Spectral gap for the stochastic quantization equation on the 2-dimensional torus

We study the long time behavior of the stochastic quantization equation. Extending recent results by Mourrat and Weber we first establish a strong non-linear dissipative bound that gives control of moments of solutions at all positive times independent of the initial datum. We then establish that solutions give rise to a Markov process whose transition semigroup satisfies the strong Feller property. Following arguments by Chouk and Friz we also prove a support theorem for the laws of the solutions. Finally all of these results are combined to show that the transition semigroup satisfies the Doeblin criterion which implies exponential convergence to equilibrium. Along the way we give a simple direct proof of the Markov property of solutions and an independent argument for the existence of an invariant measure using the Krylov-Bogoliubov existence theorem. Our method makes no use of the reversibility of the dynamics or the explicit knowledge of the invariant measure and it is therefore in principle applicable to situations where these are not available, e.g. the vector-valued case.

[1]  Eberhard Zeidler,et al.  Applied Functional Analysis: Main Principles and Their Applications , 1995 .

[2]  E. Valdinoci,et al.  Hitchhiker's guide to the fractional Sobolev spaces , 2011, 1104.4345.

[3]  G. Prato,et al.  Strong solutions to the stochastic quantization equations , 2003 .

[4]  J. Norris Simplified Malliavin calculus , 1986 .

[5]  G. Jona-Lasinio,et al.  On the stochastic quantization of field theory , 1985 .

[6]  H. Weber,et al.  Convergence of the Two‐Dimensional Dynamic Ising‐Kac Model to Φ24 , 2017 .

[7]  Jonathan C. Mattingly,et al.  The strong Feller property for singular stochastic PDEs , 2016, Annales de l'Institut Henri Poincaré, Probabilités et Statistiques.

[8]  M. Röckner,et al.  Stochastic differential equations in infinite dimensions: solutions via Dirichlet forms , 1991 .

[9]  A. Stuart,et al.  ANALYSIS OF SPDES ARISING IN PATH SAMPLING PART II: THE NONLINEAR CASE , 2006, math/0601092.

[10]  A. Balakrishnan Applied Functional Analysis , 1976 .

[11]  Martin Hairer,et al.  A theory of regularity structures , 2013, 1303.5113.

[12]  Jonathan C. Mattingly,et al.  Asymptotic coupling and a general form of Harris’ theorem with applications to stochastic delay equations , 2009, 0902.4495.

[13]  J. K. Hunter,et al.  Measure Theory , 2007 .

[14]  Ericka Stricklin-Parker,et al.  Ann , 2005 .

[15]  T. Kurtz,et al.  Stochastic equations in infinite dimensions , 2006 .

[16]  R. Danchin,et al.  Fourier Analysis and Nonlinear Partial Differential Equations , 2011 .

[17]  Rongchan Zhu,et al.  Restricted Markov uniqueness for the stochastic quantization of $P(\Phi)_2$ and its applications , 2015 .

[18]  D. Nualart The Malliavin Calculus and Related Topics , 1995 .

[19]  M. Yor,et al.  Continuous martingales and Brownian motion , 1990 .

[20]  G. M.,et al.  Partial Differential Equations I , 2023, Applied Mathematical Sciences.

[21]  M. Röckner,et al.  Ergodicity for the Stochastic Quantization Problems on the 2D-Torus , 2016, 1606.02102.