Math, asked by vishal3549, 8 months ago

In a standard gambler's ruin problem with probabilities p= 0.50, find the expected duration of the game provided that the usual stakes of k units for the gambler and (a-k) units for opponent. if p=0.83 find the expected duration of game.​

Answers

Answered by nanibangaram
2

Answer:

Step-by-step explanation:

1 Gambler’s Ruin Problem

Let N ≥ 2 be an integer and let 1 ≤ i ≤ N − 1. Consider a gambler who starts with an

initial fortune of $i and then on each successive gamble either wins $1 or loses $1 independent

of the past with probabilities p and q = 1 − p respectively. Let Xn denote the total fortune

after the n

th gamble. The gambler’s objective is to reach a total fortune of $N, without first

getting ruined (running out of money). If the gambler succeeds, then the gambler is said to win

the game. In any case, the gambler stops playing after winning or getting ruined, whichever

happens first.

{Xn} yields a Markov chain (MC) on the state space S = {0, 1, . . . , N}. The transition

probabilities are given by Pi,i+1 = p, Pi,i−1 = q, 0 < i < N, and both 0 and N are absorbing

states, P00 = PNN = 1.1

For example, when N = 4 the transition matrix is given by

P =



1 0 0 0 0

q 0 p 0 0

0 q 0 p 0

0 0 q 0 p

0 0 0 0 1



.

While the game proceeds, this MC forms a simple random walk

Xn = i + ∆1 + · · · + ∆n, n ≥ 1, X0 = i,

where {∆n} forms an i.i.d. sequence of r.v.s. distributed as P(∆ = 1) = p, P(∆ = −1) = q =

1 − p, and represents the earnings on the successive gambles.

Since the game stops when either Xn = 0 or Xn = N, let

τi = min{n ≥ 0 : Xn ∈ {0, N}|X0 = i},

denote the time at which the game stops when X0 = i. If Xτi = N, then the gambler wins, if

Xτi = 0, then the gambler is ruined.

Let Pi(N) = P(Xτi = N) denote the probability that the gambler wins when X0 = i.

Pi(N) denotes the probability that the gambler, starting initially with $i, reaches a

total fortune of N before ruin; 1 − Pi(N) is thus the corresponding probably of ruin

Clearly P0(N) = 0 and PN (N) = 1 by definition, and we next proceed to compute Pi(N), 1 ≤

i ≤ N − 1.

Proposition 1.1 (Gambler’s Ruin Problem)

Pi(N) =

1−(

q

p

)

i

1−(

q

p

)N , if p 6= q;

i

N

, if p = q = 0.5.

(

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