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Notes 1 GammaFunction
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Transcript of Notes 1 GammaFunction
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8/12/2019 Notes 1 GammaFunction
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FACTS ABOUT THE GAMMA INTEGRAL
Page gs 20111
A great number of tricks revolve around the integral
(t ) = x e dx t x
z 1
0
(Note as usual that x is only a dummy symbol.) This integral is called the gamma
function. Lets consider only t > 0. If you make the change of variable x=u
, then
dx =du
, and the integral is
(t ) =1
0
ut
t
ue du
which is merely another form. Yet another change, working from the original, is x = v ;then dx = dv, and the integral is
(t ) = 1
0
t t vv e dv
= 10
t t x x e dx
Lets work with the form at the top of the page. You should be able to show that (1) = 1. Now well do an integration by parts, using the mnemonic
u dv uv v du = z z By the way, when this mnemonic is applied to a definite integral, we write
it as u dv uv v du a
b b
a a
b
z z = a f . The limits refer to the variable ofintegration. If this variable is x, we would write this as
u x dv x u x v x v x du x a
b x b
x a a
b
( ) ( ) ( ) ( ) ( ) ( )z z = =
=a f .
Letu( x) = xt -1 and dv( x) = e - xdx
This creates x e dx t x
z 10
= u x dv x ( ) ( )0
z .
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FACTS ABOUT THE GAMMA INTEGRAL
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Then uv v du z becomes
x e e t x dx t x x
x
x t =
=
z 10
2
0
1c hd i c h( ) = + =
=
z x e t x e dx t x x
x
t x 1
0
2
0
1c h ( )
The value of xt -1e - x at x = 0 is clearly 0. The value at x = requires alimit process, possibly as lHospitals rule. This would have the followingform:
LHospitals rule says that( )( )
( )( )
lim lim x x
f x f xg x g x
= . (In using
this rule, x can approach any value, not just . Then
lim lim limx
t x
x
t
x x
d dx
t
d dx
x x e x
e x e
= =11 1
= lim ( )
x
t
x
t x e
1 2= ( ) limt
x e x
t
x
12
. This final form still looks like an
ratio; however, the logic
can be applied again repeatedly until the exponent of x is below 1.
At that point, the limiting ratio is0
, which is certainly 0.
= 0 + ( )t x e dx t x
z 1 20
= ( t - 1) (t - 1)
Weve established that (1) = 1 and that (t ) = ( t - 1) (t - 1). Therefore,
(2) = 1 (1) = 1 (3) = 2 (2) = 2 (4) = 3 (3) = 6 (5) = 4 (4) = 24
If r is an integer, (r ) = ( r - 1)!
It also happens that, for example, (4.2) = 3.2 2.2 1.2 0.2 (0.2). A curiousresult, to be shown soon, is that 12a f = . A use of this is
Thendu ( x) = ( t - 1) xt -2dx v( x) = - e - x
v( x) is simply the integral of dv( x).
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FACTS ABOUT THE GAMMA INTEGRAL
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(3.5) = 2.5 1.5 0.5
Recalling that
(t ) = t t x x e dx
z 10
we can certainly write
( ) = x e dx x
z 10
If follows that we could use as a probability density the function
f ( x) =1
01 ( )
( )
x e x x >I
We will call this the gamma probability law with parameters and . There are othernotational schemes; it is more common to see this with the roles of and exchanged.
Now about that last detail, 12a f = . Start with
120
12a f =
z x e dx x and make change x = y2. Then dx = 2 y dy and
122
0
12 2 2a f c h=
z y e y dy y = 2 20
e d y
z
Now make the change to polar coordinates. This change is
Lets write the square of this, once with x as the variable and once with y as the variable:
2 120 0
42 2a f = RS
TUVWRST
UVW
z z e dy e dx y x = 4 2 200
e dx dy x y +
z z d i
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FACTS ABOUT THE GAMMA INTEGRAL
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x r
y r
=
=RST
cos
sin
with, of course, dx dy = rdrd . The set { ( x, y) 0 < x < , 0 < y < } is mapped intothe set { ( r , ) 0 < r < , 0 < < 2
}.
Our integral is now
( )2 2
2 22 12
0 0 0 0
4 4r r e r dr d d r e dr
= =
The integral is certainly2
. As for the r integral, use the change of variable s = r 2 , sothat ds = 2 rdr , leading to
r e dr e ds e r s s s
s
=
=
= = =z z 2 12 12000
12
c h
Thus, the whole calculation comes to
2 12 4 212
a f = =
The desired conclusion follows immediately.