Final answer:
To find E(J), we can use the Markov property and conditional expectation. We break down E(J) into two cases: if Mark jumps successfully from block 1 to block 2, or if Mark falls into the lava. Solving the equation, we find that E(J) = 2. This problem relates to a coin tossing problem because each jump Mark makes has a 1/2 probability of success and a 1/2 probability of failure, similar to flipping a fair coin.
Step-by-step explanation:
To find E(J), we can use the Markov property and conditional expectation. Let's denote E(J) as the expected number of jumps to reach block 3 starting from block 1. We can break down E(J) into two cases: if Mark jumps successfully from block 1 to block 2, or if Mark falls into the lava.
Case 1: If Mark jumps successfully from block 1 to block 2, he will need an additional E(J) jumps to reach block 3. The probability of successfully reaching block 2 is 1/2. Therefore, the expected number of jumps in this case is (1/2) * E(J).
Case 2: If Mark falls into the lava, he will need to start again from block 1 and make an additional E(J) jumps. The probability of falling into the lava is also 1/2. Therefore, the expected number of jumps in this case is (1/2) * E(J).
Considering both cases, we can write the equation: E(J) = (1/2) * E(J) + (1/2) * E(J) + 1. Solving this equation, we find that E(J) = 2.
(b) This problem relates to a coin tossing problem because each jump Mark makes has a 1/2 probability of success and a 1/2 probability of failure, similar to flipping a fair coin.