Characterizations of Pareto-Nash Equilibria for Multiobjective Potential Population Games
Guanghui Yang,
Chanchan Li,
Jinxiu Pi,
Chun Wang,
Wenjun Wu and
Hui Yang
Additional contact information
Guanghui Yang: School of Mathematics and Statistics, Guizhou University, Guiyang, Guizhou 550025, China
Chanchan Li: School of Mathematics and Statistics, Guizhou University, Guiyang, Guizhou 550025, China
Jinxiu Pi: School of Mathematics and Statistics, Guizhou University, Guiyang, Guizhou 550025, China
Chun Wang: School of Mathematics and Statistics, Guizhou University, Guiyang, Guizhou 550025, China
Wenjun Wu: School of Mathematics and Statistics, Guizhou University, Guiyang, Guizhou 550025, China
Hui Yang: School of Mathematics and Statistics, Guizhou University, Guiyang, Guizhou 550025, China
Mathematics, 2021, vol. 9, issue 1, 1-13
Abstract:
This paper studies the characterizations of (weakly) Pareto-Nash equilibria for multiobjective population games with a vector-valued potential function called multiobjective potential population games, where agents synchronously maximize multiobjective functions with finite strategies via a partial order on the criteria-function set. In such games, multiobjective payoff functions are equal to the transpose of the Jacobi matrix of its potential function. For multiobjective potential population games, based on Kuhn-Tucker conditions of multiobjective optimization, a strongly (weakly) Kuhn-Tucker state is introduced for its vector-valued potential function and it is proven that each strongly (weakly) Kuhn-Tucker state is one (weakly) Pareto-Nash equilibrium. The converse is obtained for multiobjective potential population games with two strategies by utilizing Tucker’s Theorem of the alternative and Motzkin’s one of linear systems. Precisely, each (weakly) Pareto-Nash equilibrium is equivalent to a strongly (weakly) Kuhn-Tucker state for multiobjective potential population games with two strategies. These characterizations by a vector-valued approach are more comprehensive than an additive weighted method. Multiobjective potential population games are the extension of population potential games from a single objective to multiobjective cases. These novel results provide a theoretical basis for further computing (weakly) Pareto-Nash equilibria of multiobjective potential population games and their practical applications.
Keywords: multiobjective potential population games; Pareto-Nash equilibria; strongly Kuhn-Tucker states (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2227-7390/9/1/99/pdf (application/pdf)
https://www.mdpi.com/2227-7390/9/1/99/ (text/html)
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:gam:jmathe:v:9:y:2021:i:1:p:99-:d:474901
Access Statistics for this article
Mathematics is currently edited by Ms. Emma He
More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().