Fourier series of a train of gaussians

In summary, the conversation is about the author using the fact that the Fourier series of a Gaussian train has a specific relationship, but the listener is confused about how to compute the Fourier integral for the train. They are questioning whether the integral and summation can be swapped and are looking for hints or clarification.
  • #1
mnb96
715
5
Hello,
I am following a proof in a book, in which the author makes use of the fact (without proving it) that the Fourier serie of a train of Gaussians is given by the following relationship:

[tex]\mathcal{F} \{ \sum_{n=-\infty}^{+\infty}\frac{1}{\tau}e^\frac{-\pi(x-n)^2}{\tau^2} \} = \sum_{m=-\infty}^{+\infty}e^{-\pi\tau^2 m^2}\cos(2\pi mx)[/tex]

where n is an integer. I understand that the Gaussian train is a periodic function with period=1. However I don't quite understand how to compute its Fourier integral:

[tex]\int_0^{1} \left( \sum_{n=-\infty}^{+\infty}\frac{1}{\tau}e^\frac{-\pi(x-n)^2}{\tau^2} \right)e^{-i2\pi\ mx}dx[/tex]

because Gaussians do not have a primitive function that allows computing that integral between [0,1].

Any hint?
 
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  • #2
The question is whether integral and summation can be swapped, since beside that we only have a constant factor and two exponential functions which we can integrate. For that we need uniform convergence and integrability on ##[0,1]##.
 

What is a Fourier series of a train of Gaussians?

A Fourier series of a train of Gaussians is a mathematical representation of a periodic function that is composed of multiple Gaussian functions. It can be used to approximate a wide range of periodic functions with a high degree of accuracy.

What is the significance of using Gaussians in a Fourier series?

Gaussian functions have many desirable mathematical properties, such as being infinitely differentiable and having a compact support. These properties make them well-suited for use in a Fourier series to approximate various periodic functions.

How is a Fourier series of a train of Gaussians calculated?

To calculate a Fourier series of a train of Gaussians, the coefficients of the series are determined by taking the inner product of the function with each of the basis functions, which in this case are Gaussian functions. The coefficients are then used to construct the series, which will approximate the original function.

What are some applications of Fourier series of a train of Gaussians?

Fourier series of a train of Gaussians have a wide range of applications in various fields, such as signal processing, image processing, and data compression. They can also be used to model physical phenomena, such as heat transfer and fluid flow.

How accurate is a Fourier series of a train of Gaussians?

The accuracy of a Fourier series of a train of Gaussians depends on the number of terms used in the series. Generally, the more terms included, the more accurate the approximation will be. However, even with a small number of terms, a Fourier series of a train of Gaussians can provide a good approximation of a periodic function.

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