Problem Set 10 Questions - Probability with Engineering Applications | ECE 313, Assignments of Statistics

Material Type: Assignment; Class: Probability with Engrg Applic; Subject: Electrical and Computer Engr; University: University of Illinois - Urbana-Champaign; Term: Spring 2002;

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University Problem Set #10 ECE 313
of Illinois Page 1 of 2 Spring 2002
Assigned: Wednesday, March 27, 2002
Due: Wednesday, April 3, 2002
Reading: Ross, Chapter 5, Chapter 9.1
Noncredit Exercises: Ross, Chapter 5: Problems 11, 13, 15-38; Theoretical Exercises 12-16,
21, 26, 28-30
Problems:
1. Let X denote a unit Gaussian random variable with pdf φ(u) and CDF Φ(u).
(a) What is the derivative of exp(–u2/2) with respect to u? Use this result to find E[|X|].
Now, let Q(x) =
x
φ(u) du =
x
( 2π)–1exp
u2
2 du = 1 – Φ(x).
(b) Some tables list the values of Q(x) (instead of Φ(x)) for large values of x. Why might the
tabulator have chosen to specify Q(x) instead of Φ(x)? Explain briefly.
The rest of this problem leads you through a derivation of the bounds (1/x–1/x3)φ(x) < Q(x) < φ(x)/x
mentioned in class and it also asks you to prove at another simpler bound on Q(x).
(c) Write the integrand for Q(x) as ( 2π)–1u–1(u•exp(–u2/2)) and integrate by parts to deduce
that Q(x) < x–1φ(x) for x > 0.. Repeat the trick of re–writing and integrating by parts to
show that x–1φ(x) – x–3φ(x) < Q(x). Are these bounds useful as x 0? Why or why
not? What is the asymptotic value of the ratio of the bounds as x ?
(d) A useful bound when x is small is Q(x) (1/2)exp(–x2/2) for x 0 in which equality holds
only at x = 0. Derive this bound by first showing that t2 – x2 > (t – x)2 for t > x > 0 and
then applying this result to exp(x2/2)Q(x) =
x
( 2π)–1exp
t2 – x2
2 dt
(e) For what values of x is this smaller than the upper bound of Eq.(4.4)?
2. Do either part (a) or part (b). Then do parts (c)–(e).
(a) Attach to your homework a photocopy of your calculator’s manual page(s) that explains
which formula your calculator uses to compute Q(x). Reading the page might help too!
Note: I do not want to know which buttons you have to press in order to find Q(x); I
want to know what formula your calculator uses internally to find Q(x).
The xerographically–challenged are permitted to just copy the relevant formulas to their
homework. NEXT: press the appropriate buttons to find Q(5).
If your calculator cannot compute Q(x), or if the manual does not state what formula is used to calculate
Q(x) but just tells you which buttons to press, or if you have lost the manual, do part (b) instead.
(b) Read Chapter 26.2 of Abramowitz and Stegun (reference book (not a reserve book) in
Grainger Engineering Library), and use Equation 26.2.17 to calculate Q(5).
This formula is also given on Slide 30 of Lecture 26 in the Powerpoint slides.
(c) The number found in part (a) or (b) is just an approximation to the value of Q(5). Use the
maximum error specification to find the range in which the actual value of Q(5) must
necessarily lie. What is the maximum relative error in the approximation to Q(5) that you
found in part (a) or (b)? Note: the relative error is defined as |true value–computed value|
true value
expressed as a percentage.
(d) On p. 972, Abramowitz and Stegun give the value of –log10Q(5) to be 6.54265…. Blindly
trust your calculator to do the exponentiation correctly and find the actual relative error in
the approximation to Q(5) that you found in part (a) or (b). What would the actual relative
pf2

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University Problem Set #10 ECE 313

of Illinois Page 1 of 2 Spring 2002

Assigned: Wednesday, March 27, 2002 Due: Wednesday, April 3, 2002 Reading: Ross, Chapter 5, Chapter 9. Noncredit Exercises: Ross, Chapter 5: Problems 11, 13, 15-38; Theoretical Exercises 12-16, 21, 26, 28- Problems:

1. Let X denote a unit Gaussian random variable with pdf φ(u) and CDF Φ(u).

(a) What is the derivative of exp(–u^2 /2) with respect to u? Use this result to find E[| X |].

Now, let Q(x) = ∫

x

∞ φ(u) du = ⌡

x

( 2 π)–1exp 

  • u

2 2 du = 1 – Φ(x).

(b) Some tables list the values of Q(x) (instead of Φ(x)) for large values of x. Why might the

tabulator have chosen to specify Q(x) instead of Φ(x)? Explain briefly. The rest of this problem leads you through a derivation of the bounds (1/x–1/x^3 )φ(x) < Q(x) < φ(x)/x mentioned in class and it also asks you to prove at another simpler bound on Q(x).

