High-order multiderivative time integrators for hyperbolic conservation laws

TL;DR

This paper introduces explicit multistage multiderivative time integrators for hyperbolic conservation laws, offering advantages in accuracy, stability, and efficiency over traditional methods, with applications to DG and FD-WENO spatial discretizations.

Contribution

The paper develops a general framework for multistage multiderivative integrators applied to hyperbolic PDEs, demonstrating their effectiveness and potential for multidimensional problems.

Findings

Multiderivative integrators are competitive with strong stability preserving methods.

They enable higher accuracy and stability with fewer stages.

Applications to DG and FD-WENO methods show versatility.

Abstract

Multiderivative time integrators have a long history of development for ordinary differential equations, and yet to date, only a small subset of these methods have been explored as a tool for solving partial differential equations (PDEs). This large class of time integrators include all popular (multistage) Runge-Kutta as well as single-step (multiderivative) Taylor methods. (The latter are commonly referred to as Lax-Wendroff methods when applied to PDEs.) In this work, we offer explicit multistage multiderivative time integrators for hyperbolic conservation laws. Like Lax-Wendroff methods, multiderivative integrators permit the evaluation of higher derivatives of the unknown in order to decrease the memory footprint and communication overhead. Like traditional Runge-Kutta methods, multiderivative integrators admit the addition of extra stages, which introduce extra degrees of freedom that can be used to increase the order of accuracy or modify the region of absolute stability. We describe a general framework for how these methods can be applied to two separate spatial discretizations: the discontinuous Galerkin (DG) method and the finite difference essentially non-oscillatory (FD-WENO) method. The two proposed implementations are substantially different: for DG we leverage techniques that are closely related to generalized Riemann solvers; for FD-WENO we construct higher spatial derivatives with central differences. Among multiderivative time integrators, we argue that multistage two-derivative methods have the greatest potential for multidimensional applications, because they only require the flux function and its Jacobian, which is readily available. Numerical results indicate that multiderivative methods are indeed competitive with popular strong stability preserving time integrators.