Understanding Functional Determinants in Mathematics

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Discussion Overview

The discussion revolves around the concept of functional determinants in mathematics, particularly in the context of differential operators and their properties. Participants explore the definition, implications, and applications of functional determinants, including their relation to eigenvalues and Gaussian integrals.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant questions the nature of functional determinants, specifically asking if Det(∂² + m) qualifies as one.
  • Another participant suggests that the discussion pertains to operators with a continuous spectrum.
  • Some participants express differing views on the assumptions made regarding the generalization of determinants to infinite-dimensional spaces.
  • There is a proposal that functional determinants arise in the evaluation of Gaussian integrals, linking them to the multiplication of eigenvalues after regularization.
  • A participant requests a more rigorous mathematical treatment of the relationship between operators and infinite-dimensional matrices.
  • A reference to a paper discussing determinants for differential operators in quantum physics is provided, which involves the use of zeta traces to derive determinants.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the definitions and implications of functional determinants, with multiple competing views and interpretations presented throughout the discussion.

Contextual Notes

There are limitations in the assumptions made about the nature of operators and the treatment of infinite-dimensional spaces, as well as unresolved mathematical steps regarding the derivation of functional determinants.

Klaus_Hoffmann
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I say what is a functional determinant ??

for example Det( \partial ^{2} + m)

is this some kind of Functional determinant?

then i also believe (althouhg it diverges ) that Det( \partial ^{2} + m)= \lambda_{1}\lambda_{2}\lambda_{3}\lambda_{4}...

(the determinant of a Matrix is the product of its eigenvalues)
 
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We're talking about an operator with a continuous spectrum, right?
 
My gut reaction is in agreement with Gokul's. Your assumption is risky, but interesting. Can you expand upon it? I disagree with your closing remark, but may have taken in out of context.
 
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Wouldn't call it 'risky' is just a direct generalization of what a Determinant should be on oo-dimensional spaces.

In fact an operator (integral or differential) is nothing but a oo-dimensional matrix with Trace and determinant, i believe these 'FUnctional determinants' appear when evaluating Gaussian integrals

\int \mathcal D[x]e^{ixAx^{T}}=B/ Det(A)

if 'A' is an operator Det(A) would be some kind of Functional determinant, which is just the multiplication (after regularization) of its Eigenvalues.
 
Klaus_Hoffmann said:
Wouldn't call it 'risky' is just a direct generalization of what a Determinant should be on oo-dimensional spaces.

In fact an operator (integral or differential) is nothing but a oo-dimensional matrix with Trace and determinant, i believe these 'FUnctional determinants' appear when evaluating Gaussian integrals

\int \mathcal D[x]e^{ixAx^{T}}=B/ Det(A)

if 'A' is an operator Det(A) would be some kind of Functional determinant, which is just the multiplication (after regularization) of its Eigenvalues.
I noticed your comment that from the point of view of operator theory, an integral or derivation is nothing by an oo-dimensional matrix. I can intuitively come close to that conclusion, but I would love to see a more rigorous mathematical treatment, can you post one or recommend a good introductory book giving such a treatment?

Thanks
 
Here's the paper I learned something like this from:

On the concept of determinant for the differential operators of Quantum Physics http://arxiv.org/abs/hep-th/9906229"

It requires using the zeta trace of the function (i.e. \zeta(s)=\sum_{n}\lambda_{n}^{-s}) when you take it's derivative and then set s=0, you get the sum of the logarithms of the eigenvalues of the operator. You exponentiate this, and you get your determinant.
 
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