Asymptotic stability of the high-dimensional Kuramoto model on Stiefel manifolds

In this paper, we investigate the convergence properties of a heterogeneous consensus model on Stiefel manifolds. In the model, each agent evolves according to its own skew-symmetric natural frequency and interacts through a projected attraction toward a weighted average of neighboring states. When all natural frequencies coincide, the dynamics can be transformed into a gradient flow on a product manifold by passing to a suitable moving frame. In this study, we focus on the genuinely heterogeneous case in which the natural frequencies are not all identical and the gradient-flow structure is no longer available. For separable network topologies, we perform an orbital stability analysis and establish the emergence of asymptotic consensus under a suitable framework involving small initial diameter, small heterogeneity, and sufficiently large coupling strength. This improves upon the previous result in [Ha et al., Automatica 136 (2022)] by providing a sufficient regime whose size does not shrink with the number of agents. We also establish a uniform-in-time stability estimate with respect to the initial data under a homogeneous asymptotic complete-consensus assumption. In the small-diameter subregime with a fixed margin below 2 , the stability constants can be chosen explicitly.

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Publication Details

Journal
Nonlinear Analysis
Published
2026-09-15
DOI
https://doi.org/10.1016/j.na.2026.114276
Citations
1
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
0.00

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article

Asymptotic stability of the high-dimensional Kuramoto model on Stiefel manifolds

Woojoo Shim, Dohyun Kim
1 citations
Nonlinear Analysis
Mental Health Research Topics
article

Asymptotic stability of the high-dimensional Kuramoto model on Stiefel manifolds

Woojoo Shim, Dohyun Kim
article en
1 citations

Abstract

In this paper, we investigate the convergence properties of a heterogeneous consensus model on Stiefel manifolds. In the model, each agent evolves according to its own skew-symmetric natural frequency and interacts through a projected attraction toward a weighted average of neighboring states. When all natural frequencies coincide, the dynamics can be transformed into a gradient flow on a product manifold by passing to a suitable moving frame. In this study, we focus on the genuinely heterogeneous case in which the natural frequencies are not all identical and the gradient-flow structure is no longer available. For separable network topologies, we perform an orbital stability analysis and establish the emergence of asymptotic consensus under a suitable framework involving small initial diameter, small heterogeneity, and sufficiently large coupling strength. This improves upon the previous result in [Ha et al., Automatica 136 (2022)] by providing a sufficient regime whose size does not shrink with the number of agents. We also establish a uniform-in-time stability estimate with respect to the initial data under a homogeneous asymptotic complete-consensus assumption. In the small-diameter subregime with a fixed margin below 2 , the stability constants can be chosen explicitly.

Nonlinear AnalysisVol. 275
Kyungpook National University (KR), Sungkyunkwan University (KR)
National Research Foundation, Kyungpook National University, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 100%
Mental Health Research Topics
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Asymptotic stability of the high-dimensional Kuramoto model on Stiefel manifolds — Woojoo Shim, Dohyun Kim · Nonlinear Analysis (2026) | TGRS Research Map | TGRS