Expander graphs are globally synchronizing
Not on the map. Why?
Abstract (arXiv)
The Kuramoto model is fundamental to the study of synchronization. It consists of a collection of oscillators with interactions given by a network, which we identify respectively with vertices and edges of a graph. In this paper, we show that a graph with sufficient expansion must be globally synchronizing, meaning that a homogeneous Kuramoto model of identical oscillators on such a graph will converge to the fully synchronized state with all the oscillators having the same phase, for every initial state up to a set of measure zero. In particular, we show that for any varepsilon > 0 and p ≥ (1 + varepsilon) (log n) / n, the homogeneous Kuramoto model on the ErdHos-R'enyi random graph G(n, p) is globally synchronizing with probability tending to one as n goes to infinity. This improves on a previous result of Kassabov, Strogatz, and Townsend and solves a conjecture of Ling, Xu, and Bandeira. We also show that the model is globally synchronizing on any d-regular Ramanujan graph, and on typical d-regular graphs, for large enough degree d.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 23 Oct 2022.
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Citing papers per year: 2023: 1; 2024: 4; 2025: 3.
8 papers.
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- 2025Critical attention scaling in long-context transformers7 Oct 2025
- 2025Synchronization of mean-field models on the circle30 Jul 2025
- 2025Quantitative Clustering in Mean-Field Transformer Models20 Apr 2025
- 2024Clustering in Causal Attention Masking7 Nov 2024
- 2024Benign landscape for Burer-Monteiro factorizations of MaxCut-type semidefinite programs5 Nov 2024
- 2024Dynamic metastability in the self-attention model9 Oct 2024
- 2024Synchronization on circles and spheres with nonlinear interactions28 May 2024
- 2023A mathematical perspective on Transformers17 Dec 2023