Original articles
HOC–ADI schemes for two-dimensional Ginzburg–Landau equation in superconductivity

https://doi.org/10.1016/j.matcom.2021.05.031Get rights and content

Abstract

In this paper, we apply the high-order compact scheme coupled with alternating direction implicit (HOC–ADI) method to solve the two-dimensional Ginzburg–Landau (2D GL) equation. Five HOC–ADI schemes with second order accuracy in time and fourth order in space are proposed for 2D GL equation. Scheme I and Scheme II are both nonlinear, which need nonlinear iteration.To overcome this shortcoming, Scheme III and Scheme IV are proposed in order to avoid nonlinear iteration. With the three-level ADI scheme and the method of extrapolation, we obtain a linearized scheme V. Some numerical experiments are shown to testify and compare the superiority of the new numerical schemes.

Introduction

Ginzburg–Landau (GL) equation was proposed in the 1950s by V.L. Ginzburg and L. Landau on the basis of second order Landau phase transformation theory. This model is used to describe superconductivity phenomena. In this paper, we are interested in the initial–boundary value problem of the following type [5] utc2ux2+2uy2+d|u|2uγu=0,(x,y,t)Ω×(0,T],u(x,y,0)=u0x,y,(x,y)Ω̄,u(x,y,t)=0,(x,y)Ω,t[0,T],where c=ν+iα, d=λ+iβ are complex parameters, i=1, Ω=xL,xR×yL,yR, and Ω¯ is the closure of Ω, u(x,y,t) is an unknown complex function, ν>0, λ>0, α, β are given real parameters. u0(x,y) is a given complex function, γ is the coefficient of the linear evolution term. Eq. (1) is called 2D GL equation.

This model is used to describe the dynamics of electromagnetic behavior of a superconductor in an external magnetic field. It is also employed to study the phase transitions in superconductors near their critical temperature. Moreover, the GL theory is irreplaceable in investigating the dynamics of Abrikosov vortices in type II superconductors.

After some direct computing, we can derive the following estimate about the solution of the 2D GL equation (1):

Proposition 1

The solution ux,y,t for Eq. (1) is bounded, that is, there exists a constant C, such that the mass u(,t)2 of the system satisfies u(,t)2=Ω|u(x,y,t)|2dxdyC.In more detail, we have

  • When γ<0, it has u(,t)2e2γtu02.This indicates that the mass exponentially decays to zero with the exponent rate 2γ as γ<0.

  • When γ>0, we have u(,t)2eγTu02.This suggests that the mass is bounded in a finite time interval [0,T].

This proposition demonstrates that the initial–boundary valued problem (1) is L2-stable. For more details about this estimate, we refer to [8] and references therein.

In view of the importance of GL equation in mathematics and physics, many physicists and mathematicians have studied this model, and obtained a lot of theoretical results [1], [12], [15]. In terms of numerical methods, Du et al. studied the model from pure mathematics and numerical aspect by finite elements method [4]. Lord studied its attractors and finite difference method [14]. López considered the problem of computation and deformation of group orbits of solutions of the complex GL equation with cubic nonlinearity in 1+1 space–time dimension invariant under the action of the three-dimensional Lie group of symmetries [13]. Shokri proposed a meshless method by radial basis functions [19] and a predictor-correction HOC–ADI scheme [18]. Wang & Huang constructed an implicit midpoint scheme for fractional GL equation [21]. Wang & Guo proposed some finite difference schemes for 2D GL equations [20], and proved that these schemes are of second order convergence rate in the l2 norm. A linearized difference scheme has been proposed by Xu & Chang which can be used to solve the GL equation under periodic boundary conditions [23]. Zhang & Yan proposed a Lattice Boltzmann method for 3D GL equation [24]. Due to the limitations of computer performance and other aspects, the research on numerical methods of 2D problems is relatively rare. Kong et al. constructed some efficient numerical schemes [8], [9], and also analyzed the stability and convergence of the schemes. However, when such a scheme is used to solve a multi-dimensional problem, it requires solving a nonlinear system of equations with huge degree. When the considered spatial domain is large or the mesh is densely divided, the computing efficiency is not ideal.

In this paper, we are devoting to constructing some high-order compact and alternative direction implicit (HOC–ADI) schemes for the periodic initial–boundary value problem of the 2D GL equation (1). The HOC–ADI schemes are obtained by combining the HOC scheme [10], [11], [22] and ADI technique [2], [3], [6], [7], [16], [17]. It is discretized with the HOC method in space and the ADI method in time. This method takes full advantages of the ADI method and HOC scheme. By reducing the order of the algebraic equations, it saves storage space and calculation time. At the same time, it is efficient and unconditionally stable for solving multidimensional problems.

The rest of this paper is organized as follows. Section 2 reviews the basic idea about HOC method. Five difference schemes are presented in Section 3 which share the advantages of HOC method and ADI technique. Section 4 provides some numerical results to validate the efficiency and superiority by comparisons. Some conclusions are given in the final section to end the paper.

Section snippets

Higher order compact scheme

To develop some finite difference schemes for the 2D GL equation, we define a partition of xL,xR×yL,yR×0,T by the cubes xj,xj+1×yk,yk+1×tn,tn+1 with xj=xL+jhx, yk=yL+khy, tn=nτ, j=0,1,2,,M1; k=0,1,2,,M2; t=0,1,2,,N, where hx=xRxLM1,hy=yRyLM2. Denote uj,kn=u(xj,yk,tn) and Uj,knu(xj,yk,tn) be the exact solution of the considered differential equation and the corresponding approximate solution, respectively. Furthermore, for convenience in retrospect the high order compact methods, we use

The HOC-ADI schemes

In this section, it will develop five efficient numerical schemes for 2D GL equation (1) by combining HOC method and ADI technique. The first two of them are completely implicit and nonlinear iteration needed in every marching step. Others are semi-explicit which shun nonlinear iteration successfully.

Numerical experiments

In this section, we are ready to present some numerical examples to illustrate the new schemes.

Conclusions

Some very efficient numerical schemes are shown for two-dimensional Ginzburg–Landau equation. To get the numerical scheme and improve the computational efficiency, we use high order compact method to make the scheme more accurate with fewer nodes. Furthermore, to reduce the dimension, we adopt alternative direction implicit method which greatly diminishes the scale of the resulting algebraic equations. Extrapolating method is used to avoid nonlinear iteration. After some numerical examples, we

Acknowledgments

This work is supported by the National Natural Science Foundation of China (No. 11961036), Education Department of Jiangxi Province (Nos. GJJ200310).

References (24)

  • DouglasJ. et al.

    A general formulation of alternating direction methods. Part I. Parabolic and hyperbolic problems

    Numer. Math.

    (1964)
  • DuQ. et al.

    Analysis and approximation of the Ginzburg-Landau model of superconductivity

    SIAM Rev.

    (1992)
  • Cited by (3)

    View full text