TY - JOUR
T1 - A Linear Adaptive Second-order Backward Differentiation Formulation Scheme for the Phase Field Crystal Equation
AU - Hou, Dianming
AU - Qiao, Zhonghua
N1 - Funding Information:
The work of Dianming Hou is supported by NSFC grant 12001248, the NSF of the Jiangsu Province grant BK20201020, the NSF of Universities in Jiangsu Province of China grant 20KJB110013 and the Hong Kong Polytechnic University grant 1‐W00D. Zhonghua Qiao's work is partially supported by the Hong Kong Research Grant Council RFS grant RFS2021‐5S03 and GRF grant 15302122, the Hong Kong Polytechnic University internal grant 4‐ZZLS, and the CAS AMSS‐PolyU Joint Laboratory of Applied Mathematics.
Publisher Copyright:
© 2023 Wiley Periodicals LLC.
PY - 2023/5
Y1 - 2023/5
N2 - 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 (Formula presented.) by setting the positive constant (Formula presented.) large enough such that (Formula presented.) The energy stability of the adaptive BDF2 scheme is established with a mild constraint on the adjacent time step radio (Formula presented.). Furthermore, a rigorous error estimate of the second order accuracy of (Formula presented.) is derived for the proposed scheme on the nonuniform mesh by using the uniform (Formula presented.) 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.
AB - 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 (Formula presented.) by setting the positive constant (Formula presented.) large enough such that (Formula presented.) The energy stability of the adaptive BDF2 scheme is established with a mild constraint on the adjacent time step radio (Formula presented.). Furthermore, a rigorous error estimate of the second order accuracy of (Formula presented.) is derived for the proposed scheme on the nonuniform mesh by using the uniform (Formula presented.) 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.
KW - convergence analysis
KW - linear adaptive BDF2 scheme
KW - phase field crystal equation
KW - scalar auxiliary variable approach
KW - unconditional energy stability
UR - http://www.scopus.com/inward/record.url?scp=85159690431&partnerID=8YFLogxK
U2 - 10.1002/num.23041
DO - 10.1002/num.23041
M3 - Journal article
AN - SCOPUS:85159690431
SN - 0749-159X
SP - 1
EP - 22
JO - Numerical Methods for Partial Differential Equations
JF - Numerical Methods for Partial Differential Equations
ER -