2 The basic setting of MFG methodology and the strategy for its implementation

In this paper, we investigate the mean field games with K classes of agents who are weakly coupled via the empirical measure. The underlying dynamics of the representative agents is assumed to be a controlled nonlinear Markov process associated with rather general integro-differential generators of Lévy-Khintchine type (with variable coefficients), with the major stress on applications to stable and stablelike processes, as well as their various modifications like tempered stable-like processes or their mixtures with diffusions. We show that nonlinear measure-valued kinetic equations describing the dynamic law of large numbers limit for system with large number N of agents are solvable and that their solutions represent 1/N -Nash equilibria for approximating systems of N agents. Mathematics Subject Classification (2000): 60H30, 60J25, 91A13, 91A15.

[1]  V. Kolokoltsov Nonlinear Markov Processes and Kinetic Equations , 2010 .

[2]  P. Ferrari Limit Theorems for Tagged Particles , 1996 .

[3]  M. Benaïm,et al.  A class of mean field interaction models for computer and communication systems , 2008, 2008 6th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks and Workshops.

[4]  Vassili N. Kolokoltsov,et al.  Symmetric Stable Laws and Stable‐Like Jump‐Diffusions , 2000 .

[5]  David R. Cox,et al.  The Theory of Stochastic Processes , 1967, The Mathematical Gazette.

[6]  Nonlinear Averaging Axioms in Financial Mathematics and Stock Price Dynamics , 2004 .

[7]  B. Jourdain,et al.  Convergence of a stochastic particle approximation for fractional scalar conservation laws , 2010, 1006.4047.

[8]  P. Lions,et al.  Mean field games , 2007 .

[9]  N. Vvedenskaya,et al.  Dobrushin's Mean-Field Approximation for a Queue With Dynamic Routing , 1997 .

[10]  W. Fleming,et al.  Controlled Markov processes and viscosity solutions , 1992 .

[11]  A. Shiryaev,et al.  Limit Theorems for Stochastic Processes , 1987 .

[12]  Krzysztof Sadlej,et al.  Deterministic limit of tagged particle motion: Effect of reflecting boundaries , 2003 .

[13]  Till Frank Nonlinear Markov processes , 2008 .

[14]  Brian Jefferies Feynman-Kac Formulae , 1996 .

[15]  Boualem Djehiche,et al.  Mean-Field Backward Stochastic Differential Equations . A Limit Approach ∗ , 2007 .

[16]  Stefano Olla,et al.  Central limit theorems for tagged particles and for diffusions in random environment , 2001 .

[17]  P. Caines,et al.  Individual and mass behaviour in large population stochastic wireless power control problems: centralized and Nash equilibrium solutions , 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

[18]  Minyi Huang,et al.  Large-Population LQG Games Involving a Major Player: The Nash Certainty Equivalence Principle , 2009, SIAM J. Control. Optim..

[19]  M. Benaïm,et al.  Deterministic Approximation of Stochastic Evolution in Games , 2003 .

[20]  W. Wagner,et al.  A stochastic method for solving Smoluchowski's coagulation equation , 1999 .

[21]  Stochastic differential equations driven by stable processes for which pathwise uniqueness fails , 2004 .

[22]  James R. Norris,et al.  Coupling Algorithms for Calculating Sensitivities of Smoluchowski's Coagulation Equation , 2010, SIAM J. Sci. Comput..

[23]  J. Gillis,et al.  Probability and Related Topics in Physical Sciences , 1960 .

[24]  Vassili N. Kolokoltsov Measure-valued limits of interacting particle systems with k-nary interactions II. Finite-dimensional limits , 2004 .

[25]  A. Sznitman Topics in propagation of chaos , 1991 .

[26]  Daniel Andersson,et al.  A Maximum Principle for SDEs of Mean-Field Type , 2011 .

[27]  R. Schilling,et al.  Levy-Type Processes and Pseudodifferential Operators , 2001 .

[28]  Peter E. Caines,et al.  Large population stochastic dynamic games: closed-loop McKean-Vlasov systems and the Nash certainty equivalence principle , 2006, Commun. Inf. Syst..

[29]  T. Uemura A REMARK ON NON-LOCAL OPERATORS WITH VARIABLE ORDER , 2009 .

[30]  Peter E. Caines,et al.  The NCE (Mean Field) Principle With Locality Dependent Cost Interactions , 2010, IEEE Transactions on Automatic Control.

[31]  I. Gihman,et al.  Controlled Stochastic Processes , 1979 .

