Search results for "Subderivative"

showing 10 items of 27 documents

An upper bound for nonlinear eigenvalues on convex domains by means of the isoperimetric deficit

2010

We prove an upper bound for the first Dirichlet eigenvalue of the p-Laplacian operator on convex domains. The result implies a sharp inequality where, for any convex set, the Faber-Krahn deficit is dominated by the isoperimetric deficit.

Convex hullConvex analysisp-Laplace operatorGeneral MathematicsMathematical analysisConvex setDirichlet eigenvalueSubderivativeMathematics::Spectral TheoryCombinatoricsupper boundsSettore MAT/05 - Analisi MatematicaConvex polytopeConvex combinationAbsolutely convex setIsoperimetric inequalityMathematics
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Metric regularity and subdifferential calculus in Banach spaces

1995

In this paper we give verifiable conditions in terms of limiting Frechet subdifferentials ensuring the metric regularity of a multivalued functionF(x)=−g(x)+D. We apply our results to the study of the limiting Frechet subdifferential of a composite function defined on a Banach space.

Discrete mathematicsComposite functionPure mathematicsApplied MathematicsBanach spaceLimitingSubderivativemedicine.diseaseMetric (mathematics)medicineVerifiable secret sharingAnalysisCalculus (medicine)MathematicsSet-Valued Analysis
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Weak regularity of functions and sets in Asplund spaces

2006

Abstract In this paper, we study a new concept of weak regularity of functions and sets in Asplund spaces. We show that this notion includes prox-regular functions, functions whose subdifferential is weakly submonotone and amenable functions in infinite dimension. We establish also that weak regularity is equivalent to Mordukhovich regularity in finite dimension. Finally, we give characterizations of the weak regularity of epi-Lipschitzian sets in terms of their local representations.

Discrete mathematicsDimension (vector space)Applied MathematicsPartition regularityMathematics::Optimization and ControlSubderivativeAnalysisMathematicsNonlinear Analysis: Theory, Methods & Applications
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On Pareto optima, the Fermat-Weber problem, and polyhedral gauges

1990

This paper deals with multiobjective programming in which the objective functions are nonsymmetric distances (derived from different gauges) to the points of a fixed finite subset of ℝn. It emphasizes the case in which the gauges are polyhedral. In this framework the following result is known: if the gauges are polyhedral, then each Pareto optimum is the solution to a Fermat—Weber problem with strictly positive coefficients. We give a new proof of this result, and we show that it is useful in finding the whole set of efficient points of a location problem with polyhedral gauges. Also, we characterize polyhedral gauges in terms of a property of their subdifferential.

Fermat's Last TheoremMathematical optimizationHigh Energy Physics::LatticeGeneral MathematicsNumerical analysisPareto principleSubderivativeWeber problemLocation theorySet (abstract data type)High Energy Physics::TheoryMultiobjective programmingSoftwareMathematicsMathematical Programming
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Necessary Optimality Conditions in Multiobjective Dynamic Optimization

2004

We consider a nonsmooth multiobjective optimal control problem related to a general preference. Both differential inclusion and endpoint constraints are involved. Necessary conditions and Hamiltonian necessary conditions expressed in terms of the limiting Frechet subdifferential are developed. Examples of useful preferences are given.

Mathematical optimizationControl and OptimizationDifferential inclusionApplied MathematicsMathematics::Optimization and ControlLimitingSubderivativeOptimal controlHamiltonian (control theory)MathematicsSIAM Journal on Control and Optimization
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Necessary conditions for extremality and separation theorems with applications to multiobjective optimization

1998

The aim of this paper is to give necessary conditions for extremality in terms of an abstract subdifferential and to obtain general separation theorems including both finite and infinite classical separation theorems. This approach, which is mainly based on Ekeland's variational principle and the concept of locally weak-star compact cones, can be considered as a generalization f the notions of optima in problems of scalar or vector optimization with and without constraints. The results obtained are applied to derive new necessary optimality conditions for Pareto local minimum and weak Pareto minimum of nonsmooth multlobjectivep rogramming problems.

Mathematical optimizationVector optimizationControl and OptimizationGeneralizationVariational principleApplied MathematicsSeparation (aeronautics)Pareto principleScalar (physics)SubderivativeManagement Science and Operations ResearchMulti-objective optimizationMathematicsOptimization
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Controllability and strong controllability of differential inclusions

2012

Abstract In this paper, we prove sufficient conditions for controllability and strong controllability in terms of the Mordukhovich subdifferential for two classes of differential inclusions. The first one is the class of sub-Lipschitz multivalued functions introduced by Loewen–Rockafellar (1994) [10] . The second one, introduced recently by Clarke (2005) [18] , is the class of multivalued functions which are pseudo-Lipschitz and satisfy the so-called tempered growth condition. To do this, we establish an error bound result in terms of the Mordukhovich subdifferential outside Asplund spaces.

Mathematics::Functional Analysis0209 industrial biotechnologyClass (set theory)Pure mathematicsApplied Mathematics010102 general mathematicsMathematical analysis02 engineering and technologySubderivative01 natural sciencesControllability020901 industrial engineering & automationDifferential inclusion0101 mathematicsAnalysisMathematicsNonlinear Analysis: Theory, Methods & Applications
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The approximate subdifferential of composite functions

1993

This paper deals with the approximate subdifferential chain rule in a Banach space. It establishes specific results when the real-valued function is locally Lipschitzian and the mapping is strongly compactly Lipschitzian.

Mathematics::Functional AnalysisComputer Science::Systems and ControlGeneral MathematicsMathematical analysisComposite numberMathematics::Optimization and ControlBanach spaceApplied mathematicsFunction (mathematics)SubderivativeChain ruleMathematicsBulletin of the Australian Mathematical Society
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Qualification conditions for multivalued functions in Banach spaces with applications to nonsmooth vector optimization problems

1994

In this paper we introduce qualification conditions for multivalued functions in Banach spaces involving the A-approximate subdifferential, and we show that these conditions guarantee metric regularity of multivalued functions. The results are then applied for deriving Lagrange multipliers of Fritz—John type and Kuhn—Tucker type for infinite non-smooth vector optimization problems.

Mathematics::Functional AnalysisMathematical optimizationMultivalued functionGeneral MathematicsNumerical analysisMathematics::Optimization and ControlBanach spaceSubderivativeType (model theory)Physics::History of Physicssymbols.namesakeVector optimizationLagrange multiplierMetric (mathematics)symbolsApplied mathematicsSoftwareMathematicsMathematical Programming
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Noncoincidence of Approximate and Limiting Subdifferentials of Integral Functionals

2011

For a locally Lipschitz integral functional $I_f$ on $L^1(T,\mathbf{R}^n)$ associated with a measurable integrand f, the limiting subdifferential and the approximate subdifferential never coincide at a point $x_0$ where $f(t,\cdot)$ is not subdifferentially regular at $x_0(t)$ for a.e. $t\in T$. The coincidence of both subdifferentials occurs on a dense set of $L^1(T,\mathbf{R}^n)$ if and only if $f(t,\cdot)$ is convex for a.e. $t\in T$. Our results allow us to characterize Aubin's Lipschitz-like property as well as the convexity of multivalued mappings between $L^1$-spaces. New necessary optimality conditions for some Bolza problems are also obtained.

Mathematics::Functional AnalysisPure mathematicsControl and OptimizationDense setApplied MathematicsMathematical analysisMathematics::Analysis of PDEsMathematics::Optimization and ControlRegular polygonLimitingSubderivativeLipschitz continuityConvexityCoincidenceMathematicsSIAM Journal on Control and Optimization
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