Summation of exponential terms

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A_s_a_d
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I found the following identity in a paper:
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\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?