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1. Let X be a random variable with values 1,2,3 equally likely, and let Y be independent with values 1,2,3,4,5,6 equally likely. Let Z=X+Y. (a) Compute E[X|Z]. (b) Compute E[Z|X]. (c) Let W=XY....

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1. Let X be a random variable with values 1,2,3 equally likely, and let Y be independent with values 1,2,3,4,5,6 equally likely. Let Z=X+Y.

(a) Compute E[X|Z].

(b) Compute E[Z|X].

(c) Let W=XY. Compute E[W|Y].

(d) Compute E[Y|W].

2. Let be simple random walk. Show that is a martingale.

3. Let X be a Binomial(n,/1/2), and let Y be zero if X is even and 1 if X is odd. (a) Find E[X|Y] and E[Y|X].

4. Consider the experiment in which 4 independent coins are tossed. Let X be the number of heads, and let Y be the remainder when X is divided by 3. (That is, Y is 0,1 or 2).

(a) Describe explicitly the sigma-field sigma(Y).

(b) Find the distribution of Y.

(c) Find Z=E[X|Y].

(d) Find EZ

(e) Find E[Y|X].

5. Let X be a random variable with finite expectation, and let be sigma-fields so that .

Show that is a martignale.

6. Show that for any random variable X with finite second moment we have .

Answered Same Day Dec 25, 2021

Solution

David answered on Dec 25 2021
117 Votes
a.
The table given below shows the workings of E (X/Z)
X/Y 1 2 3 4 5 6 P(Y/X)
1 2 3 4 5 6 7 0.333333
2 3 4 5 6 7 8 0.333333
3 4 5 6 7 8 9 0.333333
P(X/Y) 0.166667 0.166667 0.166667 0.166667 0.166667 0.166667 1
.
The table given below shows the workings of E (Z/X)
X/Y 1 2 3 4 5 6 P(Y/X)
1 2 3 4 5 6 7 0.333333
2 3 4 5 6 7 8 0.333333
3 4 5 6 7 8 9 0.333333
P(X/Y) 0.166667 0.166667 0.166667 0.166667 0.166667 0.166667 1
c.
W 1 2 3 4 5 6 8 9 10 12 15 18
1 2 2 2 1 3 1 1 1 2 1 1
P (W
= w)
0.055
556
0.111
111
0.111
111
0.111
111
0.055
556
0.166
667
0.055
556
0.055
556
0.055
556
0.111
111
0.055
556
0.055
556
The workings of E (Y/W) is...
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