Incomplete Gamma Function Notation

In summary, the function f(x) can be represented by an integral over y. If x = \betay, then dx = \betady.
  • #1
Saladsamurai
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7
I am using a particular form of the incomplete gamma function (which I have never seen before) in my probability course. It is denoted:

[tex]F(x;\alpha) = \int_0^x \frac{y^{\alpha - 1}e^{-y}}{\Gamma(\alpha)}\,dy\qquad(1)[/tex]Question 1
Why the bounds in terms of 'x' ? I am just a little confused by this. Is 'x' just being used as a dummy variable? That is 'x' is some particular value of 'y' ? I know, stupid question, but I don't want to make a bad assumption here.Question 2
My text has values of the integral in (1) tabulated. I am supposed to use (1) to solve the integral,

[tex] P(X\le x)=\int_0^x \frac {1}{\beta^\alpha\Gamma(\alpha)}x^{\alpha - 1}e^{-x/\beta}\,dx\qquad(2)[/tex]

using [itex]y = x/\beta[/itex] (3), but I am having a little trouble getting there. Obviously using (3), the [itex]e^-{x/\beta}[/itex] term becomes the desired e^-y as in (1). If [itex]y = x/\beta[/itex], then [itex]x = y*\beta[/itex]. So I am left with,

[tex] P(X\le x)=\int_0^x \frac {1}{\beta^\alpha\Gamma(\alpha)}(y\beta)^{\alpha - 1}e^{-y}\,dy\qquad(4)[/tex]

[tex]\Rightarrow P(X\le x)=\int_0^x \frac {y^{\alpha - 1}\beta^{\alpha - 1}e^{-y}}{\beta^\alpha\Gamma(\alpha)}\,dy\qquad(5)[/tex]My trouble now is that the order of the Beta in the numerator is one less than that in the denominator. So I am left with a Beta in the denominator. Did I miss something or have I erred? It "almost" looks like (1), but not quite. (I know that a constant of [itex]1/\beta[/itex] can be pulled through the integral, but the text solution to a particular problem does not have that factor of [itex]1/\beta[/itex] left in there, hence I think I am missing something.)
 
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  • #2
Saladsamurai said:
I am using a particular form of the incomplete gamma function (which I have never seen before) in my probability course. It is denoted:

[tex]F(x;\alpha) = \int_0^x \frac{y^{\alpha - 1}e^{-y}}{\Gamma(\alpha)}\,dy\qquad(1)[/tex]


Question 1
Why the bounds in terms of 'x' ? I am just a little confused by this. Is 'x' just being used as a dummy variable?
No, the dummy variable is y. The expression on the right side is a function of x as well as the parameter alpha. Your second question is a little more complicated, so I'll need to think about it some more.
Saladsamurai said:
That is 'x' is some particular value of 'y' ? I know, stupid question, but I don't want to make a bad assumption here.


Question 2
My text has values of the integral in (1) tabulated. I am supposed to use (1) to solve the integral,

[tex] P(X\le x)=\int_0^x \frac {1}{\beta^\alpha\Gamma(\alpha)}x^{\alpha - 1}e^{-x/\beta}\,dx\qquad(2)[/tex]

using [itex]y = x/\beta[/itex] (3), but I am having a little trouble getting there. Obviously using (3), the [itex]e^-{x/\beta}[/itex] term becomes the desired e^-y as in (1). If [itex]y = x/\beta[/itex], then [itex]x = y*\beta[/itex]. So I am left with,

[tex] P(X\le x)=\int_0^x \frac {1}{\beta^\alpha\Gamma(\alpha)}(y\beta)^{\alpha - 1}e^{-y}\,dy\qquad(4)[/tex]

[tex]\Rightarrow P(X\le x)=\int_0^x \frac {y^{\alpha - 1}\beta^{\alpha - 1}e^{-y}}{\beta^\alpha\Gamma(\alpha)}\,dy\qquad(5)[/tex]


My trouble now is that the order of the Beta in the numerator is one less than that in the denominator. So I am left with a Beta in the denominator. Did I miss something or have I erred? It "almost" looks like (1), but not quite. (I know that a constant of [itex]1/\beta[/itex] can be pulled through the integral, but the text solution to a particular problem does not have that factor of [itex]1/\beta[/itex] left in there, hence I think I am missing something.)
 
