Solved Assignment 12 - 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 #12: Solutions ECE 313
of Illinois Page 1 of 3 Spring 2002
1.(a),(b) The joint pdf is nonzero on the quarter-plane shown. For v > 0, the pdf of Y is given by
fY(v) =
u=–v
v
c•(v2–u2)•exp(–v)du = c•[v2u–u3/3]•exp(–v)
v
–v = c•(4/3)•v3•exp(–v). We recognize this as a
gamma pdf with parameters (4,1) which gives us that c•(4/3) = 1/Γ(4) = 1/3! and thus c = 1/8.
For u > 0, fX(u) =
v=u
(1/8)•(v2–u2)•exp(–v)dv = (1/8)•(–v2 –2v – 2 + u2))•exp(–v)
u= (1/4)•(1+u)•exp(–u)
while for u < 0, the integral is from v = -u to . Thus, we get fX(u) = (1/4)•(1+|u|)•exp(–|u|).
(c) The pdf of X is symmetric and the integral of u•(1/4)•(1+u)•exp(–u) from 0 to is finite (what’s that got to
do with it??) Hence, E[X] = 0.
1
2
1
2
2.(a) The computation of the double integral is left as an exercise since the final answer is known.
(b) fX(u) =
v=0
2
(6/7)•(u2 + uv/2)dv = (6/7)•[u2v + uv2/4]
2
0 = (6/7)•(2u2 + u) for 0 < u < 1, and 0 otherwise.
(c) P{X > Y} = P{(X,Y) shaded triangle shown} =
u=0
1
v=0
u
(6/7)•(u2 + uv/2)dv du = 15/56.
(d) P{Y > 1
2 | X < 1
2} = P{Y > 1
2 , X < 1
2}/P{X < 1
2}
= P{(X,Y) shaded rectangle shown}/P{(X,Y) shaded rectangle+crosshatched square}
Now, P{X < 1
2} =
u=0
1/2
(6/7)•(2u2 + u)du = (6/7)•[2u3/3 + u2/2]
1/2
0= 5
28 while
P{Y > 1
2 , X < 1
2} =
v=1/2
2
u=0
1/2
(6/7)•(u2 + uv/2)du dv =
v=1/2
2
(6/7)•[u3/3 + u2v/4]
1/2
0dv
=
v=1/2
2
(3/28)(1/3 + v/2) dv = 3
2823
16, giving that P{Y > 1
2 | X < 1
2} = 69
80.
(e) E[X] =
u=0
1
u•(6/7)•(2u2 + u)du = (6/7)•[u4/2 + u3/3]
1
0= 5
7
(f) fY(v) =
u=0
1
(6/7)•(u2+uv/2)du = (6/7)•[u3/3+u2v/4]
1
0 = (6/7)•(1/3 + v/4) for 0 < v < 2, and 0 otherwise.
Hence, E[Y] =
v=0
2
v•(6/7)•(1/3 + v/4)dv = (6/7)•[v2/6 + v3/12]
2
0= 8
7
pf3

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of Illinois Page 1 of 3 Spring 2002

1.(a),(b) The joint pdf is nonzero on the quarter-plane shown. For v > 0, the pdf of Y is given by

f Y (v) = ∫

u=–v

v c•(v^2 –u^2 )•exp(–v)du = c•[v^2 u–u^3 /3]•exp(–v)

v

–v

= c•(4/3)•v^3 •exp(–v). We recognize this as a

gamma pdf with parameters (4,1) which gives us that c•(4/3) = 1/Γ(4) = 1/3! and thus c = 1/8.

For u > 0, f X (u) = ∫

v=u

∞ (1/8)•(v^2 –u^2 )•exp(–v)dv = (1/8)•(–v^2 –2v – 2 + u^2 ))•exp(–v)

u

= (1/4)•(1+u)•exp(–u)

while for u < 0, the integral is from v = -u to ∞. Thus, we get f X (u) = (1/4)•(1+|u|)•exp(–|u|).

(c) The pdf of X is symmetric and the integral of u•(1/4)•(1+u)•exp(–u) from 0 to ∞ is finite (what’s that got to do with it??) Hence, E[ X ] = 0.

2.(a) The computation of the double integral is left as an exercise since the final answer is known.

(b) f X (u) = ∫

v=

2 (6/7)•(u^2 + uv/2)dv = (6/7)•[u^2 v + uv^2 /4]

2

0

= (6/7)•(2u^2 + u) for 0 < u < 1, and 0 otherwise.

