Analytical prediction of specific spatiotemporal patterns in nonlinear oscillator networks with distance-dependent time delays

We introduce an analytical approach that allows predictions and mechanistic insights into the dynamics of nonlinear oscillator networks with heterogeneous time delays. We demonstrate that time delays shape the spectrum of a matrix associated to the system, leading to the emergence of waves with a pr...

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Bibliographic Details
Published in:arXiv.org 2023-01
Main Authors: Budzinski, Roberto C, Nguyen, Tung T, Benigno, Gabriel B, Doàn, Jacqueline, Mináč, Ján, Sejnowski, Terrence J, Muller, Lyle E
Format: Article
Language:English
Subjects:
Mathematical analysis
Networks
Nonlinear dynamics
Oscillators
Time dependence
Online Access:Get full text
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Summary:We introduce an analytical approach that allows predictions and mechanistic insights into the dynamics of nonlinear oscillator networks with heterogeneous time delays. We demonstrate that time delays shape the spectrum of a matrix associated to the system, leading to the emergence of waves with a preferred direction. We then create analytical predictions for the specific spatiotemporal patterns observed in individual simulations of time-delayed Kuramoto networks. This approach generalizes to systems with heterogeneous time delays at finite scales, which permits the study of spatiotemporal dynamics in a broad range of applications.
ISSN:2331-8422
DOI:10.48550/arxiv.2207.13785