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Gaussian integral
(section)
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====Complete proof==== To justify the improper double integrals and equating the two expressions, we begin with an approximating function: <math display="block">I(a) = \int_{-a}^a e^{-x^2}dx.</math> If the integral <math display="block">\int_{-\infty}^\infty e^{-x^2} \, dx</math> were [[absolutely convergent]] we would have that its [[Cauchy principal value]], that is, the limit <math display="block">\lim_{a\to\infty} I(a) </math> would coincide with <math display="block">\int_{-\infty}^\infty e^{-x^2}\,dx.</math> To see that this is the case, consider that <math display="block">\int_{-\infty}^\infty \left|e^{-x^2}\right| dx < \int_{-\infty}^{-1} -x e^{-x^2}\, dx + \int_{-1}^1 e^{-x^2}\, dx+ \int_{1}^{\infty} x e^{-x^2}\, dx < \infty .</math> So we can compute <math display="block">\int_{-\infty}^\infty e^{-x^2} \, dx</math> by just taking the limit <math display="block">\lim_{a\to\infty} I(a).</math> Taking the square of <math>I(a)</math> yields <math display="block">\begin{align} I(a)^2 & = \left ( \int_{-a}^a e^{-x^2}\, dx \right ) \left ( \int_{-a}^a e^{-y^2}\, dy \right ) \\[6pt] & = \int_{-a}^a \left ( \int_{-a}^a e^{-y^2}\, dy \right )\,e^{-x^2}\, dx \\[6pt] & = \int_{-a}^a \int_{-a}^a e^{-\left(x^2+y^2\right)}\,dy\,dx. \end{align}</math> Using [[Fubini's theorem]], the above double integral can be seen as an area integral <math display="block">\iint_{[-a, a] \times [-a, a]} e^{-\left(x^2+y^2\right)}\,d(x,y),</math> taken over a square with vertices {{math|{(β''a'', ''a''), (''a'', ''a''), (''a'', β''a''), (β''a'', β''a'')}<nowiki/>}} on the ''xy''-[[Cartesian plane|plane]]. Since the exponential function is greater than 0 for all real numbers, it then follows that the integral taken over the square's [[incircle]] must be less than <math>I(a)^2</math>, and similarly the integral taken over the square's [[circumcircle]] must be greater than <math>I(a)^2</math>. The integrals over the two disks can easily be computed by switching from Cartesian coordinates to [[list of canonical coordinate transformations|polar coordinates]]: <math display="block">\begin{align} x &= r \cos \theta, & y &= r \sin\theta \end{align}</math> <math display="block"> \mathbf J(r, \theta) = \begin{bmatrix} \dfrac{\partial x}{\partial r} & \dfrac{\partial x}{\partial\theta}\\[1em] \dfrac{\partial y}{\partial r} & \dfrac{\partial y}{\partial\theta} \end{bmatrix} = \begin{bmatrix} \cos\theta & - r\sin \theta \\ \sin\theta & \hphantom{-} r\cos \theta \end{bmatrix} </math> <math display="block">d(x,y) = \left|J(r, \theta)\right| d(r,\theta) = r\, d(r,\theta).</math> <math display="block">\int_0^{2\pi} \int_0^a re^{-r^2} \, dr \, d\theta < I^2(a) < \int_0^{2\pi} \int_0^{a\sqrt{2}} re^{-r^2} \, dr\, d\theta.</math> (See [[list of canonical coordinate transformations|to polar coordinates from Cartesian coordinates]] for help with polar transformation.) Integrating, <math display="block">\pi \left(1-e^{-a^2}\right) < I^2(a) < \pi \left(1 - e^{-2a^2}\right). </math> By the [[squeeze theorem]], this gives the Gaussian integral <math display="block">\int_{-\infty}^\infty e^{-x^2}\, dx = \sqrt{\pi}.</math>
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