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作 者:LU JianFang SHU Chi-Wang ZHANG MengPing
机构地区:[1]School of Mathematical Sciences, University of Science and Technology of China [2]Division of Applied Mathematics, Brown University,Providence, RI 02912, USA
出 处:《Science China Mathematics》2013年第12期2645-2676,共32页中国科学:数学(英文版)
基 金:supported by the University of Science and Technology of China Special Grant for Postgraduate Research;Innovation and Practice;the Chinese Academy of Science Special Grant for Postgraduate Research;Innovation and Practice;Department of Energy of USA(Grant No.DE-FG02-08ER25863);National Science Foundation of USA(Grant No.DMS-1112700);National Natural Science Foundation of China(Grant Nos.11071234;91130016 and 91024025)
摘 要:In this paper,we analyze the explicit Runge-Kutta discontinuous Galerkin(RKDG)methods for the semilinear hyperbolic system of a correlated random walk model describing movement of animals and cells in biology.The RKDG methods use a third order explicit total-variation-diminishing Runge-Kutta(TVDRK3)time discretization and upwinding numerical fluxes.By using the energy method,under a standard CourantFriedrichs-Lewy(CFL)condition,we obtain L2stability for general solutions and a priori error estimates when the solutions are smooth enough.The theoretical results are proved for piecewise polynomials with any degree k 1.Finally,since the solutions to this system are non-negative,we discuss a positivity-preserving limiter to preserve positivity without compromising accuracy.Numerical results are provided to demonstrate these RKDG methods.In this paper, we analyze the explicit Runge-Kutta discontinuous Galerkin (RKDG) methods for the semilinear hyperbolic system of a correlated random walk model describing movement of animals and cells in biology. The RKDG methods use a third order explicit total-variation-diminishing Runge-Kutta (TVDRK3) time discretization and upwinding numerical fluxes. By using the energy method, under a standard Courant- Friedrichs-Lewy (CFL) condition, we obtain L2 stability for general solutions and a priori error estimates when the solutions are smooth enough. The theoretical results are proved for piecewise polynomials with any degree k≥ 1. Finally, since the solutions to this system are non-negative, we discuss a positivity-preserving limiter to preserve positivity without compromising accuracy. Numerical results are provided to demonstrate these RKDG methods.
关 键 词:discontinuous Galerkin method explicit Runge-Kutta method stability error estimates corre-lated random walk positivity-preserving
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