Search results for " 60E15"

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Robustness of the Gaussian concentration inequality and the Brunn–Minkowski inequality

2016

We provide a sharp quantitative version of the Gaussian concentration inequality: for every $r>0$, the difference between the measure of the $r$-enlargement of a given set and the $r$-enlargement of a half-space controls the square of the measure of the symmetric difference between the set and a suitable half-space. We also prove a similar estimate in the Euclidean setting for the enlargement with a general convex set. This is equivalent to the stability of the Brunn-Minkowski inequality for the Minkowski sum between a convex set and a generic one.

Pure mathematicsGaussianConvex setkvantitatiivinen tutkimus01 natural sciencesMeasure (mathematics)Square (algebra)010104 statistics & probabilitysymbols.namesakeMathematics - Analysis of PDEsQuantitative Isoperimetric InequalitiesFOS: MathematicsMathematics::Metric Geometry0101 mathematicsConcentration inequalitySymmetric differenceMathematicsmatematiikkaApplied MathematicsProbability (math.PR)010102 general mathematicsMinkowski inequalityMinkowski additionBrunn–Minkowski inequalityGaussian concentration inequalitysymbols49Q20 52A40 60E15Mathematics - ProbabilityAnalysisAnalysis of PDEs (math.AP)Calculus of Variations and Partial Differential Equations
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Cut-off method for endogeny of recursive tree processes

2016

Given a solution to a recursive distributional equation, a natural (and non-trivial) question is whether the corresponding recursive tree process is endogenous. That is, whether the random environment almost surely defines the tree process. We propose a new method of proving endogeny, which applies to various processes. As explicit examples, we establish endogeny of the random metrics on non-pivotal hierarchical graphs defined by multiplicative cascades and of mean-field optimization problems as the mean-field matching and travelling salesman problems in pseudo-dimension q>1.

[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]endogenyrandom metrics[MATH.MATH-PR] Mathematics [math]/Probability [math.PR]Primary 60E05 60B10 60E15. Secondary 81T20 82B44 90C27Probability (math.PR)FOS: Mathematics60E05 60B10 60E15 81T20 82B44 90C27recursive distributional equationsmean-field combinatorial optimization[ MATH.MATH-PR ] Mathematics [math]/Probability [math.PR]Mathematics - Probability
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