Properties for a class of multi-type mean-field models

This work develops properties of a class of multi-type mean-field models represented by solutions of stochastic differential equations with random switching. Using stochastic calculus, we prove the existence and uniqueness of the global solution and its positivity. In addition to deriving bounds on the moments of the solutions, we derive upper and lower bounds of the growth, and decay rates of the solutions.

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

[2]  G. Yin,et al.  On competitive Lotka-Volterra model in random environments , 2009 .

[3]  J. Gärtner On the McKean‐Vlasov Limit for Interacting Diffusions , 1988 .

[4]  V. Borkar,et al.  McKean–Vlasov Limit in Portfolio Optimization , 2010 .

[5]  Hiroshi Tanaka,et al.  Some probabilistic problems in the spatially homogeneous Boltzmann equation , 1983 .

[6]  Nguyen Huu Du,et al.  Dynamics of a stochastic Lotka–Volterra model perturbed by white noise , 2006 .

[7]  G. Kallianpur Stochastic differential equations and diffusion processes , 1981 .

[8]  Francesca Collet Macroscopic Limit of a Bipartite Curie–Weiss Model: A Dynamical Approach , 2014, 1406.4044.

[9]  D. Dawson Critical dynamics and fluctuations for a mean-field model of cooperative behavior , 1983 .

[10]  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.

[11]  Minyi Huang,et al.  Linear-Quadratic-Gaussian Mixed Games with Continuum-Parametrized Minor Players , 2012, SIAM J. Control. Optim..

[12]  A. Bensoussan,et al.  Mean Field Games and Mean Field Type Control Theory , 2013 .

[13]  Peter E. Caines,et al.  Epsilon-Nash Mean Field Game Theory for Nonlinear Stochastic Dynamical Systems with Major and Minor Agents , 2012, SIAM J. Control. Optim..

[14]  Peter E. Caines,et al.  An Invariance Principle in Large Population Stochastic Dynamic Games , 2007, J. Syst. Sci. Complex..

[15]  Hiroshi Tanaka Limit Theorems for Certain Diffusion Processes with Interaction , 1984 .

[16]  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..

[17]  Ioannis Karatzas,et al.  Brownian Motion and Stochastic Calculus , 1987 .

[18]  P. Lions,et al.  Jeux à champ moyen. II – Horizon fini et contrôle optimal , 2006 .

[19]  J. Touboul,et al.  Mean-field description and propagation of chaos in networks of Hodgkin-Huxley and FitzHugh-Nagumo neurons , 2012, The Journal of Mathematical Neuroscience.

[20]  A. Friedman Stochastic Differential Equations and Applications , 1975 .

[21]  W. Braun,et al.  The Vlasov dynamics and its fluctuations in the 1/N limit of interacting classical particles , 1977 .

[22]  P. Caines,et al.  Social optima in mean field LQG control: Centralized and decentralized strategies , 2009 .

[23]  J. Gärtner,et al.  Large deviations from the mckean-vlasov limit for weakly interacting diffusions , 1987 .

[24]  Kai Liu Stochastic Stability of Differential Equations in Abstract Spaces , 2019 .

[25]  PHASE TRANSITIONS IN SOCIAL SCIENCES: TWO-POPULATION MEAN FIELD THEORY , 2007, physics/0702076.

[26]  Hiroshi Tanaka Probabilistic treatment of the Boltzmann equation of Maxwellian molecules , 1978 .

[27]  Hiroshi Tanaka,et al.  Central limit theorem for a simple diffusion model of interacting particles , 1981 .

[28]  G. Yin,et al.  Mean-field Models Involving Continuous-state-dependent Random Switching: Nonnegativity Constraints, Moment Bounds, and Two-time-scale Limits , 2011 .

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