Well-Posedness for Mean Field Games with Finite State and Action Space
Lu-ping Liu () and
Wen-sheng Jia ()
Additional contact information
Lu-ping Liu: Guizhou University
Wen-sheng Jia: Guizhou University
Journal of Optimization Theory and Applications, 2024, vol. 201, issue 1, No 2, 36-53
Abstract:
Abstract The main purpose of this paper is to investigate the well-posedness for mean field game with finite state and action space (FSASMFG) by using nonlinear analysis methods. First, we set up the bounded rationality model of the FSASMFG in the topological space. Next, we study some sufficient conditions of generalized strong well-posedness (GS-wp) and strong well-posedness (S-wp) for a class of FSASMFGs. Finally, we give some characterizations of GS-wp and S-wp for FSASMFGs with the help of set-valued analysis methods. These new results presented in the paper develop and improve the corresponding conclusions in the recent literature.
Keywords: Mean field game; Well-posedness; Bounded rationality model; 49K40; 91A13; 91A25; 91A26 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10957-024-02379-5 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:201:y:2024:i:1:d:10.1007_s10957-024-02379-5
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2
DOI: 10.1007/s10957-024-02379-5
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 ().