Robust dimension free isoperimetry in Gaussian space
By Elchanan Mossel, Joe Neeman. 2012
54 citations recorded by the source corpus.
We prove the first robust dimension free isoperimetric result for the standard Gaussian measure $\gamma_n$ and the corresponding boundary measure $\gamma_n^+$ in $\mathbb {R}^n$. The main result in the theory of Gaussian isoperimetry (proven in the 1970s by Sudakov and Tsirelson, and independently by Borell) states that if $\gamma_n(A)=1/2$ then the surface area of $A$ is bounded by the surface area of a half-space with the same measure, $\gamma_n^+(A)\leq(2\pi)^{-1/2}$. Our results imply in particular that if $A\subset \mathbb {R}^n$ satisfies $\gamma_n(A)=1/2$ and $\gamma_n^+(A)\leq(2\pi)^{-1/2}+\delta$ then there exists a half-space $B\subset \mathbb {R}^n$ such that $\gamma_n(A\Delta B)\leq C\smash{\log^{-1/2}}(1/\delta)$ for an absolute constant $C$. Since the Gaussian isoperimetric result was established, only recently a robust version of the Gaussian isoperimetric result was obtained by Cianchi et al., who showed that $\gamma_n(A\Delta B)\le C(n)\sqrt{\delta}$ for some function $C(n)$ with no effective bounds. Compared to the results of Cianchi et al., our results have optimal (i.e., no) dependence on the dimension, but worse dependence on $ \delta$.
Subfields: Applied Mathematics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/0a73d64777cbb6bee3bbc490d215d76bedc05a85
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In Applied Mathematics
- Jean Dolbeault
- Elchanan Mossel
- Joe Neeman
- N. Fusco
- Giuseppe Toscani
- Cédric Villani
- José Antonio Carrillo
- Alessio Figalli
In Statistics and Probability
Citations in the corpus
- Stability Results for Logarithmic Sobolev and Gagliardo–Nirenberg Inequalities (2014, background): “See Pinsker [1964], Csiszár [1967], Kullback [1968] for a proof of this inequality.”
- The quantitative isoperimetric inequality and related topics (2015, background): “Indeed in [101] a stability estimate with a non sharp logarithmic dependence on the isoperimetric deficit Dγ(E) was proven, but with a dimension free constant.”
- Robust Optimality of Gaussian Noise Stability (2012, background): “4 follows the same general lines as the one in [35].”