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Duality and perfect probability spaces
Authors:D. Ramachandran   L. Rü  schendorf
Affiliation:Department Of Mathematics and Statistics, California State University, 6000 J Street, Sacramento, California 95819-6051 ; California State University, Sacramento and Universität Freiburg
Abstract:Given probability spaces $(X_i,mathcal {A}_i,P_i), i=1,2,$ let $mathcal {M}(P_1,P_2)$ denote the set of all probabilities on the product space with marginals $P_1$ and $P_2$ and let $h$ be a measurable function on $(X_1 times X_2,mathcal {A}_1 otimes mathcal {A}_2).$ Continuous versions of linear programming stemming from the works of Monge (1781) and Kantorovich-Rubinv{s}tein (1958) for the case of compact metric spaces are concerned with the validity of the duality

begin{align*}&sup { int h dP: P in mathcal {M}(P_1,P_2) } % &qquad = : inf { sum _{i=1}^{2} int h_i dP_i : h_i in mathcal {L}^1 (P_i) ; ; and ; ; h leq {oplus }_i h_i} end{align*}

(where $mathcal {M}(P_1,P_2)$ is the collection of all probability measures on $(X_1 times X_2,mathcal {A}_1 otimes mathcal {A}_2)$ with $P_1$ and $P_2$ as the marginals). A recently established general duality theorem asserts the validity of the above duality whenever at least one of the marginals is a perfect probability space. We pursue the converse direction to examine the interplay between the notions of duality and perfectness and obtain a new characterization of perfect probability spaces.

Keywords:Duality theorem   marginals   perfect measure   Marczewski function
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