Discrete Stochastic Processes and Optimal Filtering

1.7: Exercises for Chapter 1

1.7 Exercises for Chapter 1

Exercise 1.1

Let X be an r.v. of distribution function


Calculate the probabilities:


Exercise 1.2

Given the random vector Z = ( X, Y) of probability density where K is a real constant and where , determine the constant K and the densities f X and f Y of the r.v. X and Y.

Exercise 1.3

Let X and Y be two independent random variables of uniform density on the interval [0,1]:

  1. Determine the probability density f Z of the r.v. Z = X + Y;

  2. Determine the probability density f U of the r.v. U = X Y.

Exercise 1.4

Let X and Y be two independent r.v. of uniform density on the interval [0,1].

Determine the probability density f U of the r.v. U = X Y.

Solution 1.4.

U takes its values in [0,1]

Let F U be the distribution function of U:

  • if u ? 0 F U ( u) = 0; if u ? 1 F U( u) = 1;

  • if u ?]0,1[: F U ( u) = P ( U ? u) = P( X Y ? u) = P(( X, Y) ? B u);

where B u = A ? B

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