  • #3
Mark44 said:
No, the dummy variable is y. The expression on the right side is a function of x as well as the parameter alpha.

Hmmm... How can a function F(x;a) be given by an integral over 'y' ? Sorry. I was never good at the formal stuff.
 
  • #4
Just a quick thought that might or might not solve your problem. If x = [itex]\beta[/itex]y, then dx = [itex]\beta[/itex]dy. I'm not sure that you accounted for this.
 
  • #5
Saladsamurai said:
Hmmm... How can a function F(x;a) be given by an integral over 'y' ? Sorry. I was never good at the formal stuff.

Let's look at a simpler example. Consider this function of x:
[tex]f(x) = \int_0^x t^2 dt[/tex]
Clearly f(0) = 0. What is f(1)? f(2)? In this integral t is a dummy variable; it could be y or v or whatever (just not x). The real variable here is the upper limit of integration.
 
  • #6
Mark44 said:
Just a quick thought that might or might not solve your problem. If x = [itex]\beta[/itex]y, then dx = [itex]\beta[/itex]dy. I'm not sure that you accounted for this.

Oh bloody hell! (What am I British now? Why would I say bloody hell?) That is it! Thanks!
Mark44 said:
Let's look at a simpler example. Consider this function of x:
[tex]f(x) = \int_0^x t^2 dt[/tex]
Clearly f(0) = 0. What is f(1)? f(2)? In this integral t is a dummy variable; it could be y or v or whatever (just not x). The real variable here is the upper limit of integration.

Ok. This reminds me of the notation on one of the fundamental laws of calculus, which 3 years later I still do not understand. I will look at what you have written and figure it out. So what is f(1)? Isn't it

[tex]\int_0^1 t^2\,dt[/tex]

So what we are saying is that that f(x) is a function of the upper limit of integration, correct? As opposed to what is under the integrand. Err...maybe not...
 
  • #7
That's pretty much what I'm saying, although it's not limited to just the upper limit of integration. The following are also functions of x:
[tex]f(x) = \int_x^0 v^2 dv[/tex]
[tex]g(x) = \int_x^{2x} r^2 dr[/tex]
Note that the integrand is the same as before, but I have changed the dummy variables. Of course, the integrand plays a role in what you get, but it doesn't matter whether the integrand is written in terms of t or v or whatever, so it is called a dummy variable.
 
  • #8
OK. But here is another point of confusion. This is the problem from which this discussion stems. It is a particular example that I was trying to generalize (since the text does not). Sorry for the crappy image, my scanner just crapped out on me

Photoon2010-06-20at23262.jpg


Notice that the first integral is the gamma distribution given by (2) in the OP. The third integral is the 'converted' integral as given by (1) in the OP. But clearly the bounds on the third integral have been converted to 'y' bounds to match the function's dummy variable using 'y = x/beta'. Hence they run from 0 to 6 instead of 0 to 60.

Is this simply because if we left the bounds of the new integral in terms of x, it would not be of any use to us; i.e. we could not evaluate it? But since we know the relationship beween x and the dummy variable, we can substitute it in?
 
  • #9
There's a difference between the second and third integrals on your scanned page: the second one is a function of x, while the third is not a function at all - it's just a number. In the 2nd integral, from P(X <= 60), it's evident that x = 60. Making the change from x to y (with y = x/beta), you have y = 60/10 = 6. That's the reason for the change in the upper limit of integration. For the lower limit, you have y = 0/10 = 0, so it doesn't change.
 
