English

Runge-Kutta-Gegenbauer explicit methods for advection-diffusion problems

Numerical Analysis 2019-04-22 v2 Computational Physics

Abstract

In this paper, Runge-Kutta-Gegenbauer (RKG) stability polynomials of arbitrarily high order of accuracy are introduced in closed form. The stability domain of RKG polynomials extends in the the real direction with the square of polynomial degree, and in the imaginary direction as an increasing function of Gegenbauer parameter. Consequently, the polynomials are naturally suited to the construction of high order stabilized Runge-Kutta (SRK) explicit methods for systems of PDEs of mixed hyperbolic-parabolic type. We present SRK methods composed of LL ordered forward Euler stages, with complex-valued stepsizes derived from the roots of RKG stability polynomials of degree LL. Internal stability is maintained at large stage number through an ordering algorithm which limits internal amplification factors to 10L210 L^2. Test results for mildly stiff nonlinear advection-diffusion-reaction problems with moderate (1\lesssim 1) mesh P\'eclet numbers are provided at second, fourth, and sixth orders, with nonlinear reaction terms treated by complex splitting techniques above second order.

Keywords

Cite

@article{arxiv.1712.03971,
  title  = {Runge-Kutta-Gegenbauer explicit methods for advection-diffusion problems},
  author = {Stephen O'Sullivan},
  journal= {arXiv preprint arXiv:1712.03971},
  year   = {2019}
}

Comments

20 pages, 7 figures, 3 tables

R2 v1 2026-06-22T23:14:42.918Z