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

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Description

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.
Release date NZ
September 22nd, 2016
Pages
156
Edition
1st ed. 2016
Audience
  • Postgraduate, Research & Scholarly
Illustrations
4 Illustrations, color; XIV, 156 p. 4 illus. in color.
Dimensions
155x235x9
ISBN-13
9783319389325
Product ID
25222715

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