Numerical solutions of the Allen–Cahn equation with the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"><mml:mi>p</mml:mi></mml:math>-Laplacian

艾伦-卡恩方程 拉普拉斯算子 数学 离散化 特征向量 边界(拓扑) 拉普拉斯矩阵 能量(信号处理) 数值分析 背景(考古学) 数学分析 应用数学 物理 量子力学 统计 古生物学 生物
作者
Dongsun Lee,Chaeyoung Lee
出处
期刊:Applied Mathematics and Computation [Elsevier BV]
卷期号:434: 127435-127435
标识
DOI:10.1016/j.amc.2022.127435
摘要

• The dynamics of the p -Laplacian Allen-Cahn equation is studied numerically. • Boundedness of the solutions and energy decay properties are analyzed. • We numerically verify the basic properties of the Allen-Cahn equation are preserved. • Comparison between classical, fractional, and p -Laplacian operators is presented. • Eigenvectors and eigenvalues of the discrete p -Laplacian are investigated. We investigate the behavior of the numerical solutions of the p -Laplacian Allen–Cahn equation. Because of the p -Laplacian’s challenging numerical properties, many different methods have been proposed for the discretized p -Laplacian. In this paper, we provide and analyze a numerical scheme for the boundedness of solutions and energy decay properties. For a comprehensive understanding of the effect of p -Laplacian and its relationship in the context of phase-field modeling, we compare the temporal evolution and compute the eigenpairs of the classical, fractional, and p -Laplacian in the Allen–Cahn equations. As for the p -Laplacian Allen–Cahn equation, we characterize different morphological changes of numerical solutions under various numerical tests such as phase separation, equilibrium profile, boundedness of solution, energy decay, traveling wave solution, geometric motions, and comparison of the Allen–Cahn equations with the three different Laplacians. Our results imply that the interface profile along the two-phase boundary lines changes more steeply than classical one as the p order decreases, therefore, the p -Laplacian Allen–Cahn equation can be applied for the description of phase interface where it is important to maintain sharply.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
稳重的傲芙完成签到,获得积分10
刚刚
ccL发布了新的文献求助10
刚刚
姚学宇发布了新的文献求助10
1秒前
1秒前
可爱小张发布了新的文献求助10
2秒前
5秒前
6秒前
35号发光体完成签到,获得积分10
6秒前
小绵羊发布了新的文献求助10
6秒前
LXQQ发布了新的文献求助30
8秒前
shugefuhe发布了新的文献求助10
9秒前
9秒前
10秒前
李爱国应助包亚鑫采纳,获得10
10秒前
whm应助浮浮世世采纳,获得10
10秒前
身强力壮运气好完成签到,获得积分10
10秒前
11秒前
12秒前
虚心洪纲完成签到 ,获得积分10
12秒前
12秒前
molihuakai应助yiyi采纳,获得10
13秒前
上官小怡发布了新的文献求助10
14秒前
15秒前
15秒前
15秒前
Vortex完成签到,获得积分20
16秒前
16秒前
hanshishengye完成签到 ,获得积分10
17秒前
kc发布了新的文献求助10
18秒前
18秒前
18秒前
上官小怡发布了新的文献求助10
18秒前
nkqxxy发布了新的文献求助10
19秒前
19秒前
20秒前
20秒前
20秒前
20秒前
21秒前
迷人以山完成签到 ,获得积分10
21秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6361310
求助须知:如何正确求助?哪些是违规求助? 8175154
关于积分的说明 17221069
捐赠科研通 5416188
什么是DOI,文献DOI怎么找? 2866187
邀请新用户注册赠送积分活动 1843480
关于科研通互助平台的介绍 1691442