Resonances as a computational tool (2405.10572v1)
Abstract: A large toolbox of numerical schemes for dispersive equations has been established, based on different discretization techniques such as discretizing the variation-of-constants formula (e.g., exponential integrators) or splitting the full equation into a series of simpler subproblems (e.g., splitting methods). In many situations these classical schemes allow a precise and efficient approximation. This, however, drastically changes whenever non-smooth phenomena enter the scene such as for problems at low regularity and high oscillations. Classical schemes fail to capture the oscillatory nature of the solution, and this may lead to severe instabilities and loss of convergence. In this article we review a new class of resonance-based schemes. The key idea in the construction of the new schemes is to tackle and deeply embed the underlying nonlinear structure of resonances into the numerical discretization. As in the continuous case, these terms are central to structure preservation and offer the new schemes strong properties at low regularity.
- Low regularity integrators via decorated trees. preprint (2022) https://arxiv.org/abs/2202.01171.
- J. Armstrong-Goodall, Y. Bruned, Resonance based schemes for SPDEs. preprint (2023) https://arxiv.org/abs/2312.16690.
- J. Bourgain, Fourier transform restriction phenomena for certain lattice subsets and applications to nonlinear evolution equations. Part I: Schrödinger equations. Geom. Funct. Anal. 3:107–156 (1993)
- M. Gubinelli, Rough solutions for the periodic Korteweg-de Vries equation. Comm. Pure Appl. Anal. 11:709–733 (2012)
- L. I. Ignat, A splitting method for the nonlinear Schrödinger equation. J. Differential Equations 250:3022–3046 (2011)
- S. Jin, Schrödinger equation: Computation, Invited contribution to Springer “Encyclopedia of Applied and Computational Mathematics”, ed. by B. Engquist, pp. 1299-1301, 2015.
- J. D. Lawson, Generalized Runge–Kutta processes for stable systems with large Lipschitz constants. SIAM J. Numer. Anal. 4:372–380 (1967)
- C. Lubich, On splitting methods for Schrödinger–Poisson and cubic nonlinear Schrödinger equations. Math. Comp. 77:2141–2153 (2008)
- J.M. Sanz-Serna, Methods for the Numerical Solution of the Nonlinear Schrödinger Equation. Math. Comp. 43:21–27 (1984)
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