Discrete pseudo-differential operators and applications to numerical schemes

We define a class of discrete operators acting on infinite, finite or periodic sequences mimicking the standard properties of pseudo-differential operators. In particular we can define the notion of order and regularity, and we recover the fundamental property that the commutator of two discrete operators gains one order of regularity. We show that standard differential operators acting on periodic functions, finite difference operators and fully discrete pseudo-spectral methods fall into this class of discrete pseudo-differential operators. As examples of practical applications, we revisit standard error estimates for the convergence of splitting methods, obtaining in some Hamiltonian cases no loss of derivative in the error estimates, in particular for discretizations of general waves and/or water-waves equations. Moreover, we give an example of preconditioner constructions inspired by normal form analysis to deal with the similar question for more general cases.

[1]  S. Agmon,et al.  Estimates near the boundary for solutions of elliptic partial differential equations satisfying general boundary conditions. I , 1959 .

[2]  D. Robert,et al.  Growth of Sobolev norms for abstract linear Schrödinger equations , 2017, Journal of the European Mathematical Society.

[3]  P. Lions,et al.  Ordinary differential equations, transport theory and Sobolev spaces , 1989 .

[4]  Alexander Ostermann,et al.  Error estimates of a Fourier integrator for the cubic Schrödinger equation at low regularity , 2019, Found. Comput. Math..

[5]  J. Ginibre,et al.  Scattering theory in the energy space for a class of nonlinear Schrödinger equations , 1985 .

[6]  INFINITE MATRIX REPRESENTATIONS OF CLASSES OF PSEUDO-DIFFERENTIAL OPERATORS , 2010 .

[7]  Erwan Faou,et al.  Geometric Numerical Integration and Schrodinger Equations , 2012 .

[8]  C. Sulem,et al.  Water waves over a rough bottom in the shallow water regime , 2011, 1110.5155.

[9]  Fernando Casas,et al.  Splitting and composition methods in the numerical integration of differential equations , 2008, 0812.0377.

[10]  C. Lubich,et al.  Error Bounds for Exponential Operator Splittings , 2000 .

[11]  D. Robert,et al.  On time dependent Schrödinger equations: Global well-posedness and growth of Sobolev norms , 2016, 1610.03359.

[12]  Infinite Matrix Representations of Isotropic Pseudodifferential Operators , 2011, 1101.4459.

[13]  C. Lubich From Quantum to Classical Molecular Dynamics: Reduced Models and Numerical Analysis , 2008 .

[14]  Nicolas Crouseilles,et al.  High-order Hamiltonian splitting for the Vlasov–Poisson equations , 2015, Numerische Mathematik.

[15]  D. Bambusi Reducibility of 1-d Schrödinger Equation with Time Quasiperiodic Unbounded Perturbations, II , 2017, Communications in Mathematical Physics.