Chaos induced by snap-back repellers in a n-dimensional wave network

In this paper, we consider the chaotic behavior of a $ n $-dimensional wave network with mixed partial derivative linear energy transport terms. The symmetric nonlinearities of van der Pol type are proposed at each wave equation boundary endpoint, which cause the energy of the wave equation to rise and fall within certain ranges. At the interconnected point of the wave network, the energy is injected into the system through an anti-damping velocity feedback. By applying the snap-back repeller theory, the gradient of the wave equations is proved to be chaotic in the sense of Li-Yorke. Numerical simulations are also presented to illustrate the theory.

Institutions

Publication Details

Journal
Discrete and Continuous Dynamical Systems - S
Published
2025-01-01
DOI
https://doi.org/10.3934/dcdss.2025120
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Chaos induced by snap-back repellers in a n-dimensional wave network

Discrete and Continuous Dynamical Systems - S
Geochemistry and Geologic Mapping
article

Chaos induced by snap-back repellers in a n-dimensional wave network

article en

Abstract

In this paper, we consider the chaotic behavior of a $ n $-dimensional wave network with mixed partial derivative linear energy transport terms. The symmetric nonlinearities of van der Pol type are proposed at each wave equation boundary endpoint, which cause the energy of the wave equation to rise and fall within certain ranges. At the interconnected point of the wave network, the energy is injected into the system through an anti-damping velocity feedback. By applying the snap-back repeller theory, the gradient of the wave equations is proved to be chaotic in the sense of Li-Yorke. Numerical simulations are also presented to illustrate the theory.

Discrete and Continuous Dynamical Systems - SVol. 18(12)
Taiyuan Normal University (CN), Shanxi University (CN), Ministry of Industry and Information Technology (CN)
Openalex Percentile: Top 70%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.