(c) P{ X > Y } = P{( X , Y ) ∈ shaded triangle shown} = ∫

u=

1

v=

u (6/7)•(u^2 + uv/2)dv du = 15/56.

(d) P{ Y > 1

2 |^ X^ <^

1 2 } = P{ Y^ >^

1 2 ,^ X^ <^

1 2 }/P{ X^ <^

1 2 } = P{( X , Y ) ∈ shaded rectangle shown}/P{( X , Y ) ∈ shaded rectangle+crosshatched square}

Now, P{ X < 1

2 } =^ ∫

u=

1/ (6/7)•(2u^2 + u)du = (6/7)•[2u^3 /3 + u^2 /2]

1/

0

while

P{ Y >

1 2 ,^ X^ <^

1

2 } =^ ∫

v=1/

2

u=

1/

(6/7)•(u^2 + uv/2)du dv = ∫

v=1/

2 (6/7)•[u^3 /3 + u^2 v/4]

1/

0

dv

v=1/

2 (3/28)(1/3 + v/2) dv =

, giving that P{ Y > 1

2 |^ X^ <^

1 2 } =

(e) E[ X ] = ∫

u=

1 u•(6/7)•(2u^2 + u)du = (6/7)•[u^4 /2 + u^3 /3]

1

0

(f) f Y (v) = ∫

u=

1 (6/7)•(u^2 +uv/2)du = (6/7)•[u^3 /3+u^2 v/4]

1

0

= (6/7)•(1/3 + v/4) for 0 < v < 2, and 0 otherwise.

Hence, E[ Y ] = ∫

v=

2 v•(6/7)•(1/3 + v/4)dv = (6/7)•[v^2 /6 + v^3 /12]

2

0

of Illinois Page 2 of 3 Spring 2002

sin(π/6)=1/

1 r

1/ 1

3.(a) As is obvious from the left-hand figure, the chord is longer than the side of the inscribed equilateral triangle if its midpoint lies inside the inscribed circle. It is easily seen (or read in Ross!) that the radius of this inner circle is 1/2. Hence, P{random point lies inside inscribed circle} = ratio of areas = π(1/2)^2 /π(1)^2 = 1/4. Thus, we can choose between 1/2, 1/3, and 1/4 as the answer to the random chord problem!

(b) If the midpoint is at distance r from the center of the circle, the chord has length 2 1 – r^2. Thus, we have

that L = 2 1 – R^2 = 2 1 – X^2 – Y^2 where R is the distance of the random point ( X , Y ) from the origin. As before, 0 ≤ L ≤ 2, and for any x, 0 ≤ x ≤ 2, we have that F L (x) = P{ L ≤ x}

= P{2 1 – R^2 ≤ x} = P{ R ≥ 1 – x^2 /4 } = 1 – P{ R ≤ 1 – x^2 /4 } = 1 – π(1 – x 2 /4) π 12

= x^2 /4.

Hence, f L (x) = d dx

F L (x) = {

x/2, 0 ≤ x ≤ 2, 0, otherwise.

(c) E[ L ] = ∫

0

2 x•x/2dx = 4/3.

4.(a) The pdf is nonzero in the shaded region shown.

u

v

(b) f X (u) = ∫

v=u

v=∞ 2 exp (–u–v) dv = 2•exp(–2u) if u > 0, and 0 otherwise.

f Y (v) = ∫

u=

u=v 2 exp (–u–v) du = 2•exp(–v) – 2•exp (–2v) if v > 0, and 0 otherwise.

(c) The random variables are not independent: f X (u)f Y (v) ≠ f X , Y (u,v).

(d) P{ Y > 3 X } = ∫

u=

v=3u

v=∞

2exp(–u–v)dvdu = ∫

u=

2exp(–4u)du = 1/2.

(e) P{ X + Y < α} = ∫

u=

α/

v=u

v=α–u

2e–u–vdvdu = ∫

u=

u=α/ 2e–u[e–u–e–α+u]du = 1 – (1 + α)exp(–α) for α > 0.

The probability is 0 for α ≤ 0.

(f) f X + Y (α) = d dα [1 – (1 + α)(exp(–α)] = α•exp (–α) for α > 0, and 0 otherwise. This is a gamma density with parameters (2,1).