An efficient space-time operator-splitting method for high-dimensional vector-valued Allen–Cahn equations. Issue 9 (2nd September 2019)

• Record Type: Journal Article
• Authors: Sun, Yunxia; Xiao, Xufeng; Gao, Zhiming; Feng, Xinlong
• Is Part Of: International journal of numerical methods for heat & fluid flow. Volume 29:Issue 9(2019)
• Page Start: 3437
• Page End: 3453
• Publication Date: 2019-09-02
• Subjects: Finite element method -- Mass conservation -- Space-time operator-splitting method -- Stabilized semi-implicit scheme -- Vector-valued Allen–Cahn equations; Heat -- Transmission -- Mathematics -- Periodicals; Fluid dynamics -- Mathematics -- Periodicals; 536.2
• DOI: 10.1108/HFF-01-2019-0076
• Languages: English
• ISSNs: 0961-5539

Abstract

Abstract : Purpose: The purpose of this paper is to propose an efficient space-time operator-splitting method for the high-dimensional vector-valued Allen–Cahn (AC) equations. The key of the space-time operator-splitting is to devide the complex partial differential equations into simple heat equations and nolinear ordinary differential equations. Design/methodology/approach: Each component of high-dimensional heat equations is split into a series of one-dimensional heat equations in different spatial directions. The nonlinear ordinary differential equations are solved by a stabilized semi-implicit scheme to preserve the upper bound of the solution. The algorithm greatly reduces the computational complexity and storage requirement. Findings: The theoretical analyses of stability in terms of upper bound preservation and mass conservation are shown. The numerical results of phase separation, evolution of the total free energy and total mass conservation show the effectiveness and accuracy of the space-time operator-splitting method. Practical implications: Extensive 2D/3D numerical tests demonstrated the efficacy and accuracy of the proposed method. Originality/value: The space-time operator-splitting method reduces the complexity of the problem and reduces the storage space by turning the high-dimensional problem into a series of 1D problems. We give the theoretical analyses of upper bound preservation and mass conservation for the proposed method.