Gaussian Summation - Find Out the Result!

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The discussion centers on the evaluation of the discrete Gaussian summation, specifically the sum ∑_{n=0}^{+\infty} e^{-\frac{n^2}{a}}. The result is linked to the theta function, yielding the expression (1 + θ₃(0, e^{-1/a}))/2, where θ₃ is defined as a series involving q and z. The conversation highlights that while the theta function provides a formal result, it may not offer intuitive insights into the sum's value. There is curiosity about whether a direct computation exists for specific values, such as when a = 1, without relying on the theta function. The inquiry emphasizes the need for further exploration into alternative methods for evaluating the sum.
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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