Combinatorics of Correlated Equilibria
Marie-Charlotte Brandenburg, Benjamin Hollering, Irem Portakal
TL;DR
The paper addresses the combinatorial structure of correlated equilibrium polytopes arising from finite games by formulating them via the correlated equilibrium cone $C_G$ and a parametric matrix $A(Y)$. It shows that the region where the polytope has maximal dimension is semialgebraic and can be stratified using oriented matroids, with a concrete description of the algebraic boundary for $(2×n)$-games in terms of coordinate hyperplanes and binomial minors. For generic $(2×3)$-games there are exactly three combinatorial types of $P_G$, including a unique full-dimensional type with a specific $f$-vector, and a conjecture that non-full-dimensional cases stem from smaller games. The results blend convex geometry with real algebraic geometry to yield a structured, computable framework for understanding correlated equilibria in low-dimensional games, aided by explicit computations and openly available MathRepo code.
Abstract
We study the correlated equilibrium polytope $P_G$ of a game $G$ from a combinatorial point of view. We introduce the region of full-dimensionality for this class of polytopes and prove that it is a semialgebraic set for any game. Using a stratification via oriented matroids, we propose a structured method for describing the possible combinatorial types of $P_G$, and show that for $(2 \times n)$-games, the algebraic boundary of the stratification is a union of coordinate hyperplanes and binomial hypersurfaces. Finally, we provide a computational proof that there exists a unique combinatorial type of maximal dimension for generic $(2 \times 3)$-games.
