In mathematics, the error function (also called the Gauss error function), often denoted by erf, is a function defined as:[1]
Error function | |
---|---|
General information | |
General definition | |
Fields of application | Probability, thermodynamics, digital communications |
Domain, codomain and image | |
Domain | |
Image | |
Basic features | |
Parity | Odd |
Specific features | |
Root | 0 |
Derivative | |
Antiderivative | |
Series definition | |
Taylor series |
The integral here is a complex contour integral which is path-independent because is holomorphic on the whole complex plane . In many applications, the function argument is a real number, in which case the function value is also real.
In some old texts,[2] the error function is defined without the factor of . This nonelementary integral is a sigmoid function that occurs often in probability, statistics, and partial differential equations.
In statistics, for non-negative real values of x, the error function has the following interpretation: for a real random variable Y that is normally distributed with mean 0 and standard deviation , erf x is the probability that Y falls in the range [−x, x].
Two closely related functions are the complementary error function is defined as
and the imaginary error function is defined as
where i is the imaginary unit.