Question 705062

SCQMEDIUM

A random walker takes a step of unit length towards right or left at any discrete time step. Starting from x=0x=0 at time t=0t=0, it goes right to reach x=1x=1 at t=1t=1. Hereafter if it repeats the direction taken in the previous step with probability pp, the probability that it is again at x=1x=1 at t=3t=3 is

(A)

1βˆ’p1-p

(B)

(1βˆ’p)2(1-p)^2

(C)

2p(1βˆ’p)2p(1-p)

(D)

4p2(1βˆ’p)4p^2(1-p)

Detailed Solution

At t=0t = 0, the position is x=0x = 0. At t=1t = 1, the position is x=1x = 1. This means the first step (Step 1) taken was towards the RIGHT.

We need to find the probability that the walker is at x=1x = 1 at t=3t = 3. Since the walker is already at x=1x = 1 at t=1t = 1, the net displacement over the next two steps (t=1β†’2t = 1 \to 2 and t=2β†’3t = 2 \to 3) must be zero. This is only possible if the walker takes one step RIGHT and one step LEFT (in any order).

There are two possible sequences of moves for Step 2 and Step 3:

Sequence 1: Moves RIGHT then LEFT (R β†’\to R β†’\to L)

  • Step 2 (t=1t = 1 to t=2t = 2): The walker moves RIGHT. Since the previous step (Step 1) was also RIGHT, the walker repeats its direction. Probability = pp (Position becomes x=2x = 2)
  • Step 3 (t=2t = 2 to t=3t = 3): The walker moves LEFT. Since the previous step (Step 2) was RIGHT, the walker changes its direction. Probability = 1βˆ’p1 - p (Position becomes x=1x = 1)
  • Probability of Sequence 1 = p(1βˆ’p)p(1 - p)

Sequence 2: Moves LEFT then RIGHT (R β†’\to L β†’\to R)

  • Step 2 (t=1t = 1 to t=2t = 2): The walker moves LEFT. Since the previous step (Step 1) was RIGHT, the walker changes its direction. Probability = 1βˆ’p1 - p (Position becomes x=0x = 0)
  • Step 3 (t=2t = 2 to t=3t = 3): The walker moves RIGHT. Since the previous step (Step 2) was LEFT, the walker changes its direction again. Probability = 1βˆ’p1 - p (Position becomes x=1x = 1)
  • Probability of Sequence 2 = (1βˆ’p)(1βˆ’p)=(1βˆ’p)2(1 - p)(1 - p) = (1 - p)^2

Total Probability: The total probability of being at x=1x = 1 at t=3t = 3 is the sum of the probabilities of these two mutually exclusive sequences: Total Probability = P(SequenceΒ 1)+P(SequenceΒ 2)\text{P(Sequence 1)} + \text{P(Sequence 2)} Total Probability = p(1βˆ’p)+(1βˆ’p)2p(1 - p) + (1 - p)^2

Taking (1βˆ’p)(1 - p) common: Total Probability = (1βˆ’p)[p+(1βˆ’p)](1 - p) [p + (1 - p)] Total Probability = (1βˆ’p)[1](1 - p) [1] Total Probability = 1βˆ’p1 - p

Final Answer: 1βˆ’p1 - p

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