High-order adaptive multiresolution wavelet upwind schemes for hyperbolic conservation laws

TL;DR

This paper introduces high-order adaptive multiresolution wavelet upwind schemes for hyperbolic conservation laws, combining wavelet bases, adaptive algorithms, and reconstruction methods to accurately capture shocks and steep gradients.

Contribution

It develops a novel framework integrating wavelet bases, adaptive multiresolution analysis, and a Lebesgue-based reconstruction to improve high-order accuracy in hyperbolic PDE solutions.

Findings

Accurate capture of moving shock waves.

Enhanced efficiency in 1D hyperbolic problem simulations.

Suppression of Gibbs phenomenon in numerical solutions.

Abstract

A system of high-order adaptive multiresolution wavelet collocation upwind schemes are developed for the solution of hyperbolic conservation laws. A couple of asymmetrical wavelet bases with interpolation property are built to realize the upwind property, and address the nonlinearity in the hyperbolic problems. An adaptive algorithm based on multiresolution analysis in wavelet theory is designed to capture moving shock waves and distinguish new localized steep regions. An integration average reconstruction method is proposed based on the Lebesgue differentiation theorem to suppress the Gibbs phenomenon. All these numerical techniques enable the wavelet collocation upwind scheme to provide a general framework for devising satisfactory adaptive wavelet upwind methods with high-order accuracy. Several benchmark tests for 1D hyperbolic problems are carried out to verify the accuracy and efficiency of the present wavelet schemes.