(c) Write the integrand for Q(x) as ( 2 π)–1u–1(u•exp(–u^2 /2)) and integrate by parts to deduce

that Q(x) < x–1•φ(x) for x > 0.. Repeat the trick of re–writing and integrating by parts to show that x–1•φ(x) – x–3•φ(x) < Q(x). Are these bounds useful as x → 0? Why or why not? What is the asymptotic value of the ratio of the bounds as x → ∞?

(d) A useful bound when x is small is Q(x) ≤ (1/2)exp(–x^2 /2) for x ≥ 0 in which equality holds

only at x = 0. Derive this bound by first showing that t^2 – x^2 > (t – x)^2 for t > x > 0 and

then applying this result to exp(x^2 /2)Q(x) = ⌡

x

( 2 π)–1exp 

t  (^2) – x 2 2 dt

(e) For what values of x is this smaller than the upper bound of Eq.(4.4)?

2. Do either part (a) or part (b). Then do parts (c)–(e). (a) Attach to your homework a photocopy of your calculator’s manual page(s) that explains which formula your calculator uses to compute Q(x). Reading the page might help too! Note: I do not want to know which buttons you have to press in order to find Q(x); I want to know what formula your calculator uses internally to find Q(x). The xerographically–challenged are permitted to just copy the relevant formulas to their homework. NEXT: press the appropriate buttons to find Q(5). If your calculator cannot compute Q(x), or if the manual does not state what formula is used to calculate Q(x) but just tells you which buttons to press, or if you have lost the manual, do part (b) instead. (b) Read Chapter 26.2 of Abramowitz and Stegun ( reference book (not a reserve book) in Grainger Engineering Library), and use Equation 26.2.17 to calculate Q(5). This formula is also given on Slide 30 of Lecture 26 in the Powerpoint slides. (c) The number found in part (a) or (b) is just an approximation to the value of Q(5). Use the maximum error specification to find the range in which the actual value of Q(5) must necessarily lie. What is the maximum relative error in the approximation to Q(5) that you

found in part (a) or (b)? Note: the relative error is defined as

|true value–computed value|

true value expressed as a percentage. (d) On p. 972, Abramowitz and Stegun give the value of –log 10 Q(5) to be 6.54265…. Blindly trust your calculator to do the exponentiation correctly and find the actual relative error in the approximation to Q(5) that you found in part (a) or (b). What would the actual relative

University Problem Set #10 ECE 313

of Illinois Page 2 of 2 Spring 2002

error have been if you had simply used the upper bound φ(5)/5 as an approximation to Q(5)? What if you had used the lower bound (1/5–1/5^3 )φ(5) as an approximation to Q(5)? (e) Explain why the “much easier” Equation 26.2.18 of Abramowitz and Stegun is not particularly useful for computing Q(5).

3. A signal x(t) = exp(–πt^2 ), –∞ < t < ∞, is passed through a low-pass filter whose transfer

function is H(f) = {

2, –1 ≤ f ≤ 1, 0, 1 < |f| < ∞. Let y(t) denote the output of the filter. Compute the value of y(0). A numerical answer is desired. [Hint: X(f) = exp(–πf^2 ), –∞ < f < ∞.]

4. X is a continuous random variable with pdf f X (u) = 0.5 exp (– |u|), – ∞ < u < ∞.

(a) What is the value of P{ X ≤ ln 2}?

(b) Find the conditional probability that P{| X | ≤ ln 2} given that { X ≤ ln 2}.

(c) Find the numerical value of P{cos(π X /2) < 0}. (d) Now suppose that X denotes the voltage applied to a semiconductor diode, and that the

current Y is given by Y = e X^ – 1. Find the pdf of Y.

5. The random variable X has probability density function f X (u) = 

2(1 – u), 0 ≤ u ≤ 1 , 0, elsewhere. Let Y = (1 – X )^2. (a) What is the CDF F Y (v) of the random variable Y? Be sure to specify the value of F Y (v) for all v, –∞ < v < ∞. (b) Show that the F Y (v) that you found in part (b) is a nondecreasing continuous function.

6. The radius of a sphere is a random variable R with pdf f R (ρ) = 

 3 ρ^2 , 0 < ρ < 1 , 0 elsewhere. (a) Use LOTUS to find the average radius, average volume and average surface area of the sphere. Does a sphere of average radius also have average volume? Does a sphere of average radius also have average surface area?

(b) Find the CDF F V (α) and pdf f V (α) of V , the volume of the sphere. (c) Find E[ V ] directly from this pdf. Do you get the same answer as in part (a)? Why not? (d) If the sphere is made of metal and carries an electrical charge of Q coulombs, what is the CDF F S (x) and the pdf f S (x) of the surface charge density S on the sphere?

7. Ross, Problem 35, p. 231 (6th edition) or Problem 33, p. 236 (5th edition)