1. (Markov's and Chebyshev's Inequality) a) Use Markov's inequality to show that for a sequence of positive random variables X1, X2, ... with values in N = {0, 1, 2, ...} and lim; 0 E[X;] = 0, it holds that lim;00 P[X; = 0] = 1. b) Use Markov's and Chebyshev's inequality to give two upper bounds on the probability that an exponential distributed random variable with parameter A (rate) is larger than x. Calculate the bounds explicitly for = 5 and x = 3,
1. (Markov's and Chebyshev's Inequality) a) Use Markov's inequality to show that for a sequence of positive random variables X1, X2, ... with values in N = {0, 1, 2, ...} and lim; 0 E[X;] = 0, it holds that lim;00 P[X; = 0] = 1. b) Use Markov's and Chebyshev's inequality to give two upper bounds on the probability that an exponential distributed random variable with parameter A (rate) is larger than x. Calculate the bounds explicitly for = 5 and x = 3,
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
![1.
(Markov's and Chebyshev's Inequality)
a) Use Markov's inequality to show that for a sequence of positive random variables X1, X2, ...
with values in N = {0,1, 2, ...} and lim;00 E[X;] = 0, it holds that lim;» P[X; = 0] = 1.
b) Use Markov's and Chebyshev's inequality to give two upper bounds on the probability
that an exponential distributed random variable with parameter A (rate) is larger than x.
Calculate the bounds explicitly for )
→00
5 and x =
3,](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff20011ab-ef99-4cb7-8e76-44fbefc433c5%2Fcddc7cfc-6dab-414a-8ced-be6413f2fb5f%2Fq3q1lbp_processed.jpeg&w=3840&q=75)
Transcribed Image Text:1.
(Markov's and Chebyshev's Inequality)
a) Use Markov's inequality to show that for a sequence of positive random variables X1, X2, ...
with values in N = {0,1, 2, ...} and lim;00 E[X;] = 0, it holds that lim;» P[X; = 0] = 1.
b) Use Markov's and Chebyshev's inequality to give two upper bounds on the probability
that an exponential distributed random variable with parameter A (rate) is larger than x.
Calculate the bounds explicitly for )
→00
5 and x =
3,
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