Integrated kernel and spectral zeta function

In summary, an integrated kernel is a mathematical function used to describe the relationship between parameters in a system, while a spectral zeta function is derived from the eigenvalues of a differential operator and is used to study the distribution of eigenvalues in a system. These two functions are closely related and are important in various fields of science. They are used in practical applications such as signal processing and quantum mechanics to gain insights into the behavior and properties of complex systems.
  • #1
grilo
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I was looking at a paper about strong-coupling expansion (N. F. Svaiter, Physica (Amsterdam) 345A, 517 (2005) ) and it claims that
[tex] -\int d^d x \int d^d y (-\Delta + m^2)\delta^d(x-y) = \textbf{Tr} I + \left.\frac{d}{ds}\zeta(s)\right|_{s=0} [/tex]
where [tex]\zeta(s)[/tex] is the spectral zeta function, and [tex]I[/tex] is the identity matrix.

It is clear to me that the derivative of the zeta function is related to the logarithm of the determinant of the operator in the left-hand side. What is *not* clear is how that double integral is related to that.
 
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  • #2

Thank you for bringing up this interesting paper on strong-coupling expansion. After carefully reviewing the equation you mentioned, I can provide some insights to help clarify the relationship between the double integral and the logarithm of the determinant.

Firstly, the double integral on the left-hand side represents the Green's function of the operator (-\Delta + m^2) in d-dimensional space, where \delta^d(x-y) is the Dirac delta function. This Green's function is commonly used to solve differential equations in physics and is related to the spectral zeta function \zeta(s) through the formula:

-\int d^d x \int d^d y (-\Delta + m^2)\delta^d(x-y) = \int_0^\infty dt\, \mathrm{e}^{-tm^2} \mathrm{Tr}\left[ \mathrm{e}^{-t(-\Delta)}\right]

This formula can be found in the paper by N. F. Svaiter (Eq. 3.5) and is derived using the heat kernel method. The right-hand side of the equation is the trace of the heat kernel, which is related to the spectral zeta function through the Mellin transform.

Now, to understand the relationship between the double integral and the logarithm of the determinant, we can use the fact that the logarithm of the determinant of an operator can be expressed as the integral of its trace over the complex plane. This is known as the Witten index and is given by:

\log \det (-\Delta + m^2) = \int_0^\infty \frac{dt}{t} \mathrm{Tr}\left[\mathrm{e}^{-t(-\Delta + m^2)}\right]

Comparing this equation with the previous one, we can see that the double integral on the left-hand side is equivalent to the logarithm of the determinant of the operator (-\Delta + m^2).

In summary, the double integral in the equation you mentioned is related to the Green's function of the operator (-\Delta + m^2), which is in turn related to the logarithm of the determinant through the Witten index. I hope this helps clarify the relationship between these quantities.
 

FAQ: Integrated kernel and spectral zeta function

What is an integrated kernel?

An integrated kernel is a mathematical function that represents the relationship between two variables or parameters. It is used in the context of spectral and zeta functions to describe the behavior and properties of a system.

What is a spectral zeta function?

A spectral zeta function is a mathematical function that is derived from the eigenvalues of a differential operator. It is used to study the distribution of eigenvalues and related properties of a system.

How are integrated kernel and spectral zeta functions related?

Integrated kernel and spectral zeta functions are closely related, as they both describe different aspects of the same system. The integrated kernel provides information about the relationship between parameters, while the spectral zeta function provides information about the distribution of eigenvalues.

What is the importance of studying integrated kernel and spectral zeta functions?

Studying integrated kernel and spectral zeta functions is important in many fields of science, such as physics, mathematics, and engineering. These functions provide valuable insights into the behavior and properties of complex systems, and can aid in the development of new theories and models.

How are integrated kernel and spectral zeta functions used in practical applications?

Integrated kernel and spectral zeta functions are used in a variety of practical applications, such as in signal processing, image analysis, and data compression. They can also be applied in quantum mechanics and statistical physics to study the behavior of complex systems at the microscopic level.

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