用有限差分法求解恶性侵袭模型

IF 2 3区 数学 Q1 MATHEMATICS
A. Appadu, Gysbert Nicolaas de Waal
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引用次数: 0

摘要

摘要本文采用一种标准和四种非标准有限差分方法求解交叉扩散恶性侵袭模型。该模型由一个非线性耦合偏微分方程组组成,该方程组受特定的初始和边界条件的约束,目前还不知道该问题的精确解。求解一组非线性耦合偏微分方程的经典有限差分格式在理论上很难获得其稳定域,这是这类方法在本工作中面临的挑战之一。从Chapwanya等人的研究中考虑了三种非标准方法,简称为NSFD1、NSFD2和NSFD3,这些方法是通过使用更通用的函数来代替离散导数的分母和非局部项的非局部近似来构建的。结果表明,NSFD1在求解经典反应扩散方程时保持了正性,而在求解偏微分方程的交叉扩散系统时却没有继承这一性质。NSFD2和NSFD3是通过对NSFD1进行适当的修改而获得的。当函数关系[ψ。首先,我们证明了NSFD2和NSFD3是不一致的方法。其次,我们试图修改NSFD2以使其一致,但没有成功。第三,我们扩展了NSFD3,使其变得一致,并且仍然保持阳性。我们将NSFD3的扩展版本表示为NSFD5。最后,我们计算了NSFD5的数值收敛速度,并表明它接近理论值。NSFD5在步长的某些条件下是一致的,并且是无条件的正性保留。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Numerical solution of a malignant invasion model using some finite difference methods
Abstract In this article, one standard and four nonstandard finite difference methods are used to solve a cross-diffusion malignant invasion model. The model consists of a system of nonlinear coupled partial differential equations (PDEs) subject to specified initial and boundary conditions, and no exact solution is known for this problem. It is difficult to obtain theoretically the stability region of the classical finite difference scheme to solve the set of nonlinear coupled PDEs, this is one of the challenges of this class of method in this work. Three nonstandard methods abbreviated as NSFD1, NSFD2, and NSFD3 are considered from the study of Chapwanya et al., and these methods have been constructed by the use of a more general function replacing the denominator of the discrete derivative and nonlocal approximations of nonlocal terms. It is shown that NSFD1, which preserves positivity when used to solve classical reaction-diffusion equations, does not inherit this property when used for the cross-diffusion system of PDEs. NSFD2 and NSFD3 are obtained by appropriate modifications of NSFD1. NSFD2 is positivity-preserving when the functional relationship [ ψ ( h ) ] 2 = 2 ϕ ( k ) {\left[\psi \left(h)]}^{2}=2\phi \left(k) holds, while NSFD3 is unconditionally dynamically consistent with respect to positivity. First, we show that NSFD2 and NSFD3 are not consistent methods. Second, we tried to modify NSFD2 in order to make it consistent but we were not successful. Third, we extend NSFD3 so that it becomes consistent and still preserves positivity. We denote the extended version of NSFD3 as NSFD5. Finally, we compute the numerical rate of convergence in time for NSFD5 and show that it is close to the theoretical value. NSFD5 is consistent under certain conditions on the step sizes and is unconditionally positivity-preserving.
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来源期刊
CiteScore
2.40
自引率
5.00%
发文量
37
审稿时长
35 weeks
期刊介绍: Demonstratio Mathematica publishes original and significant research on topics related to functional analysis and approximation theory. Please note that submissions related to other areas of mathematical research will no longer be accepted by the journal. The potential topics include (but are not limited to): -Approximation theory and iteration methods- Fixed point theory and methods of computing fixed points- Functional, ordinary and partial differential equations- Nonsmooth analysis, variational analysis and convex analysis- Optimization theory, variational inequalities and complementarity problems- For more detailed list of the potential topics please refer to Instruction for Authors. The journal considers submissions of different types of articles. "Research Articles" are focused on fundamental theoretical aspects, as well as on significant applications in science, engineering etc. “Rapid Communications” are intended to present information of exceptional novelty and exciting results of significant interest to the readers. “Review articles” and “Commentaries”, which present the existing literature on the specific topic from new perspectives, are welcome as well.
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