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On solutions of mean field games with ergodic cost

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dc.contributor.author Arapostathis, Ari en_US
dc.contributor.author BISWAS, ANUP en_US
dc.contributor.author Carroll, Johnson en_US
dc.date.accessioned 2019-07-01T05:37:43Z
dc.date.available 2019-07-01T05:37:43Z
dc.date.issued 2017-02 en_US
dc.identifier.citation Journal de Math-matiques Pures et Appliqu-es, 107(2), 205-251. en_US
dc.identifier.issn 0021-7824 en_US
dc.identifier.issn 1776-3371 en_US
dc.identifier.uri http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/3344
dc.identifier.uri https://doi.org/10.1016/j.matpur.2016.06.004 en_US
dc.description.abstract A general class of mean field games are considered where the governing dynamics are controlled diffusions in . The optimization criterion is the long time average of a running cost function. Under various sets of hypotheses, we establish the existence of mean field game solutions. We also study the long time behavior of the mean field game solutions associated with the finite horizon problem, and under the assumption of geometric ergodicity for the dynamics, we show that these converge to the ergodic mean field game solution as the horizon tends to infinity. Lastly, we study the associated N-player games, show existence of Nash equilibria, and establish the convergence of the solutions associated to Nash equilibria of the game to a mean field game solution as . en_US
dc.language.iso en en_US
dc.publisher Elsevier B.V. en_US
dc.subject On solutions en_US
dc.subject Field games en_US
dc.subject Ergodic cost en_US
dc.subject N-person games en_US
dc.subject Nash equilibrium en_US
dc.subject Ergodic control en_US
dc.subject Convergence of equilibria en_US
dc.subject Relative value iteration en_US
dc.subject Mckean-Vlasov limit en_US
dc.subject 2017 en_US
dc.title On solutions of mean field games with ergodic cost en_US
dc.type Article en_US
dc.contributor.department Dept. of Mathematics en_US
dc.identifier.sourcetitle Journal de Math-matiques Pures et Appliqu-es en_US
dc.publication.originofpublisher Foreign en_US


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