Difference between revisions of "Gaussian integral"

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{{Math-h}}
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The '''Gaussian integral''' is the integral:
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:<math> \int_{-\infty}^{\infty} e^{-x^2}dx. </math>
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It has a value of <math>\sqrt\pi</math>. The value is needed to normalize the [[Normal distribution]].
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==Derivation==
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First look at the [[double integral]]
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<math>\int_{-\infty}^{\infty} \int_{-\infty}^{\infty} e^{-x^2-y^2}dxdy.</math>
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Separating it,
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<math>\int_{-\infty}^{\infty} e^{-x^2}dx \int_{-\infty}^{\infty} e^{-y^2}dy = (\int_{-\infty}^{\infty} e^{-x^2}dx)^2 </math>
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So, the double integral is merely the square of the Gaussian integral.
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Now, do the double integral in polar co-ordinates. <math>-x^2-y^2= -(x^2+y^2) = -r^2</math> and <math>dxdy=rdrd\theta</math>, so:
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<math>\int_{-\infty}^{\infty} \int_{-\infty}^{\infty} e^{-x^2-y^2}dxdy = \int_{0}^{2\pi}\int_{0}^{\infty} e^{-r^2}rdrd\theta</math>
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<math> = (\int_{0}^{2\pi}d\theta)(\int_{0}^{\infty} e^{-r^2}rdr)</math>
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<math> = 2\pi \int_{0}^{\infty} e^{-r^2}rdr.</math>
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Substituting <math>z=r^2</math> into the [[integral]]:
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<math> = 2\pi \int_{0}^{\infty} e^{-z}(z^{1/2})(\frac{dz}{2z^{1/2}})</math>
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<math> = \pi \int_{0}^{\infty} e^{-z}dz = \pi  \left[-e^{-z} \right]_0^{\infty} = \pi.</math>
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Therefore,
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<math>(\int_{-\infty}^{\infty} e^{-x^2}dx)^2 = \pi </math>
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<math>\int_{-\infty}^{\infty} e^{-x^2}dx = \sqrt\pi.</math>
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[[Category:Mathematics]]

Latest revision as of 13:18, July 13, 2016

This article/section deals with mathematical concepts appropriate for late high school or early college.

The Gaussian integral is the integral:

It has a value of . The value is needed to normalize the Normal distribution.

Derivation

First look at the double integral

 

Separating it,

 

So, the double integral is merely the square of the Gaussian integral.

Now, do the double integral in polar co-ordinates.   and  , so:

 

 

 

Substituting   into the integral:

 

 

Therefore,