Gamma and Beta Function, Lecture Notes - Mathematics, Study notes of Complex Numbers Theory

Gamma Function,Beta Function,generalization of the binomial coefficient, integral,transformation,Relation Between Gamma Function and Sine Function, Duplication Formula for the Gamma Function.

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Math 113 (Spring 2009) Yum-Tong Siu 1
Gamma Function and Beta Function
Definition of the Gamma Function. The Gamma function in a real variable
is defined by
Γ (x) = Z
0
tx1etdt
for x > 0 to make sure that the integral converges at t= 0. When x > 1, by
integration by parts we get
Γ (x) = £tx1et¤t=
t=0 + (x1) Z
0
tx2etdt = (x1) Γ (x1) .
From Γ(1) = R
0et= 1 it follows that
Γ (n) = (n1)! .
So the Gamma function is the generalization of the factorial function from
integer values to real values. The defining formula
Γ (z) = Z
0
tz1etdt
actually defined Γ(z) for zCwith Re z > 0.
Beta Function. A similar analog of the generalization of the binomial coeffi-
cient µm+n
m=(m+n)!
m!n!
is the Beta function defined by
B(x, y) = Γ (x+y)
Γ(x) Γ(y).
We are going to derive the formula for the Beta function as a definite integral
whose integrand depends on the variables xand y. This is done by reversing
the order of integration of a double integral. For x > 0 and y > 0 we have
Γ(x)Γ(y) = µZ
0
tx1etdtµZ
0
uy1eudu.
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Gamma Function and Beta Function

Definition of the Gamma Function. The Gamma function in a real variable is defined by

Γ (x) =

0

tx−^1 e−tdt

for x > 0 to make sure that the integral converges at t = 0. When x > 1, by integration by parts we get

Γ (x) =

[

−tx−^1 e−t

]t=∞ t=0 + (x^ −^ 1)

0

tx−^2 e−tdt = (x − 1) Γ (x − 1).

From Γ(1) =

0 e

−t (^) = 1 it follows that

Γ (n) = (n − 1)!.

So the Gamma function is the generalization of the factorial function from integer values to real values. The defining formula

Γ (z) =

0

tz−^1 e−tdt

actually defined Γ(z) for z ∈ C with Re z > 0.

Beta Function. A similar analog of the generalization of the binomial coeffi- cient (^) ( m + n m

(m + n)! m! n!

is the Beta function defined by

B (x, y) =

Γ (x + y) Γ(x) Γ(y)

We are going to derive the formula for the Beta function as a definite integral whose integrand depends on the variables x and y. This is done by reversing the order of integration of a double integral. For x > 0 and y > 0 we have

Γ(x)Γ(y) =

0

tx−^1 e−tdt

0

uy−^1 e−udu

Using the transformation u = tv and then the transformation w = t (1 + v), we obtain

Γ(x)Γ(y) =

0

tx−^1 e−tdt

0

tyvy−^1 e−tvdv

0

vy−^1 dv

0

tx+y−^1 e−t(1+v)dv

0

vy−^1 dv

0

wx+y−^1 e−wdw (1 + v)x+y

= Γ (x + y)

0

vy−^1 dv (1 + v)x+y^

from which it follows that

B (x, y) =

0

vy−^1 dv (1 + v)x+y^

Finally we use the transformation v = (^1) −λλ to get the alternative formulation

B (x, y) =

0

λx−^1 (1 − λ)y−^1 dλ,

which is symmetric in x and y.

Relation Between Gamma Function and Sine Function. A very useful case for the Beta function is when x + y = 1 in the above formula, in which case

Γ(x)Γ(1 − x) =

0

vx−^1 dv 1 + v

which by residue calculus applied to the function

zx−^1 dz 1 + z integrated over the contour integral of the boundary of the domain

{ r < |z| < R } − { Re z ≥ 0 , −r ≤ Im z ≤ r } ,

yields π sin πx

Thus we have the following important formula relating the gamma function to the sine function Γ(x)Γ(1 − x) =

π sin πx for 0 < x < 1.