Title: | Mathematics at DEC |
Moderator: | RUSURE::EDP |
Created: | Mon Feb 03 1986 |
Last Modified: | Fri Jun 06 1997 |
Last Successful Update: | Fri Jun 06 1997 |
Number of topics: | 2083 |
Total number of notes: | 14613 |
This problem came up as a homework problem from a Random Signals and Noise course I am presently taking. The problem has two parts: (1) find the probability density function (pdf) of Z given that Z=X+2Y and (2) Find P[0<Z<=1]. The answer from (1) should give the answer to (2) by integrating from z=0 to z=1. Here is the problem statement: Use convolution to find the probabilty density function of Z given that Z=X+2Y where f (x) and f (y) are defined as: X Y [ 2x 0<x<=1 f (x) = [ X [ 0 elsewhere "Y is uniformly distributed over the range -1 to 1" which I translated to: [ 1/2 -1 < y <= 1 f (y) = [ [ 0 elsewhere oo ("oo" is "infinity") Using convolution, f (z)= integral [ f (x) f ((z-x)/2) dx ] Z -oo X Y My answer for f (z) was: Z [ 0 z <= 0 [ (1/2)z**2 0 < z <= 1 f (z) = [ (1/2) 1 < z <= 2 Z [ (1/2)-(1/2)(z-2)**2 2 < z <= 3 [ 0 z > 3 This looked good because the integral over -oo to +oo is 1, a property of pdf's (see note below for other attempts). Using the above to do part (2), I get an answer of 1/6 when I integrate f(z) from 0 to 1. However, the book gives an answer of 1/4 ... which can be obtained by integrating the triangular region under y=(1-x)/2 from x=0 to x=1 (this is the region for which 0<x+2y<=1). Can someone tell me where I went wrong? Thanks in advance! Al PS: Here are the other f ((z-x)/2)'s I have tried: Y I had a hard time picking what f ((z-x)/2) should look like so I tried the Y "picture" approach to get a rectangle with height 1/2 and base 2. When I took the "mathematical" approach the base of the rectangle became 4 which left me wondering if I should adjust the height to be 1/4 instead of 1/2 (area should be 1?). With f ((z-x)/2) taken to be a rectangle with base of 4 and height of 1/4: Y [ 0 z <= 0 [ (1/4)z**2 0 < z <= 1 f (z) = [ 1/4 1 < z <= 4 Z [ (1/4)-(1/4)(z-4)**2 4 < z <= 5 [ 0 z > 5 (this also integrates to 1 over -oo to +oo) With f ((z-x)/2) taken to be a rectangle with base of 4 and height of 1/2: Y [ 0 z <= 0 [ (1/2)z**2 0 < z <= 1 f (z) = [ 1/2 1 < z <= 4 Z [ (1/2)-(1/2)(z-4)**2 4 < z <= 5 [ 0 z > 5 Neither of the above f(z)'s gives an answer of 1/4 for P[0<Z<=1].
T.R | Title | User | Personal Name | Date | Lines |
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1135.1 | AITG::DERAMO | Daniel V. {AITG,ZFC}:: D'Eramo | Sat Oct 07 1989 22:39 | 22 | |
With probability 1/4, Y will be less than -1/2, and so 2Y will be less than -1 and Z=X+2Y will be less than 0. Yet your solution for Z has Z always at least zero. Therefore your solution for f (z) is incorrect. Z A correct solution for Z will have nonzero probability for -2 < Z < 3 and zero probability outside that range, with an overall probability of at least 1/4 that Z is negative (the case of the first paragraph occurs with probability 1/4 but does not exhaust all possibilities of negative Z). The probability that 0 < Z <= 1 will be the integral as y goes from -1/2 to 0 of (1/2)dy times Prob(x > 2|y|), plus the integral as y goes from 0 to 1/2 of (1/2)dy times Prob(x <= 1-2y). Plugging in Prob(x > 2|y|) = 1 - 4y^2 for y in -1/2 to 0, and Prob(x <= 1-2y) = (1-2y)^2 for y in 0 to 1/2, gives Prob(0<Z<=1) = 1/6 + 1/12 = 1/4. Dan | |||||
1135.2 | My mistake | WFOVX5::PLANTE | Sun Oct 08 1989 12:52 | 31 | |
RE -.1, Thank you Dan. When I flipped the rectangle, f (y) --> f ((z-x)/2), I came up with Y Y the right edge being located at z+2, the left edge at z-2, and z in the middle. But, in evaluating the convolution integral, I used "z" to represent the leading (right) edge and "z-4" to represent the left edge -- that's where I was wrong. I had to use the rectangle with base=4, height=1/4. The change in height was justified by noting that since the function should be a pdf, then the height is related to the base such that the overall area = 1. My final answer was: [ 0 z <= -2 [ (1/4)(z+2)^2 -2 < z <= -1 f (z) = [ 1/4 -1 < z <= 2 Z [ (1/4)-(1/4)(z-2)^2 2 < z <= 3 [ 0 z > 3 This integrates to 1 over (-oo, +oo) and also gives P[0<Z<=1]=1/4. Also, P[Z<=0]=1/3 > 1/4, and the pdf is nonzero only on (-2, 3] as you mentioned. Thanks again. Al | |||||
1135.3 | AITG::DERAMO | Daniel V. {AITG,ZFC}:: D'Eramo | Sun Oct 08 1989 16:24 | 6 | |
That satisfies two other tests: it's weighted a little heavier at the top (like the X distribution is), and it combined linear and constant pdf's and came out quadratic. So that's "probably" :-) it. Dan |