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Question:Prove Theorem 3.5.6.

Let X and Y have a continuous joint distribution. Suppose that

\(\;\left\{ {\left( {x,y} \right):f\left( {x,y} \right) > 0} \right\}\)is a rectangular region R (possibly unbounded) with sides (if any) parallel to the coordinate axes. Then X and Y are independent if and only if Eq. (3.5.7) holds for all\(\left( {x,y} \right) \in R\)

Short Answer

Expert verified

\(f\left( {x,y} \right) = {h_1}\left( x \right){h_2}\left( y \right)\)for all \(\left( {x,y} \right) \in R\)

Step by step solution

01

Given information

R be the rectangular region:

\(R = \left\{ {\left( {x,y} \right):{x_0} < x < {x_1},{y_0} < y < {y_1}} \right\}\) with \({x_0}\)

02

Computing probability

We assume that \(f\left( {x,y} \right) = \frac{{{h_1}\left( x \right)}}{{{h_2}\left( y \right)}}\) for all (x,y) that satisfy f(x,y)>0.

Then

Hence,

Again,\(f\left( {x,y} \right) = {h_1}\left( x \right){h_2}\left( y \right)\)for all (x,y) and

\(f\left( {x,y} \right) = {h_1}\left( x \right){h_2}\left( y \right)\)for all \(\left( {x,y} \right) \in R\)

Hence, proved.

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Most popular questions from this chapter

Let X be a random vector that is split into three parts,\(X = \left( {Y,Z,W} \right)\)Suppose that X has a continuous joint distribution with p.d.f.\(f\left( {y,z,w} \right)\).Let\({g_1}\left( {y,z|w} \right)\)be the conditional p.d.f. of (Y, Z) given W = w, and let\({g_2}\left( {y|w} \right)\)be the conditional p.d.f. of Y given W = w. Prove that\({g_2}\left( {y|w} \right) = \int {{g_1}\left( {y,z|w} \right)dz} \)

Suppose that the joint p.d.f. of two random variables X and Y is as follows:

\(f\left( {x,y} \right) = \left\{ \begin{aligned}c\sin x\;\;\;\;\;for\;0 \le x \le \frac{\pi }{2}\;\;and\;0 \le y \le 3\\0\;\;\;\;\;\;\;\;\;\;\;\;\;\;Otherwise\end{aligned} \right.\)

Determine (a) the conditional p.d.f. of Y for every given value of X, and

(b)\({\rm P}\left( {1 < y < \frac{2}{x} = 0.73} \right)\)

Let the initial probability vector in Example 3.10.6 be\(v = \left( {\frac{1}{{16}},\frac{1}{4},\frac{1}{8},\frac{1}{4},\frac{1}{4},\frac{1}{{16}}} \right)\)Find the probabilities of the six states after one generation.

Suppose that a box contains a large number of tacks and that the probability X that a particular tack will land with its point up when it is tossed varies from tack to tack in accordance with the following p.d.f.:

\(f\left( x \right) = \left\{ \begin{array}{l}2\left( {1 - x} \right)\;\;\;\;\;for\;0 < x < 1\\0\;\;\;\;\;\;\;\;\;\;\;\;\;otherwise\end{array} \right.\)

Suppose that a tack is selected at random from the box and that this tack is then tossed three times independently. Determine the probability that the tack will land with its point up on all three tosses.

Suppose thatnletters are placed at random innenvelopes, as in the matching problem of Sec. 1.10, and letqndenote the probability that no letter is placed in the correct envelope. Show that the probability that exactly one letter is placed in the correct envelope isqn−1.

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