Publication Cover
Optimization
A Journal of Mathematical Programming and Operations Research
Volume 70, 2021 - Issue 9
63
Views
2
CrossRef citations to date
0
Altmetric
Articles

Local dense solutions for equilibrium problems with applications to noncooperative games

&
Pages 1987-2012 | Received 07 Jan 2019, Accepted 05 May 2020, Published online: 24 May 2020
 

Abstract

In this work, we establish several results concerning the existence of solutions for set-valued and single-valued equilibrium problems in real Hausdorff topological vector spaces. Firstly we introduce some generalizations of convexity and continuity conditions to set-valued mappings and then apply them to special dense subsets of the domain to obtain the existence of local dense solutions of equilibrium problems. Then the existence of the global solutions follows from a condition that is weaker than semistrict quasiconvexity. Specifically, we give an existence theorem for noncooperative n-person games, under assumptions imposed on a locally segment-dense subset of the strategy set of each player.

Acknowledgments

The authors are very grateful to the anonymous referee for his/her valuable remarks which improved the paper significantly. The second author gratefully acknowledges Arak University for financial support during this research.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The second author gratefully acknowledges Arak University for financial support during this research.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 630.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.