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arXiv 1401.0628math.DGmath.PR
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直线上对数凸概率测度的定量等周不等式

Quantitative isoperimetric inequalities for log-convex probability measures on the line

F. Feo, M. R. Posteraro, C. Roberto

摘要:

研究了直线上对称对数凸概率测度的等周不等式。使用几何参数,我们首先重新证明,极值集的等周不等式的间隔或补充的间隔(一个结果,由于Bobkov和Houdré)。然后给出了该等周不等式的一个定量形式,并由此导出了一个奇异的性质。实际上,在等周不等式几乎是一个等式的意义上,一个集合可能非常接近于最优,但同时又非常远离(在集合之间的对称差的意义上)任何极值集合!从集合上的结果,我们得到了弱Cheeger型的数量函数不等式.

英文摘要:

The purpose of this paper is to analyze the isoperimetric inequality for symmetric log-convex probability measures on the line. Using geometric arguments we first re-prove that extremal sets in the isoperimetric inequality are intervals or complement of intervals (a result due to Bobkov and Houdré). Then we give a quantitative form of the isoperimetric inequality, leading to a somehow anomalous behavior. Indeed, it could be that a set is very close to be optimal, in the sense that the isoperimetric inequality is almost an equality, but at the same time is very far (in the sense of the symmetric difference between sets) to any extremal sets! From the results on sets we derive quantitative functional inequalities of weak Cheeger type.

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