QuantumInfo.ForMathlib.Minimax
8 declarations
A Lower Semicontinuous Function on a Non-empty Compact Set Attains its Minimum
#exists_isMinOn_lowerSemicontinuousOnLet be a topological space and be a topological space equipped with a linear order such that all lower rays are closed (a closed-interval-of-comparison topology). Let be a non-empty compact set. If a function is lower semicontinuous on , then there exists some such that is the minimum value of on .
Linear maps are quasilinear on convex sets
#quasilinearOnLet be a semiring equipped with a partial order, and let and be modules over where is also an ordered additive monoid satisfying the property that scalar multiplication by positive elements is monotonic (). If is a -linear map and is a convex set, then is quasilinear on .
Linear maps are quasiconvex on convex sets
#quasiconvexOnLet be a semiring with a partial order, and let and be modules over that are also additive commutative monoids. Suppose is an ordered additive monoid where scalar multiplication by positive elements is monotonic. Let be a convex set. For any -linear map , the restriction of to is quasiconvex.
Linear maps are quasiconcave on convex sets
#quasiconcaveOnLet be a ordered semiring, and let and be modules over such that is an ordered additive monoid with covariant scalar multiplication. If is a linear map and is a convex set, then is quasiconcave on .
The evaluation map for continuous linear maps is continuous.
#continuous_stupidLet and be real normed additive commutative groups that are also modules over , with being finite-dimensional. Let be a continuous linear map (representing a family of continuous linear functionals). Then the evaluation map from to is continuous.
Minimax theorem for continuous bilinear forms on compact convex sets
#minimaxLet be a finite-dimensional real normed topological vector space and be a real normed topological vector space. Let be a continuous bilinear form (represented as a continuous linear map from to the dual space of ). Given two sets and such that: 1. and are compact, 2. and are convex, 3. and are nonempty, then the following equality holds:
Von Neumann's Minimax Theorem for Bilinear Forms ()
#minimaxLet be a finite-dimensional real normed topological vector space. Let be a bilinear form on . Let and be subsets of such that: 1. and are compact, 2. and are convex, 3. and are nonempty, then the following equality holds:
Sion's minimax theorem for bilinear forms on compact convex sets ()
#minimax'Let be a finite-dimensional real normed additive commutative group (a finite-dimensional real Banach space) with continuous addition and scalar multiplication. Let be a bilinear form on . Let and be subsets of such that both and are compact, convex, and nonempty. Then the supremum of the infimum equals the infimum of the supremum:
