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Constrained Nonsmooth Problems of the Calculus of Variations and Nonsmooth Noether Equations

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TLDR
In this article, the optimality conditions for nonsmooth variational problems of the calculus of variations with various types of constraints, such as additional constraints at the boundary, isoperimetric constraints, and nonholonomic inequality constraints, are derived.
Abstract
The paper is devoted to an analysis of optimality conditions for nonsmooth multidimensional problems of the calculus of variations with various types of constraints, such as additional constraints at the boundary, isoperimetric constraints, and nonholonomic inequality constraints. To derive optimality conditions, we study generalised concepts of differentiability of nonsmooth functions called codifferentiability and quasidifferentiability. Under some natural and easily verifiable assumptions we prove that a nonsmooth integral functional defined on the Sobolev space is continuously codifferentiable and compute its codifferential and quasidifferential. Then we apply general optimality conditions for nonsmooth optimisation problems in Banach spaces to obtain optimality conditions for nonsmooth problems of the calculus of variations. Through a series of simple examples we demonstrate that our optimality conditions are sometimes better than existing ones in terms of various subdifferentials, in the sense that our optimality conditions can detect the non-optimality of a given point when subdifferential-based optimality conditions fail to disqualify this point as non-optimal. Apart from standard optimality conditions, we also study so-called inner variations of nonsmooth integral functionals and utilise them to extend the Noether equations for variational problems to a nonsmooth setting. With the use of these equations we obtain a nonsmooth law of conservation of energy for autonomous nonsmooth variational problems. Finally, we discuss some difficulties one faces when trying to extend famous Noether's theorem on symmetries and conservation laws to a nonsmooth case.

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A New Constraint Qualification and Sharp Optimality Conditions for Nonsmooth Mathematical Programming Problems in Terms of Quasidifferentials

TL;DR: In this paper, the authors derived the strongest existing optimality conditions for nonsmooth mathematical programming problems with equality and inequality constraints in terms of Demyanov-Rubinov-Polyakova quasidifferentials under the minimal possible assumptions.
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Abstract convex approximations of nonsmooth functions

TL;DR: This article introduces the concepts of abstract codifferentiability, abstract quasidifferentiability and abstract convex (concave) approximations of a nonsmooth function mapping a topological vector space to an order complete topologicalvector lattice, and shows that abstract conveX and abstract concave approximation are a very convenient tool for the study of nonsm Smooth extremum problems.
Posted Content

Sharp Optimality Conditions for Nonsmooth Mathematical Programming Problems in Terms of Quasidifferentials

TL;DR: In this paper, an analysis of optimality conditions for nonsmooth mathematical programming problems with equality and inequality constraints in terms of Demyanov-Rubinov-Polyakova quasidifferentials is presented.
Journal ArticleDOI

The subdifferential descent method in a nonsmooth variational problem

A. V. Fominyh
- 30 Apr 2022 - 
TL;DR: In this article , a variational problem with a nonsmooth integrand of the functional to be minimized is studied and the integrand is shown to be subdifferentiable under some natural conditions.
References
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Optimization and nonsmooth analysis

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TL;DR: In this article, the authors consider non-convex variational problems with a priori estimate in convex programming and show that they can be solved by the minimax theorem.
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TL;DR: In this article, the authors discuss the properties of Vectors and Matrices, the Vec-Operator, the Moore-Penrose Inverse Miscellaneous Matrix Results, and the Linear Regression Model.
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Real Analysis: Modern Techniques and Their Applications

TL;DR: This book covers the subject matter that is central to mathematical analysis: measure and integration theory, some point set topology, and rudiments of functional analysis.
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