🆚Game Theory and Economic Behavior Unit 4 – Nash Equilibrium: Pure & Mixed Strategies

Nash equilibrium is a cornerstone of game theory, describing stable states where no player can benefit by changing their strategy unilaterally. It applies to both pure strategies, where players choose actions with certainty, and mixed strategies, involving randomization over available actions. This concept has wide-ranging applications in economics, from analyzing firm behavior in oligopolies to modeling bargaining outcomes. Understanding Nash equilibrium helps predict strategic interactions, though it's important to note that equilibrium doesn't always lead to socially optimal outcomes.

Key Concepts

  • Nash equilibrium represents a stable state in a game where no player has an incentive to unilaterally change their strategy
  • Pure strategies involve players choosing a single action with certainty
  • Mixed strategies allow players to randomize over their available actions according to a probability distribution
  • Best response refers to a player's optimal strategy given the strategies of the other players
  • Payoff matrix summarizes the outcomes for each combination of strategies chosen by the players
  • Dominant strategy provides a player with the highest payoff regardless of the other players' actions
  • Zero-sum games have the property that one player's gain is always equal to the other player's loss

Nash Equilibrium Basics

  • Nash equilibrium is a fundamental concept in game theory that describes a stable state in a game
  • In a Nash equilibrium, each player's strategy is a best response to the strategies of the other players
  • No player can improve their payoff by unilaterally deviating from their equilibrium strategy
  • Nash equilibrium can be reached through pure strategies or mixed strategies
  • The existence of a Nash equilibrium does not guarantee that it is unique or Pareto optimal
  • Nash equilibrium assumes that players are rational, have complete information, and act simultaneously
  • The concept of Nash equilibrium has wide-ranging applications in economics, political science, and other social sciences

Pure Strategy Nash Equilibrium

  • Pure strategy Nash equilibrium occurs when each player chooses a single action with certainty
  • In a pure strategy equilibrium, no player has an incentive to unilaterally deviate from their chosen strategy
  • Pure strategy equilibria can be identified by finding the best response for each player given the other players' strategies
  • Dominant strategy equilibrium is a special case of pure strategy equilibrium where each player has a dominant strategy
  • Coordination games (Stag Hunt, Battle of the Sexes) often have multiple pure strategy equilibria
  • Prisoner's Dilemma is a classic example of a game with a unique pure strategy equilibrium that is not Pareto optimal
    • In Prisoner's Dilemma, both players confessing is the unique Nash equilibrium, despite mutual cooperation being Pareto superior

Mixed Strategy Nash Equilibrium

  • Mixed strategy Nash equilibrium involves players randomizing over their available actions according to a probability distribution
  • Players choose a probability distribution over their actions rather than a single action with certainty
  • In a mixed strategy equilibrium, each player's mixed strategy is a best response to the other players' mixed strategies
  • Players are indifferent between the actions they play with positive probability in a mixed strategy equilibrium
  • The expected payoff for each action played with positive probability must be equal in a mixed strategy equilibrium
  • Mixed strategy equilibria can exist even when no pure strategy equilibria exist (Matching Pennies)
  • Computing mixed strategy equilibria involves solving a system of equations based on the players' indifference conditions

Finding Nash Equilibria

  • Finding Nash equilibria involves identifying the best response strategies for each player
  • In games with finite strategy spaces, Nash equilibria can be found by examining the payoff matrix
  • Identify the best response for each player given the other players' strategies
  • Look for strategy profiles where each player's strategy is a best response to the others' strategies
  • In games with continuous strategy spaces, finding Nash equilibria may require solving a system of equations or inequalities
  • Iterated elimination of strictly dominated strategies can simplify the process of finding Nash equilibria
    • Strictly dominated strategies are never played in a Nash equilibrium and can be safely removed from consideration
  • Brouwer's Fixed Point Theorem guarantees the existence of a Nash equilibrium in finite games with mixed strategies

Applications in Economics

  • Nash equilibrium is widely used in economics to model strategic interactions between firms, consumers, and other economic agents
  • Oligopoly models (Cournot, Bertrand) use Nash equilibrium to analyze firm behavior and market outcomes
  • In Cournot competition, firms simultaneously choose their output levels, and the Nash equilibrium determines the market price and quantities
  • In Bertrand competition, firms simultaneously choose their prices, and the Nash equilibrium determines the market shares and profits
  • Nash bargaining solution is used to model bargaining outcomes between two parties
  • Public goods provision and externalities can be analyzed using Nash equilibrium concepts
  • Auction theory relies on Nash equilibrium to characterize bidding strategies and revenue outcomes

Common Mistakes and Pitfalls

  • Confusing Nash equilibrium with Pareto optimality or social welfare maximization
    • Nash equilibrium is a stability concept and does not necessarily lead to socially optimal outcomes
  • Failing to consider all possible deviations when checking for Nash equilibria
    • A strategy profile is a Nash equilibrium only if no player can unilaterally improve their payoff by deviating
  • Incorrectly computing expected payoffs in mixed strategy equilibria
    • The expected payoff for each action played with positive probability must be equal in a mixed strategy equilibrium
  • Ignoring the possibility of multiple Nash equilibria in a game
    • Some games may have multiple pure strategy, mixed strategy, or a combination of both types of equilibria
  • Assuming that players can coordinate on a particular equilibrium without explicit communication
    • Nash equilibrium does not address the issue of equilibrium selection when multiple equilibria exist
  • Misinterpreting mixed strategies as players actively randomizing their actions
    • Mixed strategies represent a player's beliefs about the other players' actions and can arise from population distributions or learning processes

Practice Problems

  • Find all pure strategy Nash equilibria in a 2x2 game with the following payoff matrix:
    • ((2,1)(0,0)(0,0)(1,2))\begin{pmatrix} (2, 1) & (0, 0) \\ (0, 0) & (1, 2) \end{pmatrix}
  • Determine whether the following strategy profile is a Nash equilibrium: Player 1 plays A with probability 1/3 and B with probability 2/3, while Player 2 plays C with probability 1/4 and D with probability 3/4.
  • Consider a Cournot duopoly where two firms simultaneously choose their output levels. The market demand is given by P=100QP = 100 - Q, where PP is the price and QQ is the total output. Each firm has a constant marginal cost of $20. Find the Nash equilibrium output levels and profits for each firm.
  • In a first-price sealed-bid auction with two risk-neutral bidders and private values uniformly distributed between 0 and 100, find the symmetric Nash equilibrium bidding strategy.
  • Analyze the following extensive-form game and find all pure strategy and mixed strategy Nash equilibria:
         Player 1
        /     \
       A       B
      /\      /\
    

Player 2 Player 2 /\ /
C D E F (2,1) (0,0) (1,2) (3,1)



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AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.