• Login
    View Item 
    •   Home
    • Research
    • Articles
    • View Item
    •   Home
    • Research
    • Articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of KAUSTCommunitiesIssue DateSubmit DateThis CollectionIssue DateSubmit Date

    My Account

    Login

    Quick Links

    Open Access PolicyORCID LibguideTheses and Dissertations LibguideSubmit an Item

    Statistics

    Display statistics

    One-Dimensional Forward–Forward Mean-Field Games

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Type
    Article
    Authors
    Gomes, Diogo A. cc
    Nurbekyan, Levon cc
    Sedjro, Marc
    KAUST Department
    Applied Mathematics and Computational Science Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Date
    2016-11-01
    Online Publication Date
    2016-11-01
    Print Publication Date
    2016-12
    Permanent link to this record
    http://hdl.handle.net/10754/622228
    
    Metadata
    Show full item record
    Abstract
    While the general theory for the terminal-initial value problem for mean-field games (MFGs) has achieved a substantial progress, the corresponding forward–forward problem is still poorly understood—even in the one-dimensional setting. Here, we consider one-dimensional forward–forward MFGs, study the existence of solutions and their long-time convergence. First, we discuss the relation between these models and systems of conservation laws. In particular, we identify new conserved quantities and study some qualitative properties of these systems. Next, we introduce a class of wave-like equations that are equivalent to forward–forward MFGs, and we derive a novel formulation as a system of conservation laws. For first-order logarithmic forward–forward MFG, we establish the existence of a global solution. Then, we consider a class of explicit solutions and show the existence of shocks. Finally, we examine parabolic forward–forward MFGs and establish the long-time convergence of the solutions.
    Citation
    Gomes DA, Nurbekyan L, Sedjro M (2016) One-Dimensional Forward–Forward Mean-Field Games. Applied Mathematics & Optimization 74: 619–642. Available: http://dx.doi.org/10.1007/s00245-016-9384-y.
    Sponsors
    The authors were supported by KAUST baseline and start-up funds.
    Publisher
    Springer Nature
    Journal
    Applied Mathematics & Optimization
    DOI
    10.1007/s00245-016-9384-y
    arXiv
    1606.09064
    Additional Links
    http://link.springer.com/article/10.1007%2Fs00245-016-9384-y
    ae974a485f413a2113503eed53cd6c53
    10.1007/s00245-016-9384-y
    Scopus Count
    Collections
    Articles; Applied Mathematics and Computational Science Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

    entitlement

     
    DSpace software copyright © 2002-2023  DuraSpace
    Quick Guide | Contact Us | KAUST University Library
    Open Repository is a service hosted by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items. For anonymous users the allowed maximum amount is 50 search results.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.