Graph-facilitated resonant mode counting in stochastic interaction networks.

ABSTRACT: Oscillations in dynamical systems are widely reported in multiple branches of applied mathematics. Critically, even a non-oscillatory deterministic system can produce cyclic trajectories when it is in a low copy number, stochastic regime. Common methods of finding parameter ranges for stochastically driven resonances, such as direct calculation, are cumbersome for any but the smallest networks. In this paper, we provide a systematic framework to efficiently determine the number of resonant modes and parameter ranges for stochastic oscillations relying on real root counting algorithms and graph theoretic methods. We argue that stochastic resonance is a network property by showing that resonant modes only depend on the squared Jacobian matrix J², unlike deterministic oscill

SUBMITTER: Adamer MF 

PROVIDER: S-EPMC5746565 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature