/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q4E Suppose that \({{\bf{X}}_{\bf{1}... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

Suppose that \({{\bf{X}}_{\bf{1}}}\;{\bf{and}}\;{{\bf{X}}_{\bf{2}}}\)have a continuous joint distribution

for which the joint p.d.f. is as follows:

\[f\left( {{x_1},{x_2}} \right) = \left\{ \begin{array}{l}{x_1} + {x_2}\;for\;0 < {x_1} < 1\;and\;0 < {x_2} < 1,\\ = 0,otherwise\end{array} \right.\]

Find the p.d.f. of \({\bf{Y = }}{{\bf{X}}_{\bf{1}}}{{\bf{X}}_{\bf{2}}}\)

Short Answer

Expert verified

The pdf of \(Y = {X_1}{X_2}\)

\(\begin{array}{l}g\left( y \right) = 2\left( {1 - y} \right),0 < y < 1\\{\rm{Therefore,Y}} \sim {\rm{Beta}}\left( {{\rm{1,3}}} \right)\end{array}\)\(\)

Step by step solution

01

Given information

\(f\left( {{x_1},{x_2}} \right) = \left\{ \begin{array}{l}{x_1} + {x_2}\;for\;0 < {x_1} < 1\;and\;0 < {x_2} < 1,\\ = 0,otherwise\end{array} \right.\)

02

Define the new variables and find their range

\(\begin{array}{l}Let,\\Y = {X_1}{X_2}\\Z = \frac{{{X_1}}}{{{X_2}}}\end{array}\)

To find the range of Y and Z (both dependent and independent ranges)

Now, Clearly,

\(\)\(\begin{array}{l}0 < Y < 1\\0 < X < 1\end{array}\)

03

Find the inverse of the variables and its range

\(\begin{aligned}{x_1} &= \sqrt {yz} \\{x_2} &= \sqrt {\frac{y}{z}} \\{\rm{Since,}}\\0 < {x_1} < 1\\ &\Rightarrow 0 < \sqrt {yz} < 1 \ldots \left( 1 \right)\end{aligned}\)

\(\begin{aligned}0 < {x_2} < 1\\ &\Rightarrow 0 < \sqrt {\frac{y}{z}} < 1\\ &\Rightarrow 0 < y < z \ldots \left( 2 \right)\end{aligned}\)

04

Finding the dependent range

By combining 1 and 2, we get,

\(\begin{array}{l}When,\\0 < z < 1\\0 < y < z\\ [range\;of\;y\;dependent\;on\;z]\\and\;when,\end{array}\)

\(\begin{array}{l}z > 1,\\0 < y < \frac{1}{z}\\ \Rightarrow y < z < \frac{1}{y}\\ [range\;of\;z\;dependent\;on\;y]\end{array}\)

05

Finding the joint distribution

The joint distribution of Y as well as Z find,

\(\begin{array}{l}{x_1} = \sqrt {yz} \\{x_2} = \sqrt {\frac{y}{z}} \end{array}\)

Perform the Jacobian transformation

\(\begin{aligned}J &= \left| {\begin{aligned}{}{\frac{{\partial {x_1}}}{{\partial y}}}&{\frac{{\partial {x_1}}}{{\partial z}}}\\{\frac{{\partial {x_2}}}{{\partial y}}}&{\frac{{\partial {x_2}}}{{\partial z}}}\end{aligned}} \right|\\ &= \left| {\begin{aligned}{}{\frac{{\sqrt z }}{{2\sqrt y }}}&{\frac{{\sqrt y }}{{2\sqrt z }}}\\{\frac{1}{{2\sqrt y \sqrt z }}}&{ - \frac{{\sqrt y }}{{2z\sqrt z }}}\end{aligned}} \right|\\ &= \left| {\frac{1}{{2z}}} \right|\end{aligned}\)

The joint pdf of Y and Z is

\(\begin{aligned}{f_y}_z\left( {y,z} \right) &= {f_{{x_1}{x_2}}}\left( {{x_1} \cdot {x_2}} \right)\left| J \right|\\ &= \frac{{\sqrt y }}{{2z}}\left( {\frac{1}{{\sqrt z }} + \sqrt z } \right)\\ &= \frac{{\sqrt y }}{2}\left( {\frac{1}{{\sqrt z }} + \frac{1}{{{z^{\frac{3}{2}}}}}} \right),0 < y < 1,0 < z < \infty ,y < z < \frac{1}{y},0 < yz < 1,0 < \frac{y}{z} < 1\end{aligned}\)

06

Integrating the pdf with respect to the range of z to get the pdf of y

\(\begin{aligned}{f_Y}\left( y \right) &= \int\limits_y {{f_{yz}}\left( {y,z} \right)dz} \\ &= \int\limits_y^{\frac{1}{y}} {\frac{{\sqrt y }}{2}\left( {\frac{1}{{\sqrt z }} + \frac{1}{{{z^{\frac{3}{2}}}}}} \right)dz} \\ &= 2\left( {1 - y} \right),0 < y < 1\\{\rm{Therefore,Y}} \sim {\rm{Beta}}\left( {{\rm{1,3}}} \right)\end{aligned}\)

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91Ó°ÊÓ!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Each time that a shopper purchases a tube of toothpaste, she chooses either brand A or brand B. Suppose that the probability is 1/3 that she will choose the same brand chosen on her previous purchase, and the probability is 2/3 that she will switch brands.

a. If her first purchase is brand A, what is the probability that her fifth purchase will be brand B?

b. If her first purchase is brand B, what is the probability that her fifth purchase will be brand B?

Suppose that the joint p.d.f. of two points X and Y chosen by the process described in Example 3.6.10 is as given by Eq. (3.6.15). Determine (a) the conditional p.d.f.of X for every given value of Y , and (b)\({\rm P}\left( {X > \frac{1}{2}|Y = \frac{3}{4}} \right)\)

Prove Theorem 3.8.2. (Hint: Either apply Theorem3.8.4 or first compute the cdf. separately for a > 0 and a < 0.)

Suppose that each of two gamblersAandBhas an initial fortune of 50 dollars and that there is a probabilitypthat gamblerAwill win on any single play of a game against gamblerB. Also, suppose either that one gambler can win one dollar from the other on each play of the game or that they can double the stakes and one can win two dollars from the other on each play of the game. Under which of these two conditions doesAhave the greater

probability of winning the initial fortune ofBbefore losing her own for each of the following conditions: (a)\(p < \frac{1}{2}\);

(b)\(p > \frac{1}{2}\); (c)\(p = \frac{1}{2}\)?

Each student in a certain high school was classified according to her year in school (freshman, sophomore, junior, or senior) and according to the number of times that she had visited a certain museum (never, once, or more than once). The proportions of students in the various classifications are given in the following table:

Never once More than once

than once

Freshmen 0.08 0.10 0.04

Sophomores 0.04 0.10 0.04

Juniors 0.04 0.20 0.09

Seniors 0.02 0.15 0.10

a. If a student selected at random from the high school is a junior, what is the probability that she has never visited the museum?

b. If a student selected at random from the high school has visited the museum three times, what is the probability that she is a senior?

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.