Existence and Uniqueness of Solutions of Generalized Mixed Variational Inequalities
Jian-Xun Liu (),
Zhao-Feng Lan () and
Zheng-Hai Huang ()
Additional contact information
Jian-Xun Liu: Guangxi Minzu University
Zhao-Feng Lan: Guangxi Minzu University
Zheng-Hai Huang: Tianjin University
Journal of Optimization Theory and Applications, 2025, vol. 205, issue 1, No 16, 21 pages
Abstract:
Abstract In this paper, we study the generalized mixed variational inequality, which encompasses both the generalized variational inequality and the mixed variational inequality. The core contribution of this paper is twofold. Firstly, by utilizing the principles of degree theory, we establish certain sufficient conditions for the existence of solutions to the generalized mixed variational inequality. Additionally, we formulate a sufficient condition that ensures the uniqueness of these solutions. Secondly, we recognize that the conditions outlined in our theorem are inapplicable to the generalized mixed polynomial variational inequality, a subclass within the broader family of generalized mixed variational inequalities. To address this, we employ an exceptional family of elements and establish an existence and uniqueness theorem specifically tailored for the generalized mixed polynomial variational inequality.
Keywords: Generalized mixed variational inequalities; Generalized mixed polynomial variational inequality; Tensor; Existence and uniqueness; Degree theory; Exceptional family of elements; 90C33; 65K15 (search for similar items in EconPapers)
Date: 2025
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10957-025-02636-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:joptap:v:205:y:2025:i:1:d:10.1007_s10957-025-02636-1
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2
DOI: 10.1007/s10957-025-02636-1
Access Statistics for this article
Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull
More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().