  • #10
Mark44 said:
There's a difference between the second and third integrals on your scanned page: the second one is a function of x, while the third is not a function at all - it's just a number. In the 2nd integral, from P(X <= 60), it's evident that x = 60. Making the change from x to y (with y = x/beta), you have y = 60/10 = 6. That's the reason for the change in the upper limit of integration. For the lower limit, you have y = 0/10 = 0, so it doesn't change.

I am sorry Mark, but you are kind of losing me. In the scanned document, the second integral and the third are the same thing. The probability the X <= x is given by evaluating the 2nd integral from 0 to x. That is,

[tex]P(X\le x) = F(x;\alpha) = \int_0^x \frac{y^{\alpha-1}e^{-y}}{\Gamma(\alpha)}\, dy[/tex]

For this problem, x takes on the value of 60, beta = 10 and alpha = 5.

So we need to evaluate

[tex]F(60;5) = \int_{x=0}^{x=60} \frac{y^{4}e^{-y}}{\Gamma(5)}\, dy[/tex]

But the integral is wrt 'y' and our bounds are in x, so we must convert to y bounds using the fact that x we defined our dummy variable 'y' interms of 'x'. That is all I am saying. Are you just pointing out that once we do that, we no longer have a function since it evaluates to a numerical value?
 
  • #11
Saladsamurai said:
I am sorry Mark, but you are kind of losing me. In the scanned document, the second integral and the third are the same thing.
Not at all. The 2nd integral is a function of x (and also of a parameter alpha). The 3rd integral is a number. The 3rd integral is certainly related to the 2nd integral by virtue that it represents f(60). A function f(x) and a number f(60) are very different things.
Saladsamurai said:
The probability the X <= x is given by evaluating the 2nd integral from 0 to x. That is,

[tex]P(X\le x) = F(x;\alpha) = \int_0^x \frac{y^{\alpha-1}e^{-y}}{\Gamma(\alpha)}\, dy[/tex]

For this problem, x takes on the value of 60, beta = 10 and alpha = 5.

So we need to evaluate

[tex]F(60;5) = \int_{x=0}^{x=60} \frac{y^{4}e^{-y}}{\Gamma(5)}\, dy[/tex]

But the integral is wrt 'y' and our bounds are in x, so we must convert to y bounds using the fact that x we defined our dummy variable 'y' interms of 'x'. That is all I am saying. Are you just pointing out that once we do that, we no longer have a function since it evaluates to a numerical value?
Yes.
 
  • #12
Ok thanks! I appreciate your patience :smile:
 
  • #13
Sure, you're welcome!
 

1. What is the Incomplete Gamma Function?

The Incomplete Gamma Function is a mathematical function used in statistics and probability theory to calculate the cumulative probability of a continuous random variable. It is denoted by the Greek letter Gamma (Γ) and is often used in conjunction with the Gamma distribution.

2. What is the notation used for the Incomplete Gamma Function?

The Incomplete Gamma Function is commonly denoted by the symbol Γ(a, x), where a is known as the shape parameter and x is the upper limit of integration. This notation is also sometimes written as Γ(a, x) = ∫0x e-t ta-1 dt, where t is a positive real number.

3. How is the Incomplete Gamma Function used in statistics?

The Incomplete Gamma Function is used to calculate the cumulative probability of a continuous random variable following a Gamma distribution. It is often used to determine the probability of a specific value or range of values occurring within a given distribution.

4. What is the relationship between the Incomplete Gamma Function and the Gamma Function?

The Incomplete Gamma Function is a special case of the Gamma Function, with the difference being that the Incomplete Gamma Function has a specific upper limit of integration. The Gamma Function, denoted by Γ(a), is a generalized form of the Incomplete Gamma Function and is used to calculate the factorial of non-integer numbers.

5. Are there any applications of the Incomplete Gamma Function outside of statistics?

Yes, the Incomplete Gamma Function has various applications in fields such as physics, engineering, and finance. It is commonly used to model phenomena such as radioactive decay, heat transfer, and stock option pricing. It also has applications in the calculation of special functions and in solving differential equations.

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