Table of Contents
Last modified on March 7th, 2025
The Gamma Function is a function that extends the concept of factorials beyond whole numbers. As we know, the formula of the factorials is:
n! = n × (n – 1) × (n – 2) × ⋯ × 2 × 1
It works well for whole numbers like 1, 2, and 3. However, to find ${\left( \dfrac{1}{2}\right) !}$ or (-3.5)!, we need the Gamma Function. The Gamma Function is represented by the symbol Γ(n) (read as ‘gamma of n’).
Thus, it is a generalized version of the factorial function that works for all real and complex numbers except non-positive integers.
Mathematically, it is defined as:
${\Gamma \left( z\right) =\int ^{\infty }_{0}x^{z-1}e^{-x}dx}$
The Gamma Function is used in probability and statistics like gamma and chi-square distributions, as well as in complex analysis, including Bessel and Legendre functions.
Just like n! = n × (n-1)!, the gamma function satisfies the recurrence relation:
Γ(z+1) = z Γ(z), which allows us to calculate values step by step.
For example,
Γ(3.5) = 2.5 Γ(2.5) = 2.5 × 1.5 Γ(1.5)
This makes calculations easier without directly integrating the function.
The Gamma function has a well-known value at half-integer points:
${\Gamma \left( \dfrac{1}{2}\right) =\sqrt{\pi }}$
This result is essential in probability and statistics, particularly in the normal distribution and beta function.
This formula helps find gamma function values for negative inputs:
${\Gamma \left( z\right) \Gamma \left( 1-z\right) =\dfrac{\pi }{\sin \left( \pi z\right) }}$
The Gamma Function is not defined for negative integers (e.g., Γ(-1), Γ(-2), Γ(-3), …) because it has poles at these points (tends to infinity). However, for negative non-integer values, the function is well-defined and can be computed using the reflection formula.
This formula allows us to compute Gamma values for negative non-integers using their positive counterparts.
For example,
${\Gamma \left( -\dfrac{1}{2}\right) \Gamma \left( 1+\dfrac{1}{2}\right) =\dfrac{\pi }{\sin \left( \pi \left( -\dfrac{1}{2}\right) \right) }}$
⇒ ${\Gamma \left( -\dfrac{1}{2}\right) =\dfrac{\pi }{\sin \left( -\dfrac{\pi }{2}\right) \times \Gamma \left( \dfrac{3}{2}\right) }}$
⇒ ${\Gamma \left( -\dfrac{1}{2}\right) =\dfrac{\pi }{-1\times \dfrac{\sqrt{\pi }}{2}}}$
⇒ ${\Gamma \left( -\dfrac{1}{2}\right) =-\dfrac{2\sqrt{\pi }}{\sqrt{\pi }}}$
⇒ ${\Gamma \left( -\dfrac{1}{2}\right) =-2}$
Let us evaluate the value of Γ(5) using the recurrence relation:
As we know, Γ(n) = (n – 1)!
Here, Γ(5) = (5 – 1)! = 4! = 4 × 3 × 2 × 1 = 24
Thus, Γ(5) = 24
For fractional values, the gamma function formula becomes:
${\Gamma \left( \dfrac{1}{2}\right) =\sqrt{\pi }}$
By using the recurrence relation: ${\Gamma \left( z+1\right) =z\Gamma \left( z\right)}$
We can determine values for other fractions as well.
For example,
${\Gamma \left( \dfrac{3}{2}\right) =\dfrac{1}{2}\Gamma \left( \dfrac{1}{2}\right) =\dfrac{\sqrt{\pi }}{2}}$
${\Gamma \left( \dfrac{5}{2}\right) =\dfrac{3}{2}\Gamma \left( \dfrac{3}{2}\right) =\dfrac{3}{2}\times \dfrac{\sqrt{\pi }}{2}=\dfrac{3\sqrt{\pi }}{4}}$
As we know, the Gamma Function extends the concept of factorials to non-integer and complex numbers. For positive integers, it follows the familiar pattern Γ(n) = (n – 1)!, but for non-integer values, it smoothly interpolates between these points.
However, at negative integers, it is undefined and diverges to infinity.
The graph below visually represents these key properties:
This visualization highlights how the Gamma Function generalizes factorials while also showing its limitations at negative integers.
Note: The Gamma Function also applies to complex numbers, provided that their real part is greater than zero.
Find the value of ${\Gamma \left( \dfrac{3}{2}\right)}$
As we know, Γ(z + 1) = z Γ(z)
Here,
${\Gamma \left( \dfrac{3}{2}\right) =\dfrac{1}{2}\Gamma \left( \dfrac{1}{2}\right)}$
Since ${\Gamma \left( \dfrac{1}{2}\right) =\sqrt{\pi }}$
Thus, ${\Gamma \left( \dfrac{3}{2}\right) =\dfrac{\sqrt{\pi }}{2}}$
Use the recurrence relation to find Γ(4.5) given that Γ(0.5) = ${\sqrt{\pi }}$
As we know, Γ(z + 1) = z Γ(z)
Here,
Γ(4.5) = 3.5 Γ(3.5)
Γ(3.5) = 2.5 Γ(2.5)
Γ(2.5) = 1.5 Γ(1.5)
Given, Γ(0.5) = ${\sqrt{\pi }}$
Using Γ(1.5) = ${\dfrac{1}{2}\Gamma \left( 0.5\right) =\dfrac{\sqrt{\pi }}{2}}$, we get
${\Gamma \left( 2.5\right) =1.5\times \dfrac{\sqrt{\pi }}{2}=\dfrac{3\sqrt{\pi }}{4}}$
${\Gamma \left( 3.5\right) =2.5\times \dfrac{3\sqrt{\pi }}{4}=\dfrac{15\sqrt{\pi }}{8}}$
${\Gamma \left( 4.5\right) =3.5\times \dfrac{15\sqrt{\pi }}{8}=\dfrac{52.5\sqrt{\pi }}{16}}$
Thus, Γ(4.5) = ${\dfrac{52.5\sqrt{\pi }}{16}}$
Incomplete Gamma Function
The incomplete gamma function is a generalized form of the gamma function that we use to evaluate the function over a partial range of integration. Unlike the complete Gamma function, which integrates from 0 to ∞, the incomplete Gamma function integrates the value over a limited range.
Types
1. Lower Incomplete Gamma Function:
${\gamma \left( s,x\right) =\int ^{x}_{0}t^{s-1}e^{-t}dt}$
It integrates from 0 to x and is used in cumulative probability calculations.
2. Upper Incomplete Gamma Function:
${\Gamma \left( s,x\right) =\int ^{\infty }_{x}t^{s-1}e^{-t}dt}$
It integrates from x to ∞ and is used in tail probabilities and special functions.
Relation to the Complete Gamma Function
The incomplete gamma functions relate to the complete gamma function:
${\Gamma \left( s\right) =\gamma \left( s,x\right) +\Gamma \left( s,x\right)}$
This means that the sum of the lower and upper incomplete gamma functions gives the complete Gamma function.
Last modified on March 7th, 2025