Utah State University - ECE 6010 Homework 3: Problems on Stochastic Processes, Assignments of Stochastic Processes

The third homework assignment for the stochastic processes course (ece 6010) at utah state university. The assignment covers various topics including indicator functions, characteristic functions, jointly gaussian random variables, conditional probability densities, and jensen's and schwartz inequalities.

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Pre 2010

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Utah State University
ECE 6010
Stochastic Processes
Homework # 3
Due Friday Sept. 23, 2005
1. Suppose Xand Yare the indicator functions of events Aand B, respectively. Find
ρ(X, Y ), and show that Xand Yare independent if and only if ρ(X, Y ) = 0.
2. Suppose φ(u) is a ch.f. Show that |φ(u)|2is also a ch.f.
3. Suppose Xand Yare jointly Gaussian. Use ch.f.s to show that ρ(X, Y ) = ρ.
4. Suppose Xand Yare jointly continuous. (a) Show that
FY|X(b|x) = Zb
−∞
fXY (x, y )
fX(x)dy
and thus that
fY|X(y|x) = fXY (x, y)
fX(x)
(b) Suppose R
−∞ |y|fY|X(y|x)dy < . Show that E[Y|X=x] = R
−∞ yfY|X(y|x)dy.
5. Suppose Xand Yare independent continuous r.v.s with c.d.f.s FXand FY, respectively.
Suppose further that FX(b)FY(b) for all bR. Show that P(XY)1/2.
6. Prove Jensen’s inequality for the case of simple-function r.v.’s
7. Prove the Schwartz inequality.
Problems from Grimmet & Stirzaker:
1. Prob 2.7.4
2. Prob 2.7.7. Hint: binomial distribution
3. Prob 2.7.9. Hint:
P(Xx) = (0x < 0,
1limy↑−xF(y)x0.
1
pf2

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Utah State University

ECE 6010

Stochastic Processes

Homework # 3

Due Friday Sept. 23, 2005

  1. Suppose X and Y are the indicator functions of events A and B, respectively. Find ρ(X, Y ), and show that X and Y are independent if and only if ρ(X, Y ) = 0.
  2. Suppose φ(u) is a ch.f. Show that |φ(u)|^2 is also a ch.f.
  3. Suppose X and Y are jointly Gaussian. Use ch.f.s to show that ρ(X, Y ) = ρ.
  4. Suppose X and Y are jointly continuous. (a) Show that

FY |X (b|x) =

∫ (^) b −∞

fXY (x, y) fX (x) dy and thus that fY |X (y|x) = fXY fX^ ( (x, yx)) (b) Suppose ∫^ −∞∞ |y|fY |X (y|x) dy < ∞. Show that E[Y |X = x] = ∫^ −∞∞ yfY |X (y|x) dy.

  1. Suppose X and Y are independent continuous r.v.s with c.d.f.s FX and FY , respectively. Suppose further that FX (b) ≥ FY (b) for all b ∈ R. Show that P (X ≥ Y ) ≤ 1 / 2.
  2. Prove Jensen’s inequality for the case of simple-function r.v.’s
  3. Prove the Schwartz inequality.

Problems from Grimmet & Stirzaker:

  1. Prob 2.7.
  2. Prob 2.7.7. Hint: binomial distribution
  3. Prob 2.7.9. Hint: P (X−^ ≤ x) =

0 x < 0 , 1 − limy↑−x F (y) x ≥ 0.

1

  1. Ex 3.3.1. Hint: Let pX (−1) = 19 , pX (^12 ) = 49 and pX (2) = 49.
  2. Ex 3.4.1. Let Ij be the indicator function of the event that the outcome of the (j + 1)st toss is different from the outcome of the jth toss. The number R of distinct runs is R = 1 + ∑n j=1−^1 Ij. Observe that Ij and Ik are independent if |j − k| > 1. Show that E[(R − 1)^2 ] = (n − 1)E[I 1 ] + 2(n − 2)E[I 1 I 2 ] + ((n − 1)^2 − (n − 1) − 2(n − 2))E[I 1 ]^2. Show that E[I 1 I 2 ] = p^2 q + pq^2 = pq.
  3. Ex. 3.4.2. Hint: Let T = ∑ki=1 Xi, where Xi is the number on the ith ball. Show that: E[T ] = 12 k(n + 1). show that E[T 2 ] = 16 k(n + 1)(2n + 1) + 121 k(k − 1)(3n + 2)(n + 1). Hint: (^) ∑N

k=

k = n(n^2 + 1) ∑^ n k=

k^2 = n(n^ + 1)(2 6 n^ + 1). ∑^ n k=

k^3 =

[n(n + 1) 2

] 2

  1. Ex 3.5.2. Hint: P (H = x) = ∑∞ n=x P (H = x|N = n)P (N = n).
  2. Ex 3.6.5. Hint: log y ≤ y − 1, with equality if and only if y = 1.