Gaussian q-distribution
The Gaussian
-distribution introduced by Diaz and Teruel is a q-analogue of the Gaussian or Normal distribution.
Let
be a real number in the interval [0,1). The Gaussian
-density is the function
given by
![{\displaystyle s_{q}={\begin{cases}0&{\mbox{if }}x<-\nu \\{\frac {1}{c(q)}}E_{q^{2}}^{\frac {-q^{2}x^{2}}{[2]_{q}}}&{\mbox{if }}-\nu \leq x\leq \nu \\0&{\mbox{if }}x>\nu .\end{cases}}}](https://wikimedia.org/api/rest_v1/media/math/render/svg/9c8ca3b57528a7959704b427ee30f86aa0ca0fa0)
where
![{\displaystyle \nu =\nu (q)={\frac {1}{\sqrt {1-q}}}}](https://wikimedia.org/api/rest_v1/media/math/render/svg/be5cb2cc19f78ac6cf29709598bcbc40211c69f3)
.
The
-analogue
of the real number
is given by
.
The
-analogue of the exponential function
is given by
![{\displaystyle E_{q}^{x}=\sum _{j=0}^{\infty }q^{j(j-1)/2}{\frac {x^{j}}{[j]!}}}](https://wikimedia.org/api/rest_v1/media/math/render/svg/271b1da4445a1cb1b891e9c3d30099e2e6e99662)
where the
-analogue of the factorial
is given by
![{\displaystyle [n]_{q}!=[n]_{q}[n-1]_{q}...[2]_{q}}](https://wikimedia.org/api/rest_v1/media/math/render/svg/93245c48b7d4ff43c3ce27cc37daa8a7deb06eef)
for an integer
and
The cumulative Gaussian
-distribution
The Gaussian q-density.
is given by
where the integration symbol denotes the Jackson integral.
Explicitly the function
is given by
where
The Cumulative Gaussian q-distribution.
The moment (mathematics) of the Gaussian
-distribution are given by
![{\displaystyle {\frac {1}{c(q)}}\int _{-\nu }^{\nu }E_{q^{2}}^{\frac {-q^{2}x^{2}}{[2]}}x^{2n+1}d_{q}x=0}](https://wikimedia.org/api/rest_v1/media/math/render/svg/0844c4acf3dc65519488e6b546397123cd04c078)
Where the symbol ![{\displaystyle [2n-1]!!}](https://wikimedia.org/api/rest_v1/media/math/render/svg/ea86e32ba611f04e9b84d832db05a41c88fef6fb)
is the q-analogue of the double factorial given by