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EconCSLib.GameTheory.StrategicGame.ZeroSum.OptimalStrategySetPolytope

EconCSLib.GameTheory.StrategicGame.ZeroSum.OptimalStrategySetPolytope #

For a finite matrix game A, the sets of optimal mixed row and column strategies are nonempty polytopes in the ambient mixed-strategy space. We supply the four structural properties that together characterise an H-polytope (Mathlib does not yet ship a packaged IsPolytope):

The deliverable is stated on the image of MatrixGame.optimalRowStrategies in I (under the subtype value map), which is the natural ambient vector space for polytope vocabulary.

Main results #

References #

H-representation of the row-optimal set #

def MatrixGame.optimalRowSet {I J : Type u} [Fintype I] [Fintype J] [Nonempty J] (A : MatrixGame I J ) :
Set (I)

H-representation of the row-optimal strategy set in the ambient space I: the standard simplex intersected with the finitely many half-spaces A.value ≤ ∑ i, f i * A.g i j, one per pure column j.

Equations
Instances For
    def MatrixGame.optimalColumnSet {I J : Type u} [Fintype I] [Fintype J] [Nonempty J] (A : MatrixGame I J ) :
    Set (J)

    H-representation of the column-optimal strategy set in the ambient space J.

    Equations
    Instances For

      The image of the row-optimal subtype set equals the H-representation polytope A.optimalRowSet.

      Convex / closed / compact / nonempty #

      Column-side: dual statement #