Alternating Coin Toss Game: Who Wins on HT?
The Game
- Two players, A and B, take turns flipping a fair coin.
- Player A flips first, then B, and so on.
- The game ends as soon as the pattern HT (a Head immediately followed by a Tail) appears.
- The player who flipped the Tail in the HT wins.
Question
What is the probability that Player A wins the game?
Strategy and State Analysis
Let’s define the game states based on whose turn it is and the previous flip:
- \( S_A \): It is A’s turn, and there is no previous H (e.g., start of game, or after a T).
- \( S_B \): It is B’s turn, and there is no previous H.
- \( H_A \): Last flip was H by Player A (it is B’s turn).
- \( H_B \): Last flip was H by Player B (it is A’s turn).
From \( S_A \):
- A flips:
- H with probability \( \frac{1}{2} \) → state \( H_A \)
- T with probability \( \frac{1}{2} \) → state \( S_B \) (it is now B’s turn)
From \( S_B \):
- B flips:
- H with probability \( \frac{1}{2} \) → state \( H_B \)
- T with probability \( \frac{1}{2} \) → state \( S_A \) (it is now A’s turn)
From \( H_A \):
- B flips:
- T → B wins (completes HT, A wins with prob 0)
- H → state \( H_B \)
From \( H_B \):
- A flips:
- T → A wins (completes HT, A wins with prob 1)
- H → state \( H_A \)
Recursive Probabilities
Let \( P(\text{State}) \) be the probability that Player A wins starting from that state. We want to find \( P_{S_A} \).
First, solve the subsystem for the states where an H was just flipped:
\[ P_{H_A} = \frac{1}{2} \cdot 0 + \frac{1}{2} \cdot P_{H_B} = \frac{1}{2} P_{H_B} \]
\[ P_{H_B} = \frac{1}{2} \cdot 1 + \frac{1}{2} \cdot P_{H_A} = \frac{1}{2} + \frac{1}{2} \left( \frac{1}{2} P_{H_B} \right) = \frac{1}{2} + \frac{1}{4} P_{H_B} \]
Solving gives \( P_{H_B} = \frac{2}{3} \) and therefore \( P_{H_A} = \frac{1}{3} \).
Next, use the initial states to find \( P_{S_A} \):
\[ P_{S_B} = \frac{1}{2} P_{H_B} + \frac{1}{2} P_{S_A} = \frac{1}{3} + \frac{1}{2} P_{S_A} \]
\[ P_{S_A} = \frac{1}{2} P_{H_A} + \frac{1}{2} P_{S_B} = \frac{1}{6} + \frac{1}{2} P_{S_B} \]
Substitute \( P_{S_B} \) into \( P_{S_A} \):
\[ P_{S_A} = \frac{1}{6} + \frac{1}{2} \left( \frac{1}{3} + \frac{1}{2} P_{S_A} \right) = \frac{1}{3} + \frac{1}{4} P_{S_A} \]
\[ \frac{3}{4} P_{S_A} = \frac{1}{3} \implies P_{S_A} = \frac{4}{9} \]
Final Answer
The probability that Player A wins is:
\[ \boxed{\frac{4}{9}} \]