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Wolfram Language & System Documentation Center
GammaRegularized
  • See Also
    • Gamma
    • InverseGammaRegularized
    • GammaDistribution
  • Related Guides
    • Gamma Functions and Related Functions
    • Functions Used in Statistics
  • Tech Notes
    • Special Functions
    • See Also
      • Gamma
      • InverseGammaRegularized
      • GammaDistribution
    • Related Guides
      • Gamma Functions and Related Functions
      • Functions Used in Statistics
    • Tech Notes
      • Special Functions

GammaRegularized[a,z]

is the regularized incomplete gamma function TemplateBox[{a, z}, GammaRegularized].

Details
Details and Options Details and Options
Examples  
Basic Examples  
Scope  
Numerical Evaluation  
Specific Values  
Visualization  
Show More Show More
Function Properties  
Differentiation  
Integration  
Series Expansions  
Integral Transforms  
Function Identities and Simplifications  
Function Representations  
Generalizations & Extensions  
Regularized Incomplete Gamma Function  
Generalized Regularized Incomplete Gamma Function  
Applications  
Properties & Relations  
Possible Issues  
Neat Examples  
See Also
Tech Notes
Related Guides
Related Links
History
Cite this Page
BUILT-IN SYMBOL
  • See Also
    • Gamma
    • InverseGammaRegularized
    • GammaDistribution
  • Related Guides
    • Gamma Functions and Related Functions
    • Functions Used in Statistics
  • Tech Notes
    • Special Functions
    • See Also
      • Gamma
      • InverseGammaRegularized
      • GammaDistribution
    • Related Guides
      • Gamma Functions and Related Functions
      • Functions Used in Statistics
    • Tech Notes
      • Special Functions

GammaRegularized

GammaRegularized[a,z]

is the regularized incomplete gamma function TemplateBox[{a, z}, GammaRegularized].

Details

  • Mathematical function, suitable for both symbolic and numerical manipulation.
  • In non‐singular cases, TemplateBox[{a, z}, GammaRegularized]=TemplateBox[{a, z}, Gamma2]/TemplateBox[{a}, Gamma].
  • GammaRegularized[a,z0,z1] is the generalized regularized incomplete gamma function, defined in non‐singular cases as Gamma[a,z0,z1]/Gamma[a].
  • Note that the arguments in GammaRegularized are arranged differently from those in BetaRegularized.
  • For certain special arguments, GammaRegularized automatically evaluates to exact values.
  • GammaRegularized can be evaluated to arbitrary numerical precision.
  • GammaRegularized automatically threads over lists.
  • GammaRegularized can be used with Interval and CenteredInterval objects. »

Examples

open all close all

Basic Examples  (5)

Evaluate numerically:

Plot over a subset of the reals:

Plot over a subset of the complexes:

Series expansion at the origin:

Series expansion at Infinity:

Scope  (41)

Numerical Evaluation  (6)

Evaluate numerically:

Evaluate numerically to high precision:

The precision of the output tracks the precision of the input:

Evaluate numerically for complex arguments:

Evaluate GammaRegularized efficiently at high precision:

Compute worst-case guaranteed intervals using Interval and CenteredInterval objects:

Compute average-case statistical intervals using Around:

Compute the elementwise values of an array:

Or compute the matrix GammaRegularized function using MatrixFunction:

Specific Values  (5)

Values at specific points:

Values at infinity:

Evaluate at integer and half‐integer arguments:

The generalized regularized incomplete gamma function at integer and half‐integer arguments:

Find the zero of TemplateBox[{2, x}, GammaRegularized]:

Visualization  (3)

Plot the regularized gamma function for integer arguments:

Plot the regularized gamma function for half-integer arguments:

Plot the real part of TemplateBox[{3, z}, GammaRegularized]:

Plot the imaginary part of TemplateBox[{3, z}, GammaRegularized]:

Function Properties  (9)

Real domain of TemplateBox[{a, x}, GammaRegularized]:

Complex domain:

The regularized incomplete gamma function TemplateBox[{1, x}, GammaRegularized] achieves all positive real values for real inputs:

The range for complex values:

TemplateBox[{{1, /, 2}, x}, GammaRegularized] has the restricted range :

TemplateBox[{a, x}, GammaRegularized] is an analytic function of for positive integer :

For other values of , it may or may not be analytic:

When it is not analytic, it is also not meromorphic:

TemplateBox[{1, x}, GammaRegularized] has no singularities or discontinuities:

TemplateBox[{{1, /, 2}, x}, GammaRegularized] has singularities and discontinuities for :

TemplateBox[{a, x}, GammaRegularized] is a non-increasing function of when is a positive, odd integer:

But in general, it is neither non-increasing nor non-decreasing:

TemplateBox[{a, x}, GammaRegularized] is an injective function of for noninteger :

For other values of , it may or may not be injective in :

TemplateBox[{a, x}, GammaRegularized] is not a surjective function of for most values of :

Visualize for :

