波格丹诺夫-塔肯斯分岔附近同线性预测因子的正则表达式与中心曼菲尔德还原之间的相互作用

IF 1.7 4区 数学 Q2 MATHEMATICS, APPLIED SIAM Journal on Applied Dynamical Systems Pub Date : 2024-01-25 DOI:10.1137/22m151354x
Maikel M. Bosschaert, Yuri A. Kuznetsov
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引用次数: 0

摘要

SIAM Journal on Applied Dynamical Systems, Volume 23, Issue 1, Page 410-439, March 2024. 摘要.本文首次提供了[math]维 ODEs 在一般 Bogdanov-Takens 分岔点附近的正确三阶同次轨道预测器,可用于开始对出现的同次轨道进行数值延续。要实现这一点,林德斯特-庞加莱方法中的非线性时间变换的高阶时间近似是必不可少的。此外,还严格推导出了正常形式解的近似值与参数相关中心流形上解的近似值之间的正确变换。在波格丹诺夫-塔肯斯点附近采用不同的正则形式(光滑和轨道)、不同的相位条件和不同的扰动方法(正则和林德斯特-平卡莱)来逼近同次元解时,进行了详细的比较。文中举例说明了预测器的正确性。新的同次元预测器是在开源的 MATLAB/GNU Octave continuation 软件包 MatCont 中实现的。
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Interplay between Normal Forms and Center Manifold Reduction for Homoclinic Predictors near Bogdanov–Takens Bifurcation
SIAM Journal on Applied Dynamical Systems, Volume 23, Issue 1, Page 410-439, March 2024.
Abstract.This paper provides for the first time correct third-order homoclinic predictors in [math]-dimensional ODEs near a generic Bogdanov–Takens bifurcation point, which can be used to start the numerical continuation of the appearing homoclinic orbits. To achieve this, higher-order time approximations to the nonlinear time transformation in the Lindstedt–Poincaré method are essential. Moreover, a correct transform between approximations to solutions in the normal form and approximations to solutions on the parameter-dependent center manifold is derived rigorously. A detailed comparison is done between applying different normal forms (smooth and orbital), different phase conditions, and different perturbation methods (regular and Lindstedt–Poincaré) to approximate the homoclinic solution near Bogdanov–Takens points. Examples demonstrating the correctness of the predictors are given. The new homoclinic predictors are implemented in the open-source MATLAB/GNU Octave continuation package MatCont.
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来源期刊
SIAM Journal on Applied Dynamical Systems
SIAM Journal on Applied Dynamical Systems 物理-物理:数学物理
CiteScore
3.60
自引率
4.80%
发文量
74
审稿时长
6 months
期刊介绍: SIAM Journal on Applied Dynamical Systems (SIADS) publishes research articles on the mathematical analysis and modeling of dynamical systems and its application to the physical, engineering, life, and social sciences. SIADS is published in electronic format only.
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