Can Almost Everybody be Almost Happy? PCP for PPAD and the Inapproximability of Nash
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Abstract (arXiv)
We conjecture that PPAD has a PCP-like complete problem, seeking a near equilibrium in which all but very few players have very little incentive to deviate. We show that, if one assumes that this problem requires exponential time, several open problems in this area are settled. The most important implication, proved via a "birthday repetition" reduction, is that the n^O(log n) approximation scheme of [LMM03] for the Nash equilibrium of two-player games is essentially optimum. Two other open problems in the area are resolved once one assumes this conjecture, establishing that certain approximate equilibria are PPAD-complete: Finding a relative approximation of two-player Nash equilibria (without the well-supported restriction of [Das13]), and an approximate competitive equilibrium with equal incomes [Bud11] with small clearing error and near-optimal Gini coefficient.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 9 Apr 2015.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 1; 2025: 0; 2026: 1.
4 papers.
- 2022The Complexity of Markov Equilibrium in Stochastic Gamescited by 49
- 2023Multi-Player Zero-Sum Markov Games with Networked Separable Interactionscited by 10
- 2024The complexity of approximate (coarse) correlated equilibrium for incomplete information gamescited by 4
- 2026The Complexity of Min-Max Optimization for Quadratic Polynomialscited by 1
- 2026The Complexity of Min-Max Optimization for Quadratic Polynomials15 Jun 2026
- 2024The complexity of approximate (coarse) correlated equilibrium for incomplete information games4 Jun 2024
- 2023Multi-Player Zero-Sum Markov Games with Networked Separable Interactions13 Jul 2023
- 2022The Complexity of Markov Equilibrium in Stochastic Games8 Apr 2022