TemplateBox[{a, x}, GammaRegularized] is non-negative for positive odd :

In general, it is neither non-negative nor non-positive:

TemplateBox[{1, x}, GammaRegularized] is convex:

TemplateBox[{{-, {1, /, 2}}, x}, GammaRegularized] is concave on its real domain:

TemplateBox[{2, x}, GammaRegularized] is neither convex nor concave:

Differentiation  (2)

First derivative of the regularized incomplete gamma function:

Higher derivatives:

Plot higher derivatives for integer and half-integer :

Integration  (3)

Indefinite integral of the regularized incomplete gamma function:

Definite integral int_0^inftyTemplateBox[{a, x}, GammaRegularized]dx:

More integrals:

Series Expansions  (4)

Series expansion for the regularized incomplete gamma function:

Plot the first three approximations for TemplateBox[{1, x}, GammaRegularized] around :

Series expansion at infinity:

Give the result for an arbitrary symbolic direction:

Expansions of the generalized regularized incomplete gamma function at a generic point:

GammaRegularized can be applied to a power series:

Integral Transforms  (2)

Compute the Laplace transform using LaplaceTransform:

MellinTransform:

Function Identities and Simplifications  (3)

FunctionExpand regularized gamma functions through ordinary gamma functions:

Use FullSimplify to simplify regularized gamma functions:

Recurrence identity:

Function Representations  (4)

Integral representation of the regularized incomplete gamma:

Representation in terms of MeijerG:

GammaRegularized can be represented as a DifferentialRoot:

TraditionalForm formatting:

Generalizations & Extensions  (4)

Regularized Incomplete Gamma Function  (3)

Evaluate at integer and half‐integer arguments:

Infinite arguments give symbolic results:

GammaRegularized threads element‐wise over lists:

Generalized Regularized Incomplete Gamma Function  (1)

Evaluate at integer and half‐integer arguments:

Applications  (5)

Plot of the real part of GammaRegularized over the complex plane:

CDF of the distribution:

Calculate PDF:

Plot the CDFs for various degrees of freedom:

CDF of the gamma distribution:

Calculate PDF:

Plot the CDFs for various parameters:

Fractional derivatives/integrals of the exponential function:

Check that this is the defining Riemann–Liouville integral:

Fractional derivative/integral of integer orders:

Plot fractional derivative/integral:

A liquid crystal display (LCD) has 1920×1080 pixels. A display is accepted if it has 15 or fewer faulty pixels. The probability that a pixel is faulty from production is . Find the proportion of displays that are accepted:

Find the pixel failure rate required to produce 4000×2000 pixel displays and still have an acceptance rate of at least 90%:

Plot the acceptance rate as a function of the pixel failure rate:

Find the maximal acceptable pixel failure rate:

Check the result:

Properties & Relations  (4)

Use FullSimplify to simplify regularized gamma functions:

Use FunctionExpand to express regularized gamma functions through ordinary gamma functions:

Solve a transcendental equation:

Numerically find a root of a transcendental equation:

Possible Issues  (3)

Large arguments can underflow and produce a machine zero:

Machine‐number inputs can give high‐precision results:

Gamma rather than GammaRegularized is usually generated in computations:

Regularized gamma functions are typically not generated by FullSimplify:

Neat Examples  (3)

Nest GammaRegularized over the complex plane:

Plot GammaRegularized at infinity:

Riemann surface of the incomplete regularized gamma function:

See Also

Gamma  InverseGammaRegularized  GammaDistribution

Tech Notes

    ▪
  • Special Functions

Related Guides

    ▪
  • Gamma Functions and Related Functions
  • ▪
  • Functions Used in Statistics

Related Links

  • MathWorld
  • The Wolfram Functions Site

History

Introduced in 1991 (2.0) | Updated in 2021 (13.0) ▪ 2022 (13.1)

Wolfram Research (1991), GammaRegularized, Wolfram Language function, https://reference.wolfram.com/language/ref/GammaRegularized.html (updated 2022).

Text

Wolfram Research (1991), GammaRegularized, Wolfram Language function, https://reference.wolfram.com/language/ref/GammaRegularized.html (updated 2022).

CMS

Wolfram Language. 1991. "GammaRegularized." Wolfram Language & System Documentation Center. Wolfram Research. Last Modified 2022. https://reference.wolfram.com/language/ref/GammaRegularized.html.

APA

Wolfram Language. (1991). GammaRegularized. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/GammaRegularized.html

BibTeX

@misc{reference.wolfram_2025_gammaregularized, author="Wolfram Research", title="{GammaRegularized}", year="2022", howpublished="\url{https://reference.wolfram.com/language/ref/GammaRegularized.html}", note=[Accessed: 01-May-2026]}

BibLaTeX

@online{reference.wolfram_2025_gammaregularized, organization={Wolfram Research}, title={GammaRegularized}, year={2022}, url={https://reference.wolfram.com/language/ref/GammaRegularized.html}, note=[Accessed: 01-May-2026]}

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