An explicit exponential time integrator based on Faber polynomials and its application to seismic wave modelling
Fernando V. Ravelo, Pedro S. Peixoto, Martin Schreiber

TL;DR
This paper introduces a Faber polynomial-based exponential integrator tailored for seismic wave modeling, demonstrating its theoretical advantages and practical efficiency in handling non-symmetric operators with absorbing boundaries.
Contribution
It generalizes exponential methods using Faber polynomials for better handling of non-symmetric operators in seismic simulations, with new error bounds and stability analysis.
Findings
The method achieves stable and accurate seismic wave simulations.
Large time steps are feasible with high computational efficiency.
The approach outperforms traditional methods in convergence and stability.
Abstract
Exponential time integrators have been applied successfully in several physics-related differential equations. However, their application in hyperbolic systems with absorbing boundaries, like the ones arising in seismic imaging, still lacks theoretical and experimental investigations. The present work conducts an in-depth study of exponential integration using Faber polynomials, consisting of a generalization of a popular exponential method that uses Chebyshev polynomials. This allows solving non-symmetric operators that emerge from classic seismic wave propagation problems with absorbing boundaries. Theoretical as well as numerical results are presented for Faber approximations. One of the theoretical contributions is the proposal of a sharp bound for the approximation error of the exponential of a normal matrix. We also show the practical importance of determining an optimal ellipse…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNumerical methods for differential equations · Nonlinear Waves and Solitons · Electromagnetic Simulation and Numerical Methods
