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Regularity Theory for Mean-Field Game Systems

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Regularity Theory for Mean-Field Game Systems/ by Diogo A. Gomes, Edgard A. Pimentel, Vardan Voskanyan.
Author:	Gomes, Diogo A.
other author:	Pimentel, Edgard A.
Description:	XIV, 156 p. 4 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Game theory. -
Online resource:	https://doi.org/10.1007/978-3-319-38934-9
ISBN:	9783319389349

Regularity Theory for Mean-Field Game Systems
Gomes, Diogo A.

Regularity Theory for Mean-Field Game Systems[electronic resource] /by Diogo A. Gomes, Edgard A. Pimentel, Vardan Voskanyan. - 1st ed. 2016. - XIV, 156 p. 4 illus. in color.online resource. - SpringerBriefs in Mathematics,2191-8198. - SpringerBriefs in Mathematics,.

Preface -- Introduction -- Explicit solutions, special transformations, and further examples -- Estimates for the Hamilton-Jacobi equation -- Estimates for the Transport and Fokker-Planck equations -- The nonlinear adjoint method -- Estimates for MFGs -- A priori bounds for stationary models -- A priori bounds for time-dependent models -- A priori bounds for models with singularities -- Non-local mean-field games - existence -- Local mean-field games - existence -- References -- Index.

Beginning with a concise introduction to the theory of mean-field games (MFGs), this book presents the key elements of the regularity theory for MFGs. It then introduces a series of techniques for well-posedness in the context of mean-field problems, including stationary and time-dependent MFGs, subquadratic and superquadratic MFG formulations, and distinct classes of mean-field couplings. It also explores stationary and time-dependent MFGs through a series of a-priori estimates for solutions of the Hamilton-Jacobi and Fokker-Planck equation. It shows sophisticated a-priori systems derived using a range of analytical techniques, and builds on previous results to explain classical solutions. The final chapter discusses the potential applications, models and natural extensions of MFGs. As MFGs connect common problems in pure mathematics, engineering, economics and data management, this book is a valuable resource for researchers and graduate students in these fields.

ISBN: 9783319389349

Standard No.: 10.1007/978-3-319-38934-9doiSubjects--Topical Terms:

556918
Game theory.

LC Class. No.: HB144

Dewey Class. No.: 519

Regularity Theory for Mean-Field Game Systems
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