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Let X₁, X₂,... be independent random variables, each taking a value of either 1 (with probability p) or −1 (with probability q = 1 − p). Assume So= = a for some a EZ and let Sn = a + X₁ for n ≥ 1. i=1 Sn is known as the simple random walk. Show that: (i) Sn is spatially homogenous: n P(Sn = b|So = a) = P(Sn = b +c|So = a + c). (ii) Sn is temporally homogenous: P(Sn = b|So = a) = P(Sm+n = b[Sm = a). (iii) Sn has the Markov property: P(Sm+n=b|So = a0, S₁ = a1,..., Sm = Note: |ai — ai_1] = 1 for 1 ≤ i < m am) = P(Sm+n = b|Sm = am).

Let X₁, X₂,... be independent random variables, each taking a value of either 1 (with probability p) or −1 (with probability q = 1 − p). Assume So= = a for some a EZ and let Sn = a + X₁ for n ≥ 1. i=1 Sn is known as the simple random walk. Show that: (i) Sn is spatially homogenous: n P(Sn = b|So = a) = P(Sn = b +c|So = a + c). (ii) Sn is temporally homogenous: P(Sn = b|So = a) = P(Sm+n = b[Sm = a). (iii) Sn has the Markov property: P(Sm+n=b|So = a0, S₁ = a1,..., Sm = Note: |ai — ai_1] = 1 for 1 ≤ i < m am) = P(Sm+n = b|Sm = am).

College Algebra
College Algebra
7th Edition
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter9: Counting And Probability
Section9.3: Binomial Probability
Problem 2E: If a binomial experiment has probability p success, then the probability of failure is...
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Let X₁, X₂,... be independent random variables, each taking a value of either 1 (with probability p) or -1 (with probability q = 1 − p). Assume So = a for some a € Z and let Sn is known as the simple random walk. Show that: (i) Sn is spatially homogenous: (ii) Sn is temporally homogenous: Sn = a + X₁ for n ≥ 1. Note: |ai-ai-1| (iii) Sn has the Markov property: = n P(Sn = b|So = a) = P(Sn = b + c|So = a + c). i=1 P(Sn = b|So = a) = P(Sm+n = b|Sm = a). P(Sm+nb|So ao, S₁ = a₁,..., Sm=am) = P(Sm+n=b|Sm= am). = 1 for 1 < i <m.
Transcribed Image Text:Let X₁, X₂,... be independent random variables, each taking a value of either 1 (with probability p) or -1 (with probability q = 1 − p). Assume So = a for some a € Z and let Sn is known as the simple random walk. Show that: (i) Sn is spatially homogenous: (ii) Sn is temporally homogenous: Sn = a + X₁ for n ≥ 1. Note: |ai-ai-1| (iii) Sn has the Markov property: = n P(Sn = b|So = a) = P(Sn = b + c|So = a + c). i=1 P(Sn = b|So = a) = P(Sm+n = b|Sm = a). P(Sm+nb|So ao, S₁ = a₁,..., Sm=am) = P(Sm+n=b|Sm= am). = 1 for 1 < i <m.
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