Abstract
In the study of dynamical systems on networks or graphs, a key theme is how the network topology influences stability for steady states or synchronized states. Ideally, one would like to derive conditions for stability or instability that, instead of microscopic details of the individual nodes or vertices, rather make the influence of the network coupling topology visible. The master stability function is an important such tool to achieve this goal. Here, we generalize the master stability approach to hypergraphs. A hypergraph coupling structure is important as it allows us to take into account arbitrary higher-order interactions between nodes. As, for instance, in the theory of coupled map lattices, we study Laplace-type interaction structures in detail. Since the spectral theory of Laplacians on hypergraphs is richer than on graphs, we see the possibility of different dynamical phenomena. More generally, our arguments provide a blueprint for how to generalize dynamical structures and results from graphs to hypergraphs.
| Original language | English |
|---|---|
| Article number | 062313 |
| Pages (from-to) | 1-6 |
| Number of pages | 6 |
| Journal | Physical review E |
| Volume | 101 |
| Issue number | 6 |
| Early online date | 29 Jun 2020 |
| DOIs | |
| Publication status | Published - Jun 2020 |
| Externally published | Yes |
Funding
The authors are grateful to the anonymous referees for the constructive comments. C.K. acknowledges support via a Lichtenberg Professorship as well as support via the TiPES project funded the European Union's Horizon 2020 research and innovation programme under Grant Agreement No. 820970.
| Funders | Funder number |
|---|---|
| Horizon 2020 Framework Programme | |
| Horizon 2020 | 820970 |
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