English

Entropy and a generalisation of `Poincare's Observation'

Probability 2007-06-13 v1 Statistics Theory Statistics Theory

Abstract

Consider a sphere of radius root(n) in n dimensions, and consider X, a random variable uniformly distributed on its surface. Poincare's Observation states that for large n, the distribution of the first k coordinates of X is close in total variation distance to the standard normal N(0,I_k). In this paper, we consider a larger family of manifolds, and X taking a more general distribution on the surfaces. We establish a bound in the stronger Kullback--Leibler sense of relative entropy, and discuss its sharpness, providing a necessary condition for convergence in this sense. We show how our results imply the equivalence of ensembles for a wider class of test functions than is standard. We also deduce results of de Finetti type, concerning a generalisation of the idea of orthogonal invariance.

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Cite

@article{arxiv.math/0201273,
  title  = {Entropy and a generalisation of `Poincare's Observation'},
  author = {Oliver Johnson},
  journal= {arXiv preprint arXiv:math/0201273},
  year   = {2007}
}

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12 pages