Notes 1 GammaFunction

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    FACTS ABOUT THE GAMMA INTEGRAL

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    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.