Spatial localization beyond steady states in the neighbourhood of the Takens–Bogdanov bifurcation

IF 1.4 4区 数学 Q2 MATHEMATICS, APPLIED IMA Journal of Applied Mathematics Pub Date : 2021-07-01 DOI:10.1093/imamat/hxab030
Haifaa Alrihieli;Alastair M Rucklidge;Priya Subramanian
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引用次数: 1

Abstract

Double-zero eigenvalues at a Takens–Bogdanov (TB) bifurcation occur in many physical systems such as double-diffusive convection, binary convection and magnetoconvection. Analysis of the associated normal form, in 1D with periodic boundary condition, shows the existence of steady patterns, standing waves, modulated waves (MW) and travelling waves, and describes the transitions and bifurcations between these states. Values of coefficients of the terms in the normal form classify all possible different bifurcation scenarios in the neighbourhood of the TB bifurcation (Dangelmayr, G. & Knobloch, E. (1987) The Takens–Bogdanov bifurcation with O(2)-symmetry. Phil. Trans. R. Soc. Lond. A, 322, 243-279). In this work we develop a new and simple pattern-forming partial differential equation (PDE) model, based on the Swift–Hohenberg equation, adapted to have the TB normal form at onset. This model allows us to explore the dynamics in a wide range of bifurcation scenarios, including in domains much wider than the lengthscale of the pattern. We identify two bifurcation scenarios in which coexistence between different types of solutions is indicated from the analysis of the normal form equation. In these scenarios, we look for spatially localized solutions by examining pattern formation in wide domains. We are able to recover two types of localized states, that of a localized steady state (LSS) in the background of the trivial state (TS) and that of a spatially localized travelling wave (LTW) in the background of the TS, which have previously been observed in other systems. Additionally, we identify two new types of spatially localized states: that of a LSS in a MW background and that of a LTW in a steady state (SS) background. The PDE model is easy to solve numerically in large domains and so will allow further investigation of pattern formation with a TB bifurcation in one or more dimensions and the exploration of a range of background and foreground pattern combinations beyond SSs.
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Takens–Bogdanov分岔附近稳态以外的空间局部化
Takens-Bogdanov (TB)分岔的双零特征值存在于许多物理系统中,如双扩散对流、二元对流和磁对流。在一维周期边界条件下,对相关的范式进行分析,证明了稳态模式、驻波、调制波和行波的存在,并描述了这些状态之间的转换和分岔。正规形式项的系数值对TB分岔的邻域中所有可能的不同分岔情况进行分类(Dangelmayr, G. & Knobloch, E. (1987) O(2)-对称的Takens-Bogdanov分岔。菲尔。反式。r . Soc。Lond。A, 322, 243-279)。在这项工作中,我们开发了一个新的和简单的模式形成的偏微分方程(PDE)模型,基于Swift-Hohenberg方程,适应于在开始时具有TB标准形式。这个模型允许我们在大范围的分岔场景中探索动态,包括在比模式的长度尺度更宽的领域。通过对范式方程的分析,我们确定了两种不同类型解共存的分岔情形。在这些情况下,我们通过检查广泛领域的模式形成来寻找空间局部化的解决方案。我们能够恢复两种类型的局域状态,一种是在平凡状态(TS)背景下的局域稳态(LSS),另一种是在TS背景下的空间局域行波(LTW),这在其他系统中已经被观察到。此外,我们还确定了两种新的空间局域化状态:MW背景下的LSS和稳态背景下的LTW。PDE模型很容易在大范围内进行数值求解,因此将允许在一个或多个维度上进一步研究具有TB分支的模式形成,并探索超出SSs的一系列背景和前景模式组合。
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来源期刊
CiteScore
2.30
自引率
8.30%
发文量
32
审稿时长
24 months
期刊介绍: The IMA Journal of Applied Mathematics is a direct successor of the Journal of the Institute of Mathematics and its Applications which was started in 1965. It is an interdisciplinary journal that publishes research on mathematics arising in the physical sciences and engineering as well as suitable articles in the life sciences, social sciences, and finance. Submissions should address interesting and challenging mathematical problems arising in applications. A good balance between the development of the application(s) and the analysis is expected. Papers that either use established methods to address solved problems or that present analysis in the absence of applications will not be considered. The journal welcomes submissions in many research areas. Examples are: continuum mechanics materials science and elasticity, including boundary layer theory, combustion, complex flows and soft matter, electrohydrodynamics and magnetohydrodynamics, geophysical flows, granular flows, interfacial and free surface flows, vortex dynamics; elasticity theory; linear and nonlinear wave propagation, nonlinear optics and photonics; inverse problems; applied dynamical systems and nonlinear systems; mathematical physics; stochastic differential equations and stochastic dynamics; network science; industrial applications.
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