Summation of exponential terms

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Discussion Overview

The discussion revolves around the identity involving the summation of exponential terms, specifically the relationship between two forms of a series involving Gaussian integrals. Participants explore methods to prove the identity and the implications of scaling parameters within the summation.

Discussion Character

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

Main Points Raised

  • One participant presents an identity involving a summation of exponential terms and seeks hints for proving it.
  • Another participant notes that the sums on both sides appear to be scaled versions of each other and suggests examining the effect of changing the parameter α to αβ.
  • A different participant agrees that the sums are scaled and proposes approximating the summation as an integral, raising concerns about the transformation factor needed for this approximation.
  • One participant reformulates the identity, expressing it in terms of a sum over all integers and relating it to the integral of a discrete Gaussian, suggesting that the normalization constant ensures the areas are equivalent.
  • A question is raised regarding whether α must be a positive integer for the identity to hold.

Areas of Agreement / Disagreement

Participants express agreement on the scaling nature of the sums but do not reach a consensus on the proof or the implications of the parameter α.

Contextual Notes

Participants mention the need for careful consideration of the transformation from summation to integral, indicating potential limitations in the assumptions made regarding the parameter α.

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I found the following identity in a paper:
##
\sum_{l=1}^{\infty}exp(-\pi\alpha l^2)=(\frac{1}{2\sqrt{\alpha}}-\frac{1}{2})+\frac{1}{\sqrt{\alpha}}\sum_{l=1}^{\infty}exp(\frac{-\pi l^2}{\alpha}) ##
Someone please let me give some hints on how to prove this.
 
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It looks like it's the same sum on both sides, but scaled.

I would see what happens to the exponential sum when you change [itex]\alpha[/itex] to [itex]\alpha\beta[/itex]. Can you make the result identical with the right scaling factor in front (twice as wide, but half as tall)?
 
Yes, it's the same sum but scaled. One thing I have found that if you approximate the summation as integral, it can be proved easily as both are usual Gaussian Integral. But I was worrying about the factor that involves to transform the summation into integral. Any thoughts?
 
So, you can write it alternatively as:
[itex]\frac{1}{2} +\sum_{l=1}^{\infty}exp(-\pi\alpha l^2)=\frac{1}{\sqrt{\alpha}}\big(\frac{1}{2}+\sum_{l=1}^{\infty}exp(\frac{-\pi l^2}{\alpha})\big)[/itex]
or better yet
[itex]\sum_{l=-\infty}^{\infty}exp(-\pi\alpha l^2)=\frac{1}{\sqrt{\alpha}}\sum_{l=-\infty}^{\infty}exp(\frac{-\pi l^2}{\alpha})[/itex]
this sum is exactly the integral of a discrete gaussian. With the normalization constant in front, they should have the same area..

At least, that is how I think it should work out.

Does [itex]\alpha[/itex] have to be a positive integer?
 

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