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A linear adaptive second‐order backward differentiation formulation scheme for the phase field crystal equation

Dianming Hou, Zhonghua Qiao

2023Numerical Methods for Partial Differential Equations13 citationsDOI

Abstract

Abstract In this article, we present and analyze a linear fully discrete second order scheme with variable time steps for the phase field crystal equation. More precisely, we construct a linear adaptive time stepping scheme based on the second order backward differentiation formulation (BDF2) and use the Fourier spectral method for the spatial discretization. The scalar auxiliary variable approach is employed to deal with the nonlinear term, in which we only adopt a first order method to approximate the auxiliary variable. This treatment is extremely important in the derivation of the unconditional energy stability of the proposed adaptive BDF2 scheme. However, we find for the first time that this strategy will not affect the second order accuracy of the unknown phase function by setting the positive constant large enough such that The energy stability of the adaptive BDF2 scheme is established with a mild constraint on the adjacent time step radio . Furthermore, a rigorous error estimate of the second order accuracy of is derived for the proposed scheme on the nonuniform mesh by using the uniform bound of the numerical solutions. Finally, some numerical experiments are carried out to validate the theoretical results and the efficiency of the proposed scheme combined with the time adaptive strategy.

Topics & Concepts

MathematicsDiscretizationScalar (mathematics)Nonlinear systemVariable (mathematics)Scalar fieldMathematical optimizationConstant (computer programming)Stability (learning theory)Field (mathematics)Applied mathematicsMathematical analysisComputer scienceGeometryMachine learningPhysicsPure mathematicsQuantum mechanicsMathematical physicsProgramming languageSolidification and crystal growth phenomenaAluminum Alloy Microstructure PropertiesDifferential Equations and Numerical Methods