# A pseudo-spectral splitting method for linear dispersive problems with   transparent boundary conditions

**Authors:** Lukas Einkemmer, Alexander Ostermann, Mirko Residori

arXiv: 1904.10751 · 2021-06-09

## TL;DR

This paper introduces a pseudo-spectral splitting method for linear dispersive equations with variable coefficients on unbounded domains, effectively implementing transparent boundary conditions to improve computational efficiency and accuracy.

## Contribution

It develops a novel spectral splitting scheme that handles non-homogeneous transparent boundary conditions for dispersive problems, reducing computational cost while maintaining accuracy.

## Key findings

- Efficient spectral discretization reduces grid points needed.
- Implicit treatment of dispersive terms enhances stability.
- Numerical simulations validate the scheme's effectiveness.

## Abstract

The goal of the present work is to solve a linear dispersive equation with variable coefficient advection on an unbounded domain. In this setting, transparent boundary conditions are vital to allow waves to leave (or even re-enter) the, necessarily finite, computational domain. To obtain an efficient numerical scheme we discretize space using a spectral method. This allows us to drastically reduce the number of grid points required for a given accuracy. Applying a fully implicit time integrator, however, would require us to invert full matrices. This is addressed by performing an operator splitting scheme and only treating the third order differential operator, stemming from the dispersive part, implicitly; this approach can also be interpreted as an implicit-explicit scheme. However, the fact that the transparent boundary conditions are non-homogeneous and depend implicitly on the numerical solution presents a significant obstacle for the splitting/pseudo-spectral approach investigated here. We show how to overcome these difficulties and demonstrate the proposed numerical scheme by performing a number of numerical simulations.

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/1904.10751/full.md

## Figures

23 figures with captions in the complete paper: https://tomesphere.com/paper/1904.10751/full.md

## References

21 references — full list in the complete paper: https://tomesphere.com/paper/1904.10751/full.md

---
Source: https://tomesphere.com/paper/1904.10751