A kernel based high order “explicit” unconditionally stable scheme for time dependent Hamilton–Jacobi equations

Andrew Christlieb, Wei Guo, Yan Jiang

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

In this paper, a class of high order numerical schemes is proposed for solving Hamilton–Jacobi (H–J) equations. This work is regarded as an extension of our previous work for nonlinear degenerate parabolic equations, see Christlieb et al. [14], which relies on a special kernel-based formulation of the solutions and successive convolution. When applied to the H–J equations, the newly proposed scheme attains genuinely high order accuracy in both space and time, and more importantly, it is unconditionally stable, hence allowing for much larger time step evolution compared with other explicit schemes and saving computational cost. A high order weighted essentially non-oscillatory methodology and a novel nonlinear filter are further incorporated to capture the correct viscosity solution. Furthermore, by coupling the recently proposed inverse Lax–Wendroff boundary treatment technique, this method is very flexible in handing complex geometry as well as general boundary conditions. We perform numerical experiments on a collection of numerical examples, including H–J equations with linear, nonlinear, convex or non-convex Hamiltonians. The efficacy and efficiency of the proposed scheme in approximating the viscosity solution of general H–J equations is verified.

Original languageEnglish
Pages (from-to)214-236
Number of pages23
JournalJournal of Computational Physics
Volume379
DOIs
StatePublished - Feb 15 2019

Keywords

  • Hamilton–Jacobi equation
  • High order accuracy
  • Kernel based scheme
  • Unconditionally stable
  • Viscosity solution
  • Weighted essentially non-oscillatory methodology

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