Solutions Manual: For Random Signals and Noise a Mathematical Introduction (1st Edition) - Graded A+ Comprehensi...

STUDY NOTES & REFERENCE GUIDE




All 11 Chapters Covered




SOLUTIONS




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Solutions Manual
···




SUMMARY: In this chapter we present complete solution to the
exercises set in the text.




Chapter 1
1. Problem 1. As defined in the problem, — A B is composed of the
elements in A that are not in B. Thus, the items to be noted are true.
Making use of the properties of the probability function, we find that:
P (A ∪ B) = P (A) + P (B — A)
and that:
P (B) = P (B — A) + P (A ∩ B).
Combining the two results, we find that:
P (A ∪ B) = P (A) + P (B) — P (A ∩ B).

2. Problem 2.
(a) It is clear that fX (α) ≥ 0. Thus, we need only check that the
integral of the PDF is equal to 1. We find that:
∫∞
∞
X
(α) dα = 0.5 e−|α| dα
∫−∞ f −∞
∫ 0 ∫ ∞

= eα dα e−α dα
0.5 −∞ + 0
= 0.5(1 + 1)
= 1.
Thus fX (α) is indeed a PDF.
(b) Because fX (α) is even, its expected value must be zero.
Addition- ally, because α2fX (α) is an even function of α, we find
that:
∫ ∫ @ Se
∞ ∞ @ Siesimsmicicsiosloaltaiotinon
α2f X α) dα = 2 α2f
X(
−∞ 0

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(α) dα



1




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2 Random Signals and Noise: A Mathematical
Introduction ∫∞
= α2e−α dα
0
∫ ∞
= (—α2 −α|∞
by parts 0 + αe −α dα
e 2 ∫0 ∞
by parts −α ∞ −α
= 2(— |0 ) + 2 e dα
αe 0


= 2.
Thus, E(X ) = 2. As E(X) = 0, we find that σ2 X= 2 and σX =
√
2


2.

3. Problem 3.
∫ ∞
The expected value of the random variable is:
E(X) = √ αe−(α− dα
1 µ)2 /(2σ2
2 ∫ −∞
π
u=(α−µ)/σ σ
···
1 −u 2/2
∞
= √ (σu + dα.
2π µ)e
−∞
2
Clearly the piece of the integral associated with ue−u /2 is zero. The
remaining integral is just µ times the integral of the PDF of the standard
normal RV—and must be equal to µ as advertised.
Now let us consider the variance of the RV—let us consider E((X— µ)2).
We find that: ∫∞
E((X — µ) ) =
2
√ (α — µ)2e−(α− dα
1 µ)2 /(2σ2
2π ∫−∞
∞
u=(α−µ)/σ 2σ 1 2 −u2 /2
= σ √ u dα.
e 2
π −∞

As this is just σ2 times the variance of a standard normal RV, we find
that the variance here is σ2.

4. Problem 4.

(a) Clearly (β —α)2 ≥ 0. Expanding this and rearranging it a bit we
find that:
β2 ≥ 2αβ — α2.

(b) Because β2 ≥ 2αβ α2 and e−a is a decreasing function of a, the
inequality must hold.
2
∞ β /2
(c)
∫
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− siosloaltaiotinon
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