Mean Field Games of Controls with Fractional Laplacian

We analyze a fractional mean field game of controls system, showing existence of solutions when the order of the fractional Laplacian is s∈(1/2,1). Here the running cost depends on the distribution $μ$ of not only the states but also optimal strategies. The coupling is assumed to satisfy the Lasry-Lions monotonicity condition. We derive three types of a priori estimates on solutions. First, we use the monotonicity condition to derive moment estimates on $μ$. Second, we derive abstract estimates on fractional parabolic equations and apply them to the mean field game. Third, we derive new estimates on the time regularity of the distribution $μ$ by analyzing the associated Lévy process. We apply these estimates and the Leray-Schauder fixed point theorem to establish existence of solutions.