Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Regularity Theory for Mean-Field Game Systems, PDF eBook

Regularity Theory for Mean-Field Game Systems PDF

Part of the SpringerBriefs in Mathematics series

PDF

Please note: eBooks can only be purchased with a UK issued credit card and all our eBooks (ePub and PDF) are DRM protected.

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.

Information

Other Formats

Information

Also in the SpringerBriefs in Mathematics series  |  View all