Isoperimetric and analytic inequalities for log-concave probability measures

成果类型:
Article
署名作者:
Bobkov, SG
署名单位:
Syktyvkar State University; University System of Georgia; Georgia Institute of Technology
刊物名称:
ANNALS OF PROBABILITY
ISSN/ISSBN:
0091-1798
DOI:
10.1214/aop/1022677553
发表日期:
1999
页码:
1903-1921
关键词:
logarithmic sobolev inequalities convex-bodies exponential integrability brunn-minkowski SPACES bounds
摘要:
We discuss an approach, based on the Brunn-Minkowski inequality, to isoperimetric and analytic inequalities for probability measures on Euclidean space with logarithmically concave densities. In particular, we show that such measures have positive isoperimetric constants in the sense of Cheeger and thus always share Poincare-type inequalities. We then describe those log-concave measures which satisfy isoperimetric inequalities of Gaussian type. The results are precised in dimension 1.