Convergence of analytic gradient-type systems with periodicity and its applications in Kuramoto models

摘要

We consider the convergence of gradient-type systems with periodic and analytic potentials. The main tool is the celebrated Lojasiewicz inequality which is valid for any analytic function. Our results show that the convergence of such systems with periodic and analytic potentials is unconditional to the initial data; in other words, any trajectory converges to some equilibrium. As direct applications, we can show that any trajectory converges to phase-locked state for the first- and second-order Kuramoto models on a symmetric network with attractive-repulsive forces and identical natural frequencies. In particular, the inertial Kuramoto model with identical oscillators converges to phase-locked state for any initial configuration. (C) 2018 Elsevier Ltd. All rights reserved.