Numerical Simulation of Pattern Formation on Surfaces Using an Efficient Linear Second-Order Method

We present an efficient linear second-order method for a Swift−Hohenberg (SH) type of a partial differential equation having quadratic-cubic nonlinearity on surfaces to simulate pattern formation on surfaces numerically. The equation is symmetric under a change of sign of the density field...

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Main Author: Hyun Geun Lee
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/11/8/1010
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spelling doaj-a123bd3060434a3d8dbfeda7a936ca912020-11-25T01:55:47ZengMDPI AGSymmetry2073-89942019-08-01118101010.3390/sym11081010sym11081010Numerical Simulation of Pattern Formation on Surfaces Using an Efficient Linear Second-Order MethodHyun Geun Lee0Department of Mathematics, Kwangwoon University, Seoul 01897, KoreaWe present an efficient linear second-order method for a Swift−Hohenberg (SH) type of a partial differential equation having quadratic-cubic nonlinearity on surfaces to simulate pattern formation on surfaces numerically. The equation is symmetric under a change of sign of the density field if there is no quadratic nonlinearity. We introduce a narrow band neighborhood of a surface and extend the equation on the surface to the narrow band domain. By applying a pseudo-Neumann boundary condition through the closest point, the Laplace−Beltrami operator can be replaced by the standard Laplacian operator. The equation on the narrow band domain is split into one linear and two nonlinear subequations, where the nonlinear subequations are independent of spatial derivatives and thus are ordinary differential equations and have closed-form solutions. Therefore, we only solve the linear subequation on the narrow band domain using the Crank−Nicolson method. Numerical experiments on various surfaces are given verifying the accuracy and efficiency of the proposed method.https://www.mdpi.com/2073-8994/11/8/1010Swift–Hohenberg type of equationsurfacesnarrow band domainclosest point methodoperator splitting method
collection DOAJ
language English
format Article
sources DOAJ
author Hyun Geun Lee
spellingShingle Hyun Geun Lee
Numerical Simulation of Pattern Formation on Surfaces Using an Efficient Linear Second-Order Method
Symmetry
Swift–Hohenberg type of equation
surfaces
narrow band domain
closest point method
operator splitting method
author_facet Hyun Geun Lee
author_sort Hyun Geun Lee
title Numerical Simulation of Pattern Formation on Surfaces Using an Efficient Linear Second-Order Method
title_short Numerical Simulation of Pattern Formation on Surfaces Using an Efficient Linear Second-Order Method
title_full Numerical Simulation of Pattern Formation on Surfaces Using an Efficient Linear Second-Order Method
title_fullStr Numerical Simulation of Pattern Formation on Surfaces Using an Efficient Linear Second-Order Method
title_full_unstemmed Numerical Simulation of Pattern Formation on Surfaces Using an Efficient Linear Second-Order Method
title_sort numerical simulation of pattern formation on surfaces using an efficient linear second-order method
publisher MDPI AG
series Symmetry
issn 2073-8994
publishDate 2019-08-01
description We present an efficient linear second-order method for a Swift−Hohenberg (SH) type of a partial differential equation having quadratic-cubic nonlinearity on surfaces to simulate pattern formation on surfaces numerically. The equation is symmetric under a change of sign of the density field if there is no quadratic nonlinearity. We introduce a narrow band neighborhood of a surface and extend the equation on the surface to the narrow band domain. By applying a pseudo-Neumann boundary condition through the closest point, the Laplace−Beltrami operator can be replaced by the standard Laplacian operator. The equation on the narrow band domain is split into one linear and two nonlinear subequations, where the nonlinear subequations are independent of spatial derivatives and thus are ordinary differential equations and have closed-form solutions. Therefore, we only solve the linear subequation on the narrow band domain using the Crank−Nicolson method. Numerical experiments on various surfaces are given verifying the accuracy and efficiency of the proposed method.
topic Swift–Hohenberg type of equation
surfaces
narrow band domain
closest point method
operator splitting method
url https://www.mdpi.com/2073-8994/11/8/1010
work_keys_str_mv AT hyungeunlee numericalsimulationofpatternformationonsurfacesusinganefficientlinearsecondordermethod
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