Error analysis of full-discrete invariant energy quadratization schemes for the Cahn-Hilliard type equation

Abstract In this paper, we present the error analysis for a fully discrete scheme of the Cahn–Hilliard type equation, along with numerical verifications. The numerical schedule is developed by first transforming the Cahn–Hilliard type equation into an equivalent form using the invariant energy quadratization (IEQ) technique. Then the equivalent form is discretized by using the linear-implicit Crank–Nicolson method for the time variable and the Fourier pseudo-spectral method for the spatial variables. The resulted full-discrete scheme is linear and unconditionally energy stable, which makes it easy to implement. By constructing an appropriate interpolation equation, the uniform boundedness of the numerical solution is obtained theoretically. Then, we prove that the numerical solutions converge with the order O ( ( δ t ) 2 + h m ) , where δ t is the temporal step and h is the spatial step with m the regularity of the exact solution. Several numerical examples are presented to confirm the theoretical results and demonstrate the effectiveness of the presented linear scheme. The numerical strategies and analytical tools in this paper could be readily applied to study other phase field models or gradient flow problems.

[1]  Santiago Badia,et al.  Finite element approximation of nematic liquid crystal flows using a saddle-point structure , 2011, J. Comput. Phys..

[2]  Xiaofeng Yang,et al.  On Linear and Unconditionally Energy Stable Algorithms for Variable Mobility Cahn-Hilliard Type Equation with Logarithmic Flory-Huggins Potential , 2017, Communications in Computational Physics.

[3]  Lili Ju,et al.  Efficient linear schemes with unconditional energy stability for the phase field elastic bending energy model , 2017 .

[4]  Xiaofeng Yang,et al.  LCP droplet dispersions: a two-phase, diffuse-interface kinetic theory and global droplet defect predictions , 2012 .

[5]  Long-Qing Chen Phase-Field Models for Microstructure Evolution , 2002 .

[6]  Cheng Wang,et al.  An $H^2$ convergence of a second-order convex-splitting, finite difference scheme for the three-dimensional Cahn–Hilliard equation , 2016 .

[7]  D. J. Eyre Unconditionally Gradient Stable Time Marching the Cahn-Hilliard Equation , 1998 .

[8]  Qiang Du,et al.  Computational studies of coarsening rates for the Cahn-Hilliard equation with phase-dependent diffusion mobility , 2016, J. Comput. Phys..

[9]  Jie Shen,et al.  Convergence and Error Analysis for the Scalar Auxiliary Variable (SAV) Schemes to Gradient Flows , 2018, SIAM J. Numer. Anal..

[10]  Xiaofeng Yang,et al.  A novel linear second order unconditionally energy stable scheme for a hydrodynamic Q-tensor model of liquid crystals , 2017 .

[11]  Cheng Wang,et al.  Convergence analysis and error estimates for a second order accurate finite element method for the Cahn–Hilliard–Navier–Stokes system , 2016, Numerische Mathematik.

[12]  Xiaofeng Yang,et al.  Dynamics of Defect Motion in Nematic Liquid Crystal Flow: Modeling and Numerical Simulation , 2007 .

[13]  J. Lowengrub,et al.  Quasi–incompressible Cahn–Hilliard fluids and topological transitions , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[14]  Steven M. Wise,et al.  An Energy Stable and Convergent Finite-Difference Scheme for the Modified Phase Field Crystal Equation , 2011, SIAM J. Numer. Anal..

[15]  Jie Shen,et al.  Applications of semi-implicit Fourier-spectral method to phase field equations , 1998 .

[16]  Xiaofeng Yang,et al.  Decoupled energy stable schemes for phase-field vesicle membrane model , 2015, J. Comput. Phys..

[17]  Dong Li,et al.  On Second Order Semi-implicit Fourier Spectral Methods for 2D Cahn–Hilliard Equations , 2017, J. Sci. Comput..

[18]  Cheng Wang,et al.  Stable and efficient finite-difference nonlinear-multigrid schemes for the phase field crystal equation , 2009, J. Comput. Phys..

[19]  Jiang Yang,et al.  The scalar auxiliary variable (SAV) approach for gradient flows , 2018, J. Comput. Phys..

