0000000000395774

AUTHOR

Juan J. Manfredi

showing 6 related works from this author

Asymptotic mean value formulas for parabolic nonlinear equations

2021

In this paper we characterize viscosity solutions to nonlinear parabolic equations (including parabolic Monge–Ampère equations) by asymptotic mean value formulas. Our asymptotic mean value formulas can be interpreted from a probabilistic point of view in terms of dynamic programming principles for certain two-player, zero-sum games. peerReviewed

osittaisdifferentiaaliyhtälötasymptotic mean value formulasparabolic nonlinear equationsMathematics - Analysis of PDEsviscosity solutionsGeneral MathematicsFOS: MathematicsMathematics::Analysis of PDEsparabolic Monge–Ampère equationsAnalysis of PDEs (math.AP)
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Asymptotic Mean-Value Formulas for Solutions of General Second-Order Elliptic Equations

2022

Abstract We obtain asymptotic mean-value formulas for solutions of second-order elliptic equations. Our approach is very flexible and allows us to consider several families of operators obtained as an infimum, a supremum, or a combination of both infimum and supremum, of linear operators. The families of equations that we consider include well-known operators such as Pucci, Issacs, and k-Hessian operators.

osittaisdifferentiaaliyhtälötviscosity solutionsMathematics - Analysis of PDEsGeneral MathematicsFOS: MathematicsStatistical and Nonlinear Physicsmean-value formulasIssacs equationk-Hessian equationAnalysis of PDEs (math.AP)
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Solutions of nonlinear PDEs in the sense of averages

2012

Abstract We characterize p-harmonic functions including p = 1 and p = ∞ by using mean value properties extending classical results of Privaloff from the linear case p = 2 to all pʼs. We describe a class of random tug-of-war games whose value functions approach p-harmonic functions as the step goes to zero for the full range 1 p ∞ .

Class (set theory)Mean value theoremMathematics(all)Dynamic programming principleGeneral MathematicsAsymptotic expansion01 natural sciences1-harmonicApplied mathematics0101 mathematicsMathematicsp-harmonicApplied Mathematics010102 general mathematicsMathematical analysista111Zero (complex analysis)Sense (electronics)010101 applied mathematicsNonlinear systemRange (mathematics)Two-player zero-sum gamesMean value theorem (divided differences)Viscosity solutionsAsymptotic expansionValue (mathematics)Stochastic gamesJournal de Mathématiques Pures et Appliquées
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The ∞-Eigenvalue Problem

1999

. The Euler‐Lagrange equation of the nonlinear Rayleigh quotient \( \left(\int_{\Omega}|\nabla u|^{p}\,dx\right) \bigg/ \left(\int_{\Omega}|u|^{p}\,dx\right)\) is \( -\div\left( |\nabla u|^{p-2}\nabla u \right)= \Lambda_{p}^{p} |u |^{p-2}u,\) where \(\Lambda_{p}^{p}\) is the minimum value of the quotient. The limit as \(p\to\infty\) of these equations is found to be \(\max \left\{ \Lambda_{\infty}-\frac{|\nabla u(x)|}{u(x)},\ \ \Delta_{\infty}u(x)\right\}=0,\) where the constant \(\Lambda_{\infty}=\lim_{p\to\infty}\Lambda_{p}\) is the reciprocal of the maximum of the distance to the boundary of the domain Ω.

Mechanical EngineeringMathematical analysisMathematics::Analysis of PDEsOmegaCombinatoricsMathematics (miscellaneous)Infinity LaplacianDomain (ring theory)Nabla symbolRayleigh quotientAnalysisEigenvalues and eigenvectorsQuotientMathematicsArchive for Rational Mechanics and Analysis
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Convex functions on Carnot Groups

2007

We consider the definition and regularity properties of convex functions in Carnot groups. We show that various notions of convexity in the subelliptic setting that have appeared in the literature are equivalent. Our point of view is based on thinking of convex functions as subsolutions of homogeneous elliptic equations.

Convex analysisPure mathematicsCarnot groupsubelliptic equations.49L25Mathematics::Complex VariablesGeneral MathematicsMathematical analysissubelliptic equationsMathematics::Analysis of PDEsHorizontal convexityviscosity convexity35J70Convexitysymbols.namesakeCarnot groupsHomogeneous35J67Convex optimizationsymbolsPoint (geometry)Carnot cycleConvex function22E30Mathematics
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Convergence of dynamic programming principles for the $p$-Laplacian

2018

We provide a unified strategy to show that solutions of dynamic programming principles associated to the $p$-Laplacian converge to the solution of the corresponding Dirichlet problem. Our approach includes all previously known cases for continuous and discrete dynamic programming principles, provides new results, and gives a convergence proof free of probability arguments.

equivalent notions of solutions01 natural sciencesMathematics - Analysis of PDEsnumerical methodsConvergence (routing)FOS: MathematicsApplied mathematicsgeneralized viscosity solutiondiscrete approximationsMathematics - Numerical Analysis0101 mathematicsGeometry and topologyDirichlet problemMathematicsviscosity solutionosittaisdifferentiaaliyhtälötDirichlet problemasymptotic mean value propertiesconvergencenumeeriset menetelmätApplied Mathematics010102 general mathematicsNumerical Analysis (math.NA)dynamic programming principle010101 applied mathematicsDynamic programmingp-Laplacianmonotone approximationsapproksimointiAnalysisAnalysis of PDEs (math.AP)
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