Abstract

This paper introduces and studies the class of differential variational inequalities (DVIs) in a finite-dimensional Euclidean space. The DVI provides a powerful modeling paradigm for many applied problems in which dynamics, inequalities, and discontinuities are present; examples of such problems include constrained time-dependent physical systems with unilateral constraints, differential Nash games, and hybrid engineering systems with variable structures. The DVI unifies several mathematical problem classes that include ordinary differential equations (ODEs) with smooth and discontinuous right-hand sides, differential algebraic equations (DAEs), dynamic complementarity systems, and evolutionary variational inequalities. Conditions are presented under which the DVI can be converted, either locally or globally, to an equivalent ODE with a Lipschitz continuous right-hand function. For DVIs that cannot be so converted, we consider their numerical resolution via an Euler time-stepping procedure, which involves the solution of a sequence of finite-dimensional variational inequalities. Borrowing results from differential inclusions (DIs) with upper semicontinuous, closed and convex valued multifunctions, we establish the convergence of such a procedure for solving initial-value DVIs. We also present a class of DVIs for which the theory of DIs is not directly applicable, and yet similar convergence can be established. Finally, we extend the method to a boundary-value DVI and provide conditions for the convergence of the method. The results in this paper pertain exclusively to systems with “index” not exceeding two and which have absolutely continuous solutions.

Highlights

  • Ordinary differential equations (ODEs) with smooth input functions are a classical paradigm in applied mathematics that have existed for centuries

  • Since we are interested in computational methods for differential variational inequalities (DVIs), we find it useful to begin early in our discussion to address this important aspect of our study

  • We have undertaken an extensive study on the DVI and several of its special cases, including the generalized linear complementarity system (LCS)

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Summary

Introduction

Ordinary differential equations (ODEs) with smooth input functions are a classical paradigm in applied mathematics that have existed for centuries. Built on the “static” finite-dimensional variational inequalities (VIs), for which a comprehensive reference is available [38], differential variational inequalities (DVIs), which include differential complementarity problems (DCPs), provide a fundamental generalization of DAEs that significantly extends these differential equations and opens up a broad paradigm for the enhanced modeling of complex engineering systems. Two sets of mathematical theories provide the cornerstone for our development: differential inclusions ( known as multivalued differential equations) [10,32, 66, 89] and finite-dimensional variational inequalities (VIs) and complementarity problems (CPs) [38]

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