How do you calculate the probability p for Player 1's mixed strategy in a Nash equilibrium?
To calculate the probability for Player 1's mixed strategy, you must determine the value of that makes Player 2 completely indifferent between choosing their pure strategies, Right (R) and Left (L). This is done by computing Player 2's expected payoff for each of their pure strategies as a function of , setting those two expected payoffs equal to each other, and solving the resulting linear equation for .
Conditions
- The game is a finite normal-form game with a 2x2 payoff matrix.
- Player 1 chooses R with probability and L with probability .
- Player 2's expected payoffs from playing R and L must be calculated using Player 1's mixed strategy.
- The solution for must lie in the interval to represent a valid mixed strategy.
Reasoning, step by step
- Identify Player 2's payoffs for each outcome in the payoff matrix.
- Calculate Player 2's expected payoff if they choose strategy R, denoted as , by weighting Player 2's payoffs in the R column by Player 1's probabilities and .
- Calculate Player 2's expected payoff if they choose strategy L, denoted as , by weighting Player 2's payoffs in the L column by Player 1's probabilities and .
- Set the two expected payoffs equal to each other: .
- Solve the resulting algebraic equation for .
Example
In the displayed game, Player 2's expected payoff from choosing R is . Player 2's expected payoff from choosing L is . Setting them equal gives . Adding to both sides yields , and dividing by 3 gives .
Common misconceptions
- Students might intuitively think a player should choose probabilities to maximize their own expected payoff directly, rather than to make the opponent indifferent.
- A common error is to use Player 1's own payoffs when solving for Player 1's mixing probability . The mixing probability is chosen to make Player 2 indifferent, so Player 2's payoffs must be used.
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