The Annals of Probability · 1977 · 82 citations · 0 references
EngineeringConvex OptimizationStandard Normal DensityConvex HullConvex SubsetsGaussian Correlation InequalityFunctional AnalysisVariational InequalityA\cap B
If $n(x)$ is the standard normal density on $R^2$ and if $A = -A$ and $B = -B$ are convex subsets of $R^2$ then $$\int_{A\cap B}\mathbf{n}(x) d^2x \geqq (\int_A \mathbf{n}(x) d^2x)(\int_B \mathbf{n}(x) d^2x).$$