Gaussian distribution: Difference between revisions

Latest revision as of 11:01, 7 July 2008

The Gaussian distribution (also known as the normal distribution) is given by:

P(x)={\frac {1}{\sigma {\sqrt {2\pi }}}}\exp \left({\frac {-(x-\mu )^{2}}{2\sigma ^{2}}}\right)

where $\mu$ is the mean and $\sigma ^{2}$ is the variance.

@@ Line 4: / Line 4: @@
 where <math>\mu</math> is the mean and <math>\sigma^2</math> is the variance.
+==Applications in statistical mechanics==
+*[[Diffusion]]
+*[[Rouse model]]
 ==See also==
 *[[Numbers with a Gaussian distribution]]
 ==External links==
 *[http://mathworld.wolfram.com/NormalDistribution.html MathWorld Normal Distribution]
 [[category: mathematics]]