{ "id": "1902.10422", "version": "v1", "published": "2019-02-27T10:01:14.000Z", "updated": "2019-02-27T10:01:14.000Z", "title": "Critical dynamics of the Kuramoto model on sparse random networks", "authors": [ "R. Juhász", "J. Kelling", "G. Ódor" ], "comment": "13 pages, 8 figures", "categories": [ "cond-mat.stat-mech", "cond-mat.dis-nn" ], "abstract": "We consider the Kuramoto model on sparse random networks such as the Erd\\H{o}s-R\\'enyi graph or its combination with a regular two-dimensional lattice and study the dynamical scaling behavior of the model at the synchronization transition by large-scale, massively parallel numerical integration. By this method, we obtain an estimate of critical coupling strength more accurate than obtained earlier by finite-size scaling of the stationary order parameter. Our results confirm the compatibility of the correlation-size and the temporal correlation-length exponent with the mean-field universality class. However, the scaling of the order parameter exhibits corrections much stronger than those of the Kuramoto model with all-to-all coupling, making thereby an accurate estimate of the order-parameter exponent hard. We find furthermore that, as a qualitative difference to the model with all-to-all coupling, the effective critical exponents involving the order-parameter exponent, such as the effective decay exponent characterizing the critical desynchronization dynamics show a non-monotonic approach toward the asymptotic value. In the light of these results, the technique of finite-size scaling of limited size data for the Kuramoto model on sparse graphs has to be treated cautiously.", "revisions": [ { "version": "v1", "updated": "2019-02-27T10:01:14.000Z" } ], "analyses": { "keywords": [ "sparse random networks", "kuramoto model", "critical dynamics", "mean-field universality class", "order-parameter exponent hard" ], "note": { "typesetting": "TeX", "pages": 13, "language": "en", "license": "arXiv", "status": "editable" } } }