# Cauchy distribution

Math

## Description

The Cauchy distribution, named after Augustin Cauchy, is a continuous probability distribution. It is also known, especially among physicists, as the Lorentz distribution (after Hendrik Lorentz), Cauchy–Lorentz distribution, Lorentz(ian) function, or Breit–Wigner distribution. The Cauchy distribution $f\left(x;{x}_{0},\gamma \right)$ is the distribution of the x-intercept of a ray issuing from $\left({x}_{0},\gamma \right)$ with a uniformly distributed angle. It is also the distribution of the ratio of two independent normally distributed random variables with mean zero.

The Cauchy distribution is often used in statistics as the canonical example of a "pathological" distribution since both its expected value and its variance are undefined (but see § Explanation of undefined moments below). The Cauchy distribution does not have finite moments of order greater than or equal to one; only fractional absolute moments exist. The Cauchy distribution has no moment generating function.

In mathematics, it is closely related to the Poisson kernel, which is the fundamental solution for the Laplace equation in the upper half-plane.

It is one of the few distributions that is stable and has a probability density function that can be expressed analytically, the others being the normal distribution and the Lévy distribution.

## Probability Density Function

The general formula for the probability density function of the Cauchy distribution is

$f\left(x\right)=\frac{1}{s\pi \left(1+\left(\left(x-t\right)/s{\right)}^{2}\right)}$

where t is the location parameter and s is the scale parameter. The case where t = 0 and s = 1 is called the standard Cauchy distribution. The equation for the standard Cauchy distribution reduces to

$f\left(x\right)=\frac{1}{\pi \left(1+{x}^{2}\right)}$

Since the general form of probability functions can be expressed in terms of the standard distribution, all subsequent formulas in this section are given for the standard form of the function.

The following is the plot of the standard Cauchy probability density function. ## Cumulative Distribution Function

The formula for the cumulative distribution function for the Cauchy distribution is

$f\left(x\right)=0.5+\frac{\mathrm{arctan}\left(x\right)}{\pi }$

The following is the plot of the Cauchy cumulative distribution function. ...

## Common Statistics

Mean The mean is undefined
Median The location parameter t
Mode The location parameter t
Range −∞ to ∞
Standard Deviation The standard deviation is undefined
Coefficient of Variation The coefficient of variation is undefined
Skewness The skewness is 0
Kurtosis The kurtosis is undefined

## Parameter Estimation

The likelihood functions for the Cauchy maximum likelihood estimates are given in chapter 16 of Johnson, Kotz, and Balakrishnan. These equations typically must be solved numerically on a computer.