Diagonalization of Integral Operators: Challenges and Considerations

In summary, the spectral theorem for compact self-adjoint operators states that any self-adjoint operator can be diagonalized if the operator is compact. This theorem is a direct generalization of the theorem in finite dimensions, and requires a proof that the operator is compact.
  • #1
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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  • #2
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.
 
  • #3
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!
 
  • #4
Anyone?
 

1. What is diagonalization of operators?

Diagonalization of operators is a mathematical process used to simplify the representation of linear operators in a vector space. It involves finding a basis of the vector space in which the matrix representation of the operator is diagonal, meaning that it has mostly zeros except on the main diagonal.

2. Why is diagonalization of operators important?

Diagonalization of operators is important because it simplifies calculations involving linear operators. It allows for easier manipulation of the operators and their corresponding matrices, making it easier to solve problems in a vector space.

3. How is diagonalization of operators done?

Diagonalization of operators is done by finding a basis of the vector space in which the matrix representation of the operator is diagonal. This involves finding the eigenvalues and eigenvectors of the operator and constructing a diagonal matrix using these values. The eigenvectors then form the basis of the vector space.

4. Can all operators be diagonalized?

No, not all operators can be diagonalized. An operator can only be diagonalized if it is a square matrix and has a complete set of eigenvectors. If an operator does not have a complete set of eigenvectors, then it cannot be diagonalized.

5. What are the applications of diagonalization of operators?

Diagonalization of operators has various applications in physics, engineering, and other fields of science. It is used to solve differential equations, find the normal modes of oscillation in mechanical systems, and analyze quantum systems. It is also used in data compression and signal processing techniques.

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