English

On the extreme points of moments sets

Optimization and Control 2017-01-17 v1 Probability Statistics Theory Statistics Theory

Abstract

Necessary and sufficient conditions for a measure to be an extreme point of the set of measures (on an abstract measurable space) with prescribed generalized moments are given, as well as an application to extremal problems over such moment sets; these conditions are expressed in terms of atomic partitions of the measurable space. It is also shown that every such extreme measure can be adequately represented by a linear combination of k Dirac probability measures with nonnegative coefficients, where k is the number of restrictions on moments; moreover, when the measurable space has appropriate topological properties, the phrase "can be adequately represented by" here can be replaced simply by "is". The proofs are elementary and mainly self-contained.

Keywords

Cite

@article{arxiv.1204.0249,
  title  = {On the extreme points of moments sets},
  author = {Iosif Pinelis},
  journal= {arXiv preprint arXiv:1204.0249},
  year   = {2017}
}

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10 pages