[32]  Minyi Huang,et al.  Large-Population Cost-Coupled LQG Problems With Nonuniform Agents: Individual-Mass Behavior and Decentralized $\varepsilon$-Nash Equilibria , 2007, IEEE Transactions on Automatic Control.

[33]  Jean-Yves Le Boudec,et al.  A Generic Mean Field Convergence Result for Systems of Interacting Objects , 2007, Fourth International Conference on the Quantitative Evaluation of Systems (QEST 2007).

[34]  Vassili N. Kolokoltsov,et al.  Nonlinear Markov Semigroups and Interacting Lévy Type Processes , 2007 .

[35]  Richard F. Bass,et al.  Systems of equations driven by stable processes , 2006 .

[36]  R. Radner Collusive behavior in noncooperative epsilon-equilibria of oligopolies with long but finite lives , 1980 .

[37]  Quantum evolution as a nonlinear Markov process , 2002 .

[38]  Stochastic Integrals and SDE Driven by Nonlinear Lévy Noise , 2011 .

[39]  D. Fudenberg,et al.  Limit Games and Limit Equilibria , 1986 .

[40]  Niels Jacob,et al.  Pseudo-Differential Operators and Markov Processes , 1996 .

[41]  Robert H. Martin,et al.  Nonlinear operators and differential equations in Banach spaces , 1976 .

[42]  Ya. I. Belopolskaya A Probabilistic Approach to a Solution of Nonlinear Parabolic Equations , 2005 .

[43]  Hirofumi Osada,et al.  Tagged particle processes and their non-explosion criteria , 2009, 0905.3973.

[44]  Dan Crisan Particle Approximations for a Class of Stochastic Partial Differential Equations , 2006 .

[45]  Martino Bardi,et al.  Explicit solutions of some linear-quadratic mean field games , 2012, Networks Heterog. Media.

[46]  William M. McEneaney,et al.  Max-plus methods for nonlinear control and estimation , 2005 .

[47]  V. Kolokoltsov The central limit theorem for the Smoluchovski coagulation model , 2007, 0708.0329.

[48]  P. Caines,et al.  Nash Equilibria for Large-Population Linear Stochastic Systems of Weakly Coupled Agents , 2005 .

[49]  Vassili N. Kolokoltsov On the regularity of solutions to the spatially homogeneous Boltzmann equation with polynomially growing collision kernel , 2006 .

[50]  Uniformization method in the theory of Nonlinear Hamiltonian systems of Vlasov and Hartree type , 1977 .

[51]  D. Applebaum Lévy Processes and Stochastic Calculus: Preface , 2009 .

[52]  A. Lachapelle,et al.  COMPUTATION OF MEAN FIELD EQUILIBRIA IN ECONOMICS , 2010 .

[53]  Yves Achdou,et al.  Mean Field Games: Numerical Methods , 2010, SIAM J. Numer. Anal..

[54]  Chen C. Chang Understanding the Game Theory , 2003 .

[55]  H. McKean,et al.  A CLASS OF MARKOV PROCESSES ASSOCIATED WITH NONLINEAR PARABOLIC EQUATIONS , 1966, Proceedings of the National Academy of Sciences of the United States of America.

[56]  V. Kolokoltsov The Lévy–Khintchine type operators with variable Lipschitz continuous coefficients generate linear or nonlinear Markov processes and semigroups , 2009, 0911.5688.

[57]  Ilie Grigorescu Uniqueness of the Tagged Particle Process in a System with Local Interactions , 1999 .

[58]  Eulalia Nualart,et al.  Estimates for the density of a nonlinear Landau process , 2005, math/0510439.

[59]  V. Kolokoltsov Markov Processes, Semigroups and Generators , 2011 .

[60]  Ismael Bailleul,et al.  Sensitivity for the Smoluchowski equation , 2008, 0809.4640.

[61]  Vladimir I. Bogachev,et al.  Nonlinear evolution and transport equations for measures , 2009 .

[62]  M. T. Barlow,et al.  Non-local dirichlet forms and symmetric jump processes , 2006 .

[63]  Vassili N. Kolokoltsov Nonlinear Levy and nonlinear Feller processes : an analytic introduction , 2012 .

[64]  R. Selten Reexamination of the perfectness concept for equilibrium points in extensive games , 1975, Classics in Game Theory.

[65]  Nicolas Fournier,et al.  Smoluchowski's equation: rate of convergence of the Marcus-Lushnikov process , 2010 .