Stochastic Processes: Estimation, Optimization & Analysis

Appendix A: Inequalities, Lemmas and Theorems

In this appendix we quote a number of results dealing with inequalities, lemmas and theorems. A knowledge of these results will be useful in the analysis of recursive stochastic algorithms.

We start by presenting a set of inequalities.

A.1 Inequalities

Triangle inequality A basic and commonly used inequality is certainly the triangle inequality for real numbers, i.e.,


To prove (A.1), it is enough to consider the four different cases (x, y ? 0;x ? 0, y ? 0;x ? 0, y ? 0, and x, y ? 0).

By taking the expectation on both sides of the triangle inequality (A.1), for real numbers, we derive


Based on this inequality, it is easy to verify that


Now we shall present the H lder inequality.

H lder inequality Let p and q be two real numbers greater than 1 such that


then


where x i and y i ( i = 1,..., n) are positive numbers.

Proof

Let a and b be two strictly positive real numbers, and define ? and ? as follows:


From the convexity property of the exponential function and condition (A.4) we derive:


and in view of (A.5), we get


Consider now 2 n positive numbers x 1, ..., x n and y 1, ..., y n, and let


then from (A.6) and for each i ( i = 1, ..., n), we obtain

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