Calculating E(XY) for Jointly Distributed Discrete Random Variables | Homework

Click For Summary

Homework Help Overview

The discussion revolves around calculating the expected value E(XY) for jointly distributed discrete random variables X and Y, given their probability mass function. The problem involves evaluating a double sum that includes terms dependent on both variables.

Discussion Character

  • Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants explore methods for calculating the double sum, with suggestions to perform the y-sum first and utilize known series expansions. Questions arise regarding the variables involved in these expansions and the implications of treating x as a constant during the y-sum.

Discussion Status

Some participants have provided guidance on how to approach the summation, while others express confusion about the dependencies in the terms and the conditions for convergence. There is an ongoing exploration of whether the order of summation can be switched and the implications of that choice.

Contextual Notes

Participants are also discussing the constraints on the parameter c, particularly its range and how it affects the convergence of the sums involved. There is a specific focus on proving certain inequalities related to the parameter without resorting to calculus.

kingwinner
Messages
1,266
Reaction score
0

Homework Statement


X and Y are joointly distributed discrete random variables with probability mass function
pX,Y(x,y)=(c/ec)(1-c)xcy/y!, x,y=0,1,2,..., 0<c<1
Find E(XY)


Homework Equations


The Attempt at a Solution


Code:
By definition,
E(X[SUP]Y[/SUP])
  ∞    ∞
= ∑    ∑  x[SUP]y[/SUP] (c/e[SUP]c[/SUP])(1-c)[SUP]x[/SUP]c[SUP]y[/SUP]/y!
 x=0  y=0
How can we calculate this double sum? We can pull out the constant c/ec, but what's next?

Thanks for any help!
 
Physics news on Phys.org
Do the y-sum first and use
[tex] \sum_{y=0}^\infty{\frac{Z^y}{y!}}=e^Z[/tex]
What is Z here?
Next do the x-sum using
[tex] \sum_{x=0}^\infty{a^x}=\frac{1}{1-a}[/tex]
What is a here? Is |a|<1?
 
Pere Callahan said:
Do the y-sum first and use
[tex] \sum_{y=0}^\infty{\frac{Z^y}{y!}}=e^Z[/tex]
What is Z here?
Next do the x-sum using
[tex] \sum_{x=0}^\infty{a^x}=\frac{1}{1-a}[/tex]
What is a here? Is |a|<1?

The xy is giving me some trouble doing the y-sum, it depends on both x and y, and I cannot separate it into a product, what should I do?
 
When doing the y-sum treat x as a constant.
 
OK, so
E(XY)

= ∑ [ec (1-c)]x (c/ec)
x=0
={1/[1-ec (1-c)]} (c/ec)

Did I get it right?


Also, why is |ec (1-c)|<1 ? How can we see this? I can only show 0<c<1 => 0<1-c<1 => 0<(1-c)ec<ec < e, but we need (1-c)ec<ec < 1, how can we prove this? This is giving me so much headache...please help...


Thank you!
 
Last edited:
Just out of curiousity, in this case, is it possible to sum over x FIRST, and then sum over y?

Code:
∞    ∞
∑    ∑  x[SUP]y[/SUP] (c/e[SUP]c[/SUP])(1-c)[SUP]x[/SUP]c[SUP]y[/SUP]/y!
y=0 x=0
 
kingwinner said:
OK, so
E(XY)

= ∑ [ec (1-c)]x (c/ec)
x=0
={1/[1-ec (1-c)]} (c/ec)

Did I get it right?
Yes.
kingwinner said:
Also, why is |ec (1-c)|<1 ? How can we see this? I can only show 0<c<1 => 0<1-c<1 => 0<(1-c)ec<ec < e, but we need (1-c)ec<ec < 1, how can we prove this? This is giving me so much headache...please help...
Try and find the maximum of ec (1-c) on the interval [0,1]. You surely know how to find the maximum of a differentiable function:smile: You will find that the function has its maximum when c=0 and this maximum value is 1.

For your other question: Sure you can but it's a lot more complicated.
 
"Try and find the maximum of ec (1-c) on the interval [0,1]. You surely know how to find the maximum of a differentiable function You will find that the function has its maximum when c=0 and this maximum value is 1."

OK, I got it! Thanks!
Is it possible to prove it without using calculus?
 
kingwinner said:
Is it possible to prove it without using calculus?

Still wondering...
 

Similar threads

  • · Replies 2 ·
Replies
2
Views
1K
  • · Replies 4 ·
Replies
4
Views
1K
Replies
7
Views
1K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 7 ·
Replies
7
Views
2K