Raised cosine distribution

Template:Probability distribution In probability theory and statistics, the raised cosine distribution is a continuous probability distribution supported on the interval ${\displaystyle [\mu -s,\mu +s]}$. The probability density function (pdf) is

${\displaystyle f(x;\mu ,s)={\frac {1}{2s}}\left[1+\cos \left({\frac {x\!-\!\mu }{s}}\,\pi \right)\right]\,}$

for ${\displaystyle \mu -s\leq x\leq \mu +s}$ and zero otherwise. The cumulative distribution function is

${\displaystyle F(x;\mu ,s)={\frac {1}{2}}\left[1\!+\!{\frac {x\!-\!\mu }{s}}\!+\!{\frac {1}{\pi }}\sin \left({\frac {x\!-\!\mu }{s}}\,\pi \right)\right]}$

The moments of the raised cosine distribution are somewhat complicated, but are considerably simplified for the standard raised cosine distribution. The standard raised cosine distribution is just the raised cosine distribution with ${\displaystyle \mu =0}$ and ${\displaystyle s=1}$. Because the standard raised cosine distribution is an even function, the odd moments are zero. The even moments are given by:

${\displaystyle E(x^{2n})={\frac {1}{2}}\int _{-1}^{1}[1+\cos(x\pi )]x^{2n}\,dx}$
${\displaystyle ={\frac {1}{n\!+\!1}}+{\frac {1}{1\!+\!2n}}\,_{1}F_{2}\left(n\!+\!{\frac {1}{2}};{\frac {1}{2}},n\!+\!{\frac {3}{2}};{\frac {-\pi ^{2}}{4}}\right)}$

Differential equation

The pdf of the raised cosine distribution is a solution to the following differential equation:

${\displaystyle \left\{{\begin{array}{l}2s^{3}f''(x)-2\pi ^{2}sf(x)+\pi ^{2}=0,\\f(0)={\frac {1}{s}}\cosh ^{2}\left({\frac {\pi \mu }{2s}}\right),\\f'(0)=-{\frac {\pi }{2s^{2}}}\sinh \left({\frac {\pi \mu }{s}}\right)\end{array}}\right\}}$