Gaussian Summation - Find Out the Result!

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SUMMARY

The discussion centers on the evaluation of the discrete Gaussian summation, specifically the series \(\sum_{n=0}^{+\infty}e^{-\frac{n^2}{a}}\). The result is confirmed as \(\frac{1 + \vartheta_3(0,e^{-1/a})}{2}\), where \(\vartheta_3(z,q)\) is a theta function defined as \(\vartheta_3(z,q) = \sum_{n=-\infty}^\infty q^{n^2} e^{2\pi i z}\). The discussion highlights the use of mathematical tools such as Wolfram Alpha, Mathematica, and MATLAB for evaluating this series. The inquiry also raises the question of computing the value without referencing the theta function, particularly when \(a = 1\).

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  • Understanding of Gaussian integrals and their properties
  • Familiarity with series summation techniques
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  • Experience with mathematical software tools like Mathematica and MATLAB
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  • Explore the properties and applications of the theta function \(\vartheta_3\)
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Mathematicians, physicists, and students interested in advanced calculus, particularly those working with Gaussian functions and series summation techniques.

mfengwang
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Hi,
We know that the Gaussian integral is
\int_{-\infty}^{+\infty}e^{-\frac{x^2}{a^2}}dx=a\sqrt{\pi}
However, if the gaussian function is discrete in x, what is the result of
\sum_{n=0}^{+\infty}e^{-\frac{n^2}{a}} = \\?
where n is natural number, that is n=0,1,2,3....
 
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I checked Wolfram alpha; it gives the result as

\frac{1 + \vartheta_3(0,e^{-1/a})}{2},

where \vartheta_b(x,q) is a theta function. Looking up the definition of the theta function on mathworld reveals that the result is pretty much by definition:

\vartheta_3(z,q) = \sum_{n=-\infty}^\infty q^{n^2} e^{2\pi i z}

Rearrangement and plugging in z = 0, q = e^(-1/a) gives the result, although it's not very enlightening. The theta function is a special function that should be available in mathematica and perhaps matlab.

I'm not sure if, setting a = 1 for example, there is a way to compute the resulting value without reference to the theta function.
 
Thanks a lot! It's really a great help to me. :smile::smile::smile:
 

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