Litcius/Paper detail

A New Stable, Explicit, Third‐Order Method for Diffusion‐Type Problems

Endre Kovács, Ádám Nagy, Mahmoud Saleh

2022Advanced Theory and Simulations15 citationsDOI

Abstract

Abstract This paper reports on a novel explicit numerical method for the spatially discretized diffusion or heat equation. After discretizing the space variables as in conventional finite difference methods, this method does not use a finite difference approximation for the time derivatives, it instead combines constant‐neighbor and linear‐neighbor approximations, which decouple the ordinary differential equations, thus they can be solved analytically. In the obtained three‐stage method, the time step size appears in exponential form with negative coefficients in the final expression. This property guarantees unconditional stability, as it is shown using von Neumann stability analysis. It is also proved that the convergence of the method is third order in the time step size. After verification, by solving Fisher's and Huxley's equations, it is demonstrated that it works for nonlinear equations as well. The new algorithm is tested against widely used numerical solvers for cases where the media is strongly inhomogeneous. According to the results, the new method is significantly more effective than the traditional explicit or implicit methods, especially for extremely large stiff systems. It is believed that this new method is unique in the sense that it is the first unconditionally stable explicit method with third‐order convergence.

Topics & Concepts

DiscretizationMathematicsConvergence (economics)Explicit and implicit methodsNonlinear systemStability (learning theory)Ordinary differential equationApplied mathematicsFinite differenceBackward differentiation formulaFisher equationNumerical analysisFinite difference methodExponential functionVon Neumann stability analysisSpace (punctuation)Differential equationNumerical methods for ordinary differential equationsOrder of accuracyMathematical analysisNumerical stabilityComputer scienceDifferential algebraic equationPhysicsEconomicsEconomic growthMonetary economicsInterest rateOperating systemReal interest rateMachine learningQuantum mechanicsDifferential Equations and Numerical MethodsFractional Differential Equations SolutionsNumerical methods for differential equations