In AP Micro game theory, a unilateral deviation is a change in strategy by one player while every other player's strategy stays fixed. If no player can improve their payoff through a unilateral deviation, the strategy combination is a Nash equilibrium (Topic 4.5).
A unilateral deviation is one player switching strategies on their own while everyone else holds still. "Unilateral" just means one-sided. In a payoff matrix, that looks like moving across a single row or down a single column to see if the deviating player's number gets bigger.
This is the whole machinery behind Nash equilibrium. To check whether a cell in a payoff matrix is a Nash equilibrium, you run the unilateral deviation test on each player one at a time. Ask, "Holding the other firm's choice fixed, can this firm do better by switching?" If the answer is no for every player, nobody has a profitable unilateral deviation, and you've found the equilibrium. Under LO 4.5.A and 4.5.B, you're expected to read normal-form tables and explain equilibria, and the deviation test is how you actually do that without guessing.
Unilateral deviation lives in Unit 4 (Imperfect Competition), Topic 4.5 (Oligopoly and Game Theory). It directly supports AP Micro 4.5.A (defining game theory concepts using tables), AP Micro 4.5.B (explaining strategies and equilibria), and AP Micro 4.5.C (calculating the incentive needed to change a player's strategy). The bigger economic point comes from EK PRD-3.C.2: oligopoly firms want to collude and form cartels, but each cartel member has a profitable unilateral deviation, meaning each firm can earn more by secretly cheating while the other keeps cooperating. That's exactly why cartels collapse, and it's why the collusive outcome usually isn't a Nash equilibrium in the matrices you'll see on the exam.
Keep studying AP® Microeconomics Unit 4
Best response (Unit 4)
A best response is the strategy that gives a player the highest payoff given what the other player does. Saying "no player has a profitable unilateral deviation" is the same as saying "every player is already playing a best response." They're two phrasings of one idea.
Prisoner's Dilemma (Unit 4)
The Prisoner's Dilemma is the classic case where the deviation test bites. From the cooperate-cooperate cell, each player has a profitable unilateral deviation to defecting, so cooperation falls apart even though both players would be better off if it held.
Collusion and cartels (Unit 4)
EK PRD-3.C.2 says oligopolists have an incentive to collude. The deviation test explains why that incentive isn't enough. A cartel agreement is just a strategy combination, and if cheating raises a firm's payoff while its rival sticks to the deal, the cartel is unstable.
Dominant strategy (Unit 4)
A dominant strategy is a best choice no matter what the opponent does, so a player with one never benefits from deviating away from it. LO 4.5.C asks you to calculate the payoff change (like a side payment) big enough to make deviating from a dominant strategy worthwhile.
Multiple-choice questions test this idea almost word for word. Stems ask which condition is required for a Nash equilibrium, and the correct answer is some version of "no player can gain by unilaterally changing strategy while the others' strategies stay fixed." You'll also get payoff matrices, like a two-driver Stop/Go game, where you have to find the equilibrium cells by checking each player's deviation one at a time. On FRQs, game theory questions typically give you a payoff matrix and ask whether a firm has a dominant strategy, what the Nash equilibrium is, and whether a cartel agreement is stable. No released FRQ uses the phrase "unilateral deviation" verbatim, but the deviation check is the reasoning behind every one of those parts. Tip for written answers: name the payoffs explicitly, as in "if Firm A switches while Firm B keeps pricing low, A's payoff falls from 50 to 30, so A won't deviate."
A dominant strategy is about one player's best move against everything the opponent might do. Unilateral deviation is a test you run on a specific cell, holding the opponent's actual choice fixed. A player can lack a dominant strategy and still have no profitable deviation at a particular cell, which is why some games have a Nash equilibrium even when nobody has a dominant strategy.
A unilateral deviation means one player changes strategy while every other player's strategy stays exactly the same.
A strategy combination is a Nash equilibrium if and only if no player has a profitable unilateral deviation from it.
To run the test on a payoff matrix, hold one player's choice fixed and check whether the other player's payoff rises by switching, then repeat for the other player.
Cartels are unstable because each member has a profitable unilateral deviation, meaning cheating pays off as long as the rival keeps cooperating.
In the Prisoner's Dilemma, the cooperative outcome fails the deviation test, which is why both players end up at the worse, defect-defect equilibrium.
On FRQs, cite specific payoff numbers when arguing a player will or won't deviate, since that's what earns the point.
It's one player changing their strategy while the other player's strategy stays fixed. You use it as a test for Nash equilibrium in the game theory questions from Topic 4.5.
No. Nash equilibrium only means no player can do better by deviating alone. In the Prisoner's Dilemma, the equilibrium is worse for both players than mutual cooperation, but cooperation fails because each player has a profitable unilateral deviation away from it.
A dominant strategy beats all alternatives no matter what the opponent does. The unilateral deviation test only checks one specific cell, holding the opponent's actual choice fixed. Games can have a Nash equilibrium with no dominant strategies at all.
Because each cartel member has a profitable unilateral deviation. If one firm secretly raises output or cuts price while its rival honors the agreement, the cheater's payoff goes up, so the collusive outcome isn't a Nash equilibrium.
Pick a cell, hold Player B's choice fixed, and see if Player A's payoff improves by switching rows. Then hold A fixed and check B's columns. If neither player gains from switching, that cell is a Nash equilibrium.
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