Game theory

Nash Equilibrium

A profile of strategies where no player can profit by unilateral deviation.

Ask the Game theory assistant1 min read · Updated September 9, 2026

Definition

A strategy profile s∗=(s1∗,…,sn∗)s^*=(s_1^*,\ldots,s_n^*) is a Nash equilibrium if ui(si∗,s−i∗)≥ui(si,s−i∗)u_i(s_i^*,s_{-i}^*)\ge u_i(s_i,s_{-i}^*) for every player ii and every si∈Sis_i\in S_i.

Equivalently, si∗∈arg⁡max⁡si∈Siui(si,s−i∗)s_i^*\in\arg\max_{s_i\in S_i} u_i(s_i,s_{-i}^*) for each ii — every player best-responds to everyone else.

Intuition

No player regrets their choice given what the others did — it's a self-enforcing agreement.

It is a fixed point of the joint best-response map: nobody has a profitable unilateral deviation.

Worked example

In the Prisoner's Dilemma the unique pure Nash equilibrium is mutual defection (D,D)(D,D), even though (C,C)(C,C) Pareto-dominates it.

Matching Pennies has no pure equilibrium but a unique mixed one in which each player randomizes (1/2,1/2)(1/2,1/2).

The math

Nash (1950) proved existence in every finite game by applying Kakutani's fixed-point theorem to the best-response correspondence on the compact convex set Δ(S)=∏iΔ(Si)\Delta(S)=\prod_i\Delta(S_i).

Equivalently, equilibria are the zeros of the Nash map where each player minimizes their regret max⁡si′ui(si′,s−i)−ui(s)\max_{s_i'}u_i(s_i',s_{-i})-u_i(s).

Where it is used

Central to oligopoly theory, routing games, auction design, and evolutionary biology.

Provides the baseline benchmark for the Price of Anarchy and mechanism design guarantees.

Go deeper

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