Error function

In mathematics, the error function (also called the Gauss error function), often denoted by erf, is a function defined as:[1]

Error function
Plot of the error function over real numbers
Plot of the error function over real numbers
General information
General definition
Fields of applicationProbability, thermodynamics, digital communications
Domain, codomain and image
Domain
Image
Basic features
ParityOdd
Specific features
Root0
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.

  1. ^ Andrews, Larry C. (1998). Special functions of mathematics for engineers. SPIE Press. p. 110. ISBN 9780819426161.
  2. ^ Whittaker, Edmund Taylor; Watson, George Neville (2021). Moll, Victor Hugo (ed.). A Course of Modern Analysis (5th revised ed.). Cambridge University Press. p. 358. ISBN 978-1-316-51893-9.