The random walk in one dimension is certain recurrent. at, for large n, u2n N de a proof, courtesy of Theorem2. Since is divergent, the clain

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Chapter1: Combinatorial Analysis
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(2n
1
U2n=
n 22n
Theorem 3. The random walk in one dimension is certain recurrent.
Proof
We claim that, for large n, 2n
would provide a proof, courtesy of Theorem 2.
Let N be a binomial random variable with p =
22n
By the Central Limit Theorem, for large n
1
P(n-≤N
≤N≤n+2)
~P(
where Z is a standard normal random variable.
6
Since is divergent, the claim
1/2 and 2n trials.
√n
P(n-1 ≤N≤ n + 1)
(13)
<2<
Transcribed Image Text:(2n 1 U2n= n 22n Theorem 3. The random walk in one dimension is certain recurrent. Proof We claim that, for large n, 2n would provide a proof, courtesy of Theorem 2. Let N be a binomial random variable with p = 22n By the Central Limit Theorem, for large n 1 P(n-≤N ≤N≤n+2) ~P( where Z is a standard normal random variable. 6 Since is divergent, the claim 1/2 and 2n trials. √n P(n-1 ≤N≤ n + 1) (13) <2<
- dx
≈
πη
Hence the claim is established, and the theorem follows.
Exercise 2. Fill in the details concerning the application of the CLT in the
proof.
Now we can give a proof of Theorem, and a little more:
Proof
Since the movements in each dimension are assumed to be independent, by
Theorem 3, when n is large
1
(14)
U2n
(Tn)
vi-0
So i = ∞ for d = 1,2; but
<∞o for d 23. By Theorem
the drunkard's walk in certain recurrent in dimensions 1 and 2; but uncertain
recurrent in dimensions 3 and higher.
Exercise 3. Much more is known about all this. Some things for you to research
Transcribed Image Text:- dx ≈ πη Hence the claim is established, and the theorem follows. Exercise 2. Fill in the details concerning the application of the CLT in the proof. Now we can give a proof of Theorem, and a little more: Proof Since the movements in each dimension are assumed to be independent, by Theorem 3, when n is large 1 (14) U2n (Tn) vi-0 So i = ∞ for d = 1,2; but <∞o for d 23. By Theorem the drunkard's walk in certain recurrent in dimensions 1 and 2; but uncertain recurrent in dimensions 3 and higher. Exercise 3. Much more is known about all this. Some things for you to research
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