2) Let X₁, X₂, X3,... be a sequence of independent and identically distributed Bernoulli random variables with probability of success. If S₁ = 1X₁, then prove that for any e > 0, lim P(IS-01

Linear Algebra: A Modern Introduction
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ISBN:9781285463247
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Chapter4: Eigenvalues And Eigenvectors
Section4.6: Applications And The Perron-frobenius Theorem
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2) Let X₁, X₂, X3,... be a sequence of independent and identically distributed Bernoulli
random variables with probability of success. If S₁ = 1X₁, then prove that for
any e > 0,
3) Let X₁, X2, X, be mutually independent and identically distributed exponential
random variables with parameter = 1. Show that,
lim Mx (t) = et
11-00
***
lim P(S0<e) = 1
71-00
n
Where, X ==-1X₁
Transcribed Image Text:2) Let X₁, X₂, X3,... be a sequence of independent and identically distributed Bernoulli random variables with probability of success. If S₁ = 1X₁, then prove that for any e > 0, 3) Let X₁, X2, X, be mutually independent and identically distributed exponential random variables with parameter = 1. Show that, lim Mx (t) = et 11-00 *** lim P(S0<e) = 1 71-00 n Where, X ==-1X₁
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