Hamiltonian interpolation of splitting approximations for nonlinear PDEs
Erwan Faou (IRMAR, Inria - Irmar), Benoit Grebert (LMJL)

TL;DR
This paper develops a backward error analysis for splitting methods applied to semi-linear Hamiltonian PDEs, showing that the numerical solution closely follows a modified Hamiltonian flow over long times under certain conditions.
Contribution
It introduces a modified Hamiltonian framework for splitting methods on nonlinear PDEs, establishing long-time accuracy and stability results under non-resonance conditions.
Findings
Numerical flow remains close to the exact flow over exponentially long times.
High-order modified splitting schemes satisfy the non-resonance condition.
Standard splitting schemes are accurate over long times under CFL conditions.
Abstract
We consider a wide class of semi linear Hamiltonian partial differential equa- tions and their approximation by time splitting methods. We assume that the nonlinearity is polynomial, and that the numerical tra jectory remains at least uni- formly integrable with respect to an eigenbasis of the linear operator (typically the Fourier basis). We show the existence of a modified interpolated Hamiltonian equation whose exact solution coincides with the discrete flow at each time step over a long time depending on a non resonance condition satisfied by the stepsize. We introduce a class of modified splitting schemes fulfilling this condition at a high order and prove for them that the numerical flow and the continuous flow remain close over exponentially long time with respect to the step size. For stan- dard splitting or implicit-explicit scheme, such a backward error analysis result holds…
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Taxonomy
TopicsNumerical methods for differential equations · Electromagnetic Simulation and Numerical Methods · Advanced Numerical Methods in Computational Mathematics
