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July  2014, 1(3): 363-375. doi: 10.3934/jdg.2014.1.363

Pure and Random strategies in differential game with incomplete informations

Pierre Cardaliaguet 1, , Chloé Jimenez 2, and  Marc Quincampoix 2,

1. 

CEREMADE, Université Paris-Dauphine, Place du Maréchal de Lattre de Tassigny, 75016 Paris, France
2. 

Laboratoire de Mathématiques de Bretagne Atlantique, CNRS-UMR 6205, Université de Brest, 6, avenue Victor Le Gorgeu, CS 93837, 29238 Brest cedex 3, France, France

Received  November 2012 Revised  May 2013 Published  July 2014

We investigate a two players zero sum differential game with incomplete information on the initial state: The first player has a private information on the initial state while the second player knows only a probability distribution on the initial state. This could be view as a generalization to differential games of the famous Aumann-Maschler framework for repeated games. In an article of the first author, the existence of the value in random strategies was obtained for a finite number of initial conditions (the probability distribution is a finite combination of Dirac measures). The main novelty of the present work consists in : first extending the result on the existence of a value in random strategies for infinite number of initial conditions and second - and mainly - proving the existence of a value in pure strategies when the initial probability distribution is regular enough (without atoms).
Keywords: Wasserstein distance., zero-sum games, incomplete information, Differential games, purification.
Mathematics Subject Classification: Primary: 49N70; Secondary: 91A0.
Citation: Pierre Cardaliaguet, Chloé Jimenez, Marc Quincampoix. Pure and Random strategies in differential game with incomplete informations. Journal of Dynamics & Games, 2014, 1 (3) : 363-375. doi: 10.3934/jdg.2014.1.363
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show all references

References:
[1]

CIME Summer School in Madeira, Vol. 1812, Springer, 2003. doi: 10.1007/978-3-540-39189-0_1.  Google Scholar

[2]

in Advances in Game Theory, Princeton Univ. Press, Princeton, N.J., 1964, 627-650.  Google Scholar

[3]

MIT Press, Cambridge, MA, 1995.  Google Scholar

[4]

Dynamic Games Applications, 1 (2011), 74-114. doi: 10.1007/s13235-010-0005-0.  Google Scholar

[5]

Internat. J. of Game Theory, 42 (2013), 989-1020. doi: 10.1007/s00182-012-0351-9.  Google Scholar

[6]

SIAM J. Control Optim., 46 (2007), 816-838. doi: 10.1137/060654396.  Google Scholar

[7]

Int. Game Theory Rev., 10 (2008), 1-16. doi: 10.1142/S021919890800173X.  Google Scholar

[8]

Appl. Math. Optim., 59 (2009), 1-36. doi: 10.1007/s00245-008-9042-0.  Google Scholar

[9]

Dyn. Games Appl., 2 (2012), 206-227. doi: 10.1007/s13235-012-0043-x.  Google Scholar

[10]

North-Holland Mathematics Studies, North-Holland Publishing Co., Amsterdam, 1978.  Google Scholar

[11]

CORE Discussion Papers 9420, 9421, 9422, 1994. doi: 10.1057/9780230226203.3424.  Google Scholar

[12]

Ann. Inst. H. Poincaré Probab. Statist., 43 (2007), 1-13. doi: 10.1016/j.anihpb.2005.12.001.  Google Scholar

[13]

Journal of Statistical Physics, 7 (1973), 295-300. doi: 10.1007/BF01014905.  Google Scholar

[14]

Graduate studies in Mathematics, Vol. 58, AMS, 2003. doi: 10.1007/b12016.  Google Scholar

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