We develop and analyze a class of maximum bound preserving schemes for approximately solving Allen--Cahn equations. We apply a $k$th-order single-step scheme in time (where the nonlinear term is linearized by multi-step extrapolation), and a lumped mass finite element method in space with piecewise $r$th-order polynomials and Gauss--Lobatto quadrature. At each time level, a cut-off post-processing is proposed to eliminate extra values violating the maximum bound principle at the finite element nodal points. As a result, the numerical solution satisfies the maximum bound principle (at all nodal points), and the optimal error bound $O(\tau^k+h^{r+1})$ is theoretically proved for a certain class of schemes. These time stepping schemes under consideration includes algebraically stable collocation-type methods, which could be arbitrarily high-order in both space and time. Moreover, combining the cut-off strategy with the scalar auxiliary value (SAV) technique, we develop a class of energy-stable and maximum bound preserving schemes, which is arbitrarily high-order in time. Numerical results are provided to illustrate the accuracy of the proposed method.
翻译:我们为大约解决艾伦-卡恩方程式而制定并分析一组最大约束性保存计划,我们及时(在非线性术语通过多步外推法线性化的情况下)实施美元-全级单步单步计划,并在空间采用一个整块质量限制元素法,其中含有小元数的多式美元和高斯-洛巴托的二次曲线。在每一个时间层次上,都提议一个截断后处理,以消除在有限元素节点违反最大约束原则的额外值。因此,数字解决方案满足了最大约束原则(在所有节点),而最佳误差约束了美元(tauk+h ⁇ r+1})在理论上也证明了某种类型的计划。正在考虑的这些时间阶梯法包括代数稳定合型方法,这在空间和时间上都是任意的高顺序。此外,将断开战略与标准辅助值(SAV)技术结合起来,我们开发了一组能量可控性和最大约束性保存计划,这是任意的高档方法。