The complete mixability and convex minimization problems with monotone marginal densities

  • Authors:
  • Bin Wang;Ruodu Wang

  • Affiliations:
  • Department of Mathematics, Peking University, Beijing 100871, China;School of Mathematics, Georgia Institute of Technology, Atlanta, GA 30332 0160, USA

  • Venue:
  • Journal of Multivariate Analysis
  • Year:
  • 2011

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Abstract

Following the results of Ruschendorf and Uckelmann (2002) [20], we introduce the completely mixable distributions on R and prove that the distributions with monotone density and moderate mean are completely mixable. Using this method, we solve the minimization problem min"X"""i"~"PEf(X"1+...+X"n) for convex functions f and marginal distributions P with monotone density. Our results also provide valuable implications in variance minimization, bounds for the sum of random variables and risk theory.