High-dimensional Kuramoto models on Stiefel manifolds synchronize complex networks almost globally
Not on the map. Why?
Abstract (arXiv)
The Kuramoto model of coupled phase oscillators is often used to describe synchronization phenomena in nature. Some applications, e.g., quantum synchronization and rigid-body attitude synchronization, involve high-dimensional Kuramoto models where each oscillator lives on the n-sphere or SO(n). These manifolds are special cases of the compact, real Stiefel manifold St(p,n). Using tools from optimization and control theory, we prove that the generalized Kuramoto model on St(p,n) converges to a synchronized state for any connected graph and from almost all initial conditions provided (p,n) satisfies p<=2n/3-1 and all oscillator frequencies are equal. This result could not have been predicted based on knowledge of the Kuramoto model in complex networks over the circle. In that case, almost global synchronization is graph dependent; it applies if the network is acyclic or sufficiently dense. This paper hence identifies a property that distinguishes many high-dimensional generalizations of the Kuramoto models from the original model.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 26 Jul 2018.
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Citing papers per year: 2021: 2; 2022: 0; 2023: 1; 2024: 1.
4 papers.
- 2021Decentralized Riemannian Gradient Descent on the Stiefel Manifoldcited by 33
- 2024SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesiscited by 12
- 2021On the Local Linear Rate of Consensus on the Stiefel Manifoldcited by 8
- 2023Decentralized Weakly Convex Optimization Over the Stiefel Manifoldcited by 1
- 2024SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis28 Dec 2024
- 2023Decentralized Weakly Convex Optimization Over the Stiefel Manifold31 Mar 2023
- 2021Decentralized Riemannian Gradient Descent on the Stiefel Manifold14 Feb 2021
- 2021On the Local Linear Rate of Consensus on the Stiefel Manifold22 Jan 2021