UPPER ERROR BOUNDS OF DG-FUNCTIONS FOR HISTORY-DEPENDENT VARIATIONAL-HEMIVARIATIONAL INEQUALITIES

Vo Minh Tam*, Jein Shan Chen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

The aim of this paper is to study the difference gap function (for brevity, DG-function) and upper error bounds for an abstract class of variational-hemivariational inequalities with history-dependent operators (for brevity, HDVHIs). First, we propose a new concept of gap functions to the HDVHIs and consider the regularized gap function (for brevity, RG-function) for the HDVHIs using the optimality condition for the concerning minimization problem. Then, the DG-function for the HDVHIs depending on these RG-functions is constructed. Finally, we establish upper error bounds for the HDVHIs controlled by the RG-function and the DG-function under suitable conditions.

Original languageEnglish
Pages (from-to)347-367
Number of pages21
JournalApplied Set-Valued Analysis and Optimization
Volume5
Issue number3
DOIs
Publication statusPublished - 2023

Keywords

  • Gap function
  • History-dependent operator
  • Upper error bound
  • Variational-hemivariational inequality

ASJC Scopus subject areas

  • Analysis
  • Numerical Analysis
  • Mathematics (miscellaneous)
  • Modelling and Simulation
  • Control and Optimization
  • Applied Mathematics

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