a- Let X be a geometrically distributed random variable, i.e., P(X = k) = p(1 – p-', k = 1, 2, 3,... 1. Find the entropy of X. 2. Given that X > K, where K is a positive integer, what is the entropy of X?

A First Course in Probability (10th Edition)
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Author:Sheldon Ross
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Chapter1: Combinatorial Analysis
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Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Problem 3:
a-
Let X be a geometrically distributed random variable, i.e.,
P(X = k) = p(1 – p*-1,
k = 1, 2, 3, ...
1. Find the entropy of X.
2. Given that X > K, where K is a positive integer, what is the entropy of X?
b-
The output of a DMS consists of the possible letters x1, x2,..., Xn, which occur with
probabilities p1, P2, , Pn, respectively. Prove that the entropy H(X) of the source is at
most log n. Find the probability density function for which H(X) = logn.
Transcribed Image Text:Problem 3: a- Let X be a geometrically distributed random variable, i.e., P(X = k) = p(1 – p*-1, k = 1, 2, 3, ... 1. Find the entropy of X. 2. Given that X > K, where K is a positive integer, what is the entropy of X? b- The output of a DMS consists of the possible letters x1, x2,..., Xn, which occur with probabilities p1, P2, , Pn, respectively. Prove that the entropy H(X) of the source is at most log n. Find the probability density function for which H(X) = logn.
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