1. For n, k nonnegative integers with 0 ≤ k ≤ n, recall that the binomial coefficient, (2) can be written as n(n−1)…..(n−k+1). We generalize it as follows k! - r(r — 1) · · · (r — k + 1) - == k k! (1.1) for r € R and k nonnegative integer. Consequently, we have the binomial expansion for rЄ R. (1+x)" = Σ xk k k=0 (1.2) Recall the 1-D simple random walk (SRW): Pi,i+1 = p, Pi,i−1 = q where p + q = 1; and Pi,j = 0 for 0 ≤ |i – j| or |i – j| > 1. Show that 1 (i) (-1/2) = (−1) (2) 2, for n = 0, 1, 2, ...; (ii) Po,o(s) = (1-4pqs²)-1/2 for s <1; (Here Po,o(s) is the generating function of the Pro's where Pro denotes the conditional probability the SRW is at state 0 at time n given that it started at 0.) (iii) Compute lim,→1- Po,o(s) for p 1/2 and p = 1/2. This problem is a continuation of T3Q1 on 1-D Simple Random Walk. Refer to our course notation. (i) Show that Fo,o(s) = 1 - √√1 - 4pqs² for |s| < 1. (ii) Hence, or otherwise, compute for,0 for each p = (0, 1). (iii) For p = 1/2, show that Σn-1 nf,0 = ∞.

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter3: Functions And Graphs
Section3.3: Lines
Problem 26E
Question

Hi I want to ask question in the first picture. T3Q1 is shown in the second picture.

1. For n, k nonnegative integers with 0 ≤ k ≤ n, recall that the binomial coefficient,
(2) can be written as n(n−1)…..(n−k+1). We generalize it as follows
k!
-
r(r — 1) · · · (r — k + 1)
-
==
k
k!
(1.1)
for r € R and k nonnegative integer. Consequently, we have the binomial expansion
for rЄ R.
(1+x)"
=
Σ
xk
k
k=0
(1.2)
Recall the 1-D simple random walk (SRW): Pi,i+1 = p, Pi,i−1 = q where p + q = 1;
and Pi,j = 0 for 0 ≤ |i – j| or |i – j| > 1.
Show that
1
(i) (-1/2) = (−1) (2) 2, for n = 0, 1, 2, ...;
(ii) Po,o(s) = (1-4pqs²)-1/2 for s <1;
(Here Po,o(s) is the generating function of the Pro's where Pro denotes the
conditional probability the SRW is at state 0 at time n given that it started
at 0.)
(iii) Compute lim,→1- Po,o(s) for p 1/2 and p = 1/2.
Transcribed Image Text:1. For n, k nonnegative integers with 0 ≤ k ≤ n, recall that the binomial coefficient, (2) can be written as n(n−1)…..(n−k+1). We generalize it as follows k! - r(r — 1) · · · (r — k + 1) - == k k! (1.1) for r € R and k nonnegative integer. Consequently, we have the binomial expansion for rЄ R. (1+x)" = Σ xk k k=0 (1.2) Recall the 1-D simple random walk (SRW): Pi,i+1 = p, Pi,i−1 = q where p + q = 1; and Pi,j = 0 for 0 ≤ |i – j| or |i – j| > 1. Show that 1 (i) (-1/2) = (−1) (2) 2, for n = 0, 1, 2, ...; (ii) Po,o(s) = (1-4pqs²)-1/2 for s <1; (Here Po,o(s) is the generating function of the Pro's where Pro denotes the conditional probability the SRW is at state 0 at time n given that it started at 0.) (iii) Compute lim,→1- Po,o(s) for p 1/2 and p = 1/2.
This problem is a continuation of T3Q1 on 1-D Simple Random Walk.
Refer to our course notation.
(i) Show that Fo,o(s) = 1 - √√1 - 4pqs² for |s| < 1.
(ii) Hence, or otherwise, compute for,0 for each p = (0, 1).
(iii) For p = 1/2, show that Σn-1 nf,0 = ∞.
Transcribed Image Text:This problem is a continuation of T3Q1 on 1-D Simple Random Walk. Refer to our course notation. (i) Show that Fo,o(s) = 1 - √√1 - 4pqs² for |s| < 1. (ii) Hence, or otherwise, compute for,0 for each p = (0, 1). (iii) For p = 1/2, show that Σn-1 nf,0 = ∞.
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