摘要

Encouraged by the study of extremal limits for sums of the form lim(N ->) (infinity) 1/N Sigma(N)(n=1) c(x(n), y(n)) with uniformly distributed sequences {x(n)}, {y(n)} the following extremal problem is of interest max(gamma) integral([0,1]2) c(x, y) gamma (dx, dy), for probability measures gamma on the unit square with uniform marginals, i.e., measures whose distribution function is a copula. The aim of this article is to relate this problem to combinatorial optimization and to the theory of optimal transport. Using different characterizations of maximizing gamma's one can give alternative proofs of some results from the field of uniform distribution theory and beyond that treat additional questions. Finally, some applications to mathematical finance are addressed.

  • 出版日期2015-12