators, particularly regarding compactness and the existence of eigenvalues. The discussion remains unresolved, with multiple competing perspectives on how to approach the problem.

Contextual Notes

Limitations include the need for clarity on the definitions of compactness in the context of integral operators and the implications of non-compact operators on diagonalization. The discussion also highlights the dependence on specific mathematical theorems and conditions that may not be universally applicable.

the_kid
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So, obviously one can diagonalize any self-adjoint transformation on a finite dimensional vector space. This is pretty simple to prove. What I'm curious about is integral operators. How does this proof need to be adapted to handle integral operators? What goes wrong? What do we need to account for? Are there any corresponding theorems I might want to look at?
 
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What you want to look at is diagonalization of compact self-adjoint operators. See: http://en.wikipedia.org/wiki/Spectral_theorem#Compact_self-adjoint_operators
This theorem is a direct generalization of the theorem in finite dimensions.

So in order to apply this theorem, you will want to prove that your integral operator is compact. This will use some form of the Ascoli-Arzela theorem. But you want to look at Fredholm operators: http://en.wikipedia.org/wiki/Fredholm_integral_operator

If your operators are not compact, then there are other diagonalization theorems that may apply. But those theorems are more abstract and are not (immediately) of the form as the theorem in finite dimensions. But in any case, it is nice to know that any self-adjoint operator can be diagonalized if you interpret diagonalization suitably.
 
micromass said:
What you want to look at is diagonalization of compact self-adjoint operators. See: http://en.wikipedia.org/wiki/Spectral_theorem#Compact_self-adjoint_operators
This theorem is a direct generalization of the theorem in finite dimensions.

So in order to apply this theorem, you will want to prove that your integral operator is compact. This will use some form of the Ascoli-Arzela theorem. But you want to look at Fredholm operators: http://en.wikipedia.org/wiki/Fredholm_integral_operator

If your operators are not compact, then there are other diagonalization theorems that may apply. But those theorems are more abstract and are not (immediately) of the form as the theorem in finite dimensions. But in any case, it is nice to know that any self-adjoint operator can be diagonalized if you interpret diagonalization suitably.

Thanks so much for the help, micromass. The proof for the finite dimensional case relies on the fact that an eigenvalue of the operator can be found (at least the proof I'm familiar with). The operator Tf(x)=xf(x) on L^2[(0,1)] is obviously self-adjoint but has no eigenvalues. So, trying to apply the finite dimensional proof would break down here. Thus, this leads us to demanding that our operator T be compact--one can prove that it them must have an eigenvalue. Is this all correct? My question is where do integral operators fit into this discuss? What does it mean for an integral operator to be compact? Thanks for your help!
 
Anyone?
 

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