[20]  Wenqiang Feng,et al.  An energy stable fourth order finite difference scheme for the Cahn-Hilliard equation , 2017, J. Comput. Appl. Math..

[21]  Junseok Kim,et al.  CONSERVATIVE MULTIGRID METHODS FOR TERNARY CAHN-HILLIARD SYSTEMS ∗ , 2004 .

[22]  Yibao Li,et al.  An unconditionally energy-stable second-order time-accurate scheme for the Cahn-Hilliard equation on surfaces , 2017, Commun. Nonlinear Sci. Numer. Simul..

[23]  Xiaofeng Yang,et al.  Numerical approximations for a three-component Cahn–Hilliard phase-field model based on the invariant energy quadratization method , 2017 .

[24]  Jie Shen,et al.  Second-order Convex Splitting Schemes for Gradient Flows with Ehrlich-Schwoebel Type Energy: Application to Thin Film Epitaxy , 2012, SIAM J. Numer. Anal..

[25]  Xiaoming He,et al.  Fast, unconditionally energy stable large time stepping method for a new Allen-Cahn type square phase-field crystal model , 2019, Appl. Math. Lett..

[26]  Charles M. Elliott,et al.  The global dynamics of discrete semilinear parabolic equations , 1993 .

[27]  Francisco Guillén-González,et al.  On linear schemes for a Cahn-Hilliard diffuse interface model , 2013, J. Comput. Phys..

[28]  Tao Tang,et al.  Stability Analysis of Large Time-Stepping Methods for Epitaxial Growth Models , 2006, SIAM J. Numer. Anal..

[29]  Jia Zhao,et al.  Numerical approximations for the molecular beam epitaxial growth model based on the invariant energy quadratization method , 2017, J. Comput. Phys..

[30]  Zhonghua Qiao,et al.  A Third Order Exponential Time Differencing Numerical Scheme for No-Slope-Selection Epitaxial Thin Film Model with Energy Stability , 2019, Journal of Scientific Computing.

[31]  Cheng Wang,et al.  An Energy-Stable and Convergent Finite-Difference Scheme for the Phase Field Crystal Equation , 2009, SIAM J. Numer. Anal..

[32]  Suchuan Dong,et al.  A family of second-order energy-stable schemes for Cahn-Hilliard type equations , 2019, J. Comput. Phys..

[33]  Xiaoming He,et al.  Decoupled, Linear, and Energy Stable Finite Element Method for the Cahn-Hilliard-Navier-Stokes-Darcy Phase Field Model , 2018, SIAM J. Sci. Comput..

[34]  Zhonghua Qiao,et al.  An Adaptive Time-Stepping Strategy for the Cahn-Hilliard Equation , 2012 .

[35]  J. E. Hilliard,et al.  Free Energy of a Nonuniform System. I. Interfacial Free Energy , 1958 .

[36]  Qiang Du,et al.  Simulating the deformation of vesicle membranes under elastic bending energy in three dimensions , 2006, J. Comput. Phys..

[37]  Jie Shen,et al.  Coarsening kinetics from a variable-mobility Cahn-Hilliard equation: application of a semi-implicit Fourier spectral method. , 1999, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[38]  Zhonghua Qiao,et al.  Characterizing the Stabilization Size for Semi-Implicit Fourier-Spectral Method to Phase Field Equations , 2014, SIAM J. Numer. Anal..

[39]  Xiaofeng Yang,et al.  Numerical approximations of Allen-Cahn and Cahn-Hilliard equations , 2010 .

[40]  Xiaofeng Yang,et al.  Numerical approximations of the Cahn-Hilliard and Allen-Cahn Equations with general nonlinear potential using the Invariant Energy Quadratization approach , 2017, 1712.02760.

[41]  Jia Zhao,et al.  Energy-stable Runge-Kutta schemes for gradient flow models using the energy quadratization approach , 2019, Appl. Math. Lett..

[42]  Peter W Voorhees,et al.  A phase-field model for highly anisotropic interfacial energy , 2001 .

[43]  Xiaofeng Yang,et al.  Journal of Non-newtonian Fluid Mechanics Shear Cell Rupture of Nematic Liquid Crystal Droplets in Viscous Fluids , 2011 .