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Quantitative stability for the Brunn–Minkowski inequality

Quantitative stability for the Brunn-Minkowski inequality
Authors: Figalli, Alessio; Jerison, David S.;

Quantitative stability for the Brunn–Minkowski inequality

Abstract

We prove a quantitative stability result for the Brunn-Minkowski inequality: if $|A|=|B|=1$, $t \in [τ,1-τ]$ with $τ>0$, and $|tA+(1-t)B|^{1/n}\leq 1+δ$ for some small $δ$, then, up to a translation, both $A$ and $B$ are quantitatively close (in terms of $δ$) to a convex set $K$.

Country
United States
Keywords

Mathematics - Functional Analysis, Mathematics - Metric Geometry, quantitative stability, Inequalities and extremum problems involving convexity in convex geometry, FOS: Mathematics, Metric Geometry (math.MG), Brunn-Minkowski inequality, Functional Analysis (math.FA)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
32
Top 10%
Top 10%
Top 10%
Green
bronze