Moment Generating Function - Integration Help

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Homework Help Overview

The discussion revolves around a probability theory problem involving the joint density function of two random variables, (X,Y). Participants are tasked with finding the moment generating function (MGF) of (X,Y) and determining whether X and Y are independent, along with calculating covariance if they are not.

Discussion Character

  • Exploratory, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the setup of the integral for the MGF and express difficulties with integration techniques, including integration by parts. Questions arise regarding the clarity of the joint density function's expression and the order of integration.

Discussion Status

Some participants have clarified the form of the joint density function and are exploring different integration strategies. There is an ongoing exchange of ideas about how to approach the integration, with suggestions to simplify the expression and focus on specific integrals needed for the calculations.

Contextual Notes

Participants note the constraints of the integration limits being from -1 to 1 for both variables and express uncertainty about how to represent these limits in their setup. There is also mention of potential errors in the formulation of the joint density function.

ARLM
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I am working on a probability theory problem:

Let (X,Y) be distributed with joint density
f(x,y)=(1/4)(1+xy(x^2-y^2)) if abs(x)≤1, abs(y)≤1; 0 otherwise

Find the MGF of (X,Y). Are X,Y independent? If not, find covariance.

I have set up the integral to find the mgf

∫∫e^(sx+ty)f(x,y)dx dy
with both integrals from -1 to 1.

I am having trouble integrating this though in order to move on with the problem. I began to try integration by parts and I do not think that is the best route but have no other ideas.
If anyone can help, I would greatly appreciate it!
 
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ARLM said:
I am working on a probability theory problem:

Let (X,Y) be distributed with joint density
f(x,y)=1/4(1+xy(x^2-y^2)) if abs(x)≤1, abs(y)≤1; 0 otherwise

Find the MGF of (X,Y). Are X,Y independent? If not, find covariance.

I have set up the integral to find the mgf

∫∫e^(sx+ty)f(x,y)dx dy
with both integrals from -1 to 1.

I am having trouble integrating this though in order to move on with the problem. I began to try integration by parts and I do not think that is the best route but have no other ideas.
If anyone can help, I would greatly appreciate it!

Please use parentheses. Do you mean
[tex]f(x,y) = \frac{1}{4}(1 + xy(x^2 - y^2)),[/tex]
or do you mean
[tex]f(x,y) = \frac{1}{4(1 + xy(x^2 - y^2))}?[/tex]
If you mean the first one, just write (1/4)(...) to make it clear; if you mean the second one, write 1/(4(...)).
 
Yes, I mean the first one! Thank you.
 
ARLM said:
Yes, I mean the first one! Thank you.

OK. So given the conditions on |x| and |y|, what are the ranges of x and y themselves?

Since you have a 2-variable integration, you can integrate first over y (for any fixed x), then integrate the result over x; or you can do it in the other order. Is that what you have tried to do?

You really need to supply more details, since we have no way of helping if we do not know where you are stuck.
 
I set up the integral
[itex]\frac{1}{4}[/itex][itex]\int[/itex][itex]\int[/itex]e[itex]^{sx+ty}[/itex](1+xy(x[itex]^{2}[/itex]+y[itex]^{2}[/itex]))dx dy

Both integrals are from -1 to 1 (I don't know how to show that)

I tried distributing xy and using integration by parts with u = 1+(x^3)y +x(y^3) and dv= e^(sx+ty) but not sure that this is the right idea because it would take numerous integrations before reducing to one function and then I would have to do it again for the second integral.

Other than that, I haven't tried anything.
 
ARLM said:
I set up the integral
[itex]\frac{1}{4}[/itex][itex]\int[/itex][itex]\int[/itex]e[itex]^{sx+ty}[/itex](1+xy(x[itex]^{2}[/itex]+y[itex]^{2}[/itex]))dx dy

Both integrals are from -1 to 1 (I don't know how to show that)

The [itex]x^2 - y^2[/itex] in the original seems to have turned into [itex]x^2 + y^2[/itex].

I tried distributing xy and using integration by parts with u = 1+(x^3)y +x(y^3) and dv= e^(sx+ty) but not sure that this is the right idea because it would take numerous integrations before reducing to one function and then I would have to do it again for the second integral.

Other than that, I haven't tried anything.

Use the fact that [itex]e^{sx+ty} = e^{sx}e^{ty}[/itex], and that [itex]e^{sx}[/itex] does not depend on y to get
[tex] \frac14 \int_{-1}^1 e^{sx}\left(\int_{-1}^1 e^{ty}(1 + xy(x^2 - y^2))\,\mathrm{d}y\right)\,\mathrm{d}x[/tex]

Start by working out [itex]\int_{-1}^1 xe^{kx}dx[/itex], [itex]\int_{-1}^1 x^2e^{kx}dx[/itex], and [itex]\int_{-1}^1 x^3e^{kx}dx[/itex]. You're going to need these repeatedly, so you may as well do them once and then write in the values as needed.

You may also want to note that [itex]e^k - e^{-k} = 2\sinh k[/itex] and that [itex]e^k + e^{-k} = 2\cosh k[/itex]
 
Ok, thanks!
 

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