# Analysis and Computation of a Discrete KdV-Burgers Type Equation with   Fast Dispersion and Slow Diffusion

**Authors:** Zvi Artstein, C. William Gear, Ioannis G. Kevrekidis, Marshall Slemrod, and Edriss S. Titi

arXiv: 0908.2752 · 2009-08-20

## TL;DR

This paper investigates the long-term behavior of a discretized KdV-Burgers type equation with fast dispersion and slow diffusion, using averaging methods based on invariants of the fast system to analyze its dynamics.

## Contribution

It introduces a novel approach to analyze the limit behavior of a fast-slow discretized PDE system via invariants and averaging, addressing the challenge of non-trivial fast-slow variable separation.

## Key findings

- Computed characteristic features of the fast motion.
- Demonstrated the effectiveness of averaging based on invariants.
- Provided insights into the long-term dynamics of the discretized system.

## Abstract

The long time behavior of the dynamics of a fast-slow system of ordinary differential equations is examined. The system is derived from a spatial discretization of a Korteweg-de Vries-Burgers type equation, with fast dispersion and slow diffusion. The discretization is based on a model developed by Goodman and Lax, that is composed of a fast system drifted by a slow forcing term. A natural split to fast and slow state variables is, however, not available. Our approach views the limit behavior as an invariant measure of the fast motion drifted by the slow component, where the known constants of motion of the fast system are employed as slowly evolving observables; averaging equations for the latter lead to computation of characteristic features of the motion. Such computations are presented in the paper.

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/0908.2752/full.md

## Figures

11 figures with captions in the complete paper: https://tomesphere.com/paper/0908.2752/full.md

## References

17 references — full list in the complete paper: https://tomesphere.com/paper/0908.2752/full.md

---
Source: https://tomesphere.com/paper/0908.2752