Mode Selection in Compressible Active Flow Networks.

Author: 

Forrow, A
Woodhouse, FG
Dunkel, J

Journal: 

Physical review letters

Publication Date: 

14 July 2017

Last Updated: 

2019-02-17T05:04:22.02+00:00

Issue: 

2

DOI: 

10.1103/physrevlett.119.028102

Volume: 

119

page: 

028102-

abstract: 

Coherent, large-scale dynamics in many nonequilibrium physical, biological, or information transport networks are driven by small-scale local energy input. Here, we introduce and explore an analytically tractable nonlinear model for compressible active flow networks. In contrast to thermally driven systems, we find that active friction selects discrete states with a limited number of oscillation modes activated at distinct fixed amplitudes. Using perturbation theory, we systematically predict the stationary states of noisy networks and find good agreement with a Bayesian state estimation based on a hidden Markov model applied to simulated time series data. Our results suggest that the macroscopic response of active network structures, from actomyosin force networks to cytoplasmic flows, can be dominated by a significantly reduced number of modes, in contrast to energy equipartition in thermal equilibrium. The model is also well suited to study topological sound modes and spectral band gaps in active matter.

Symplectic id: 

940508

Submitted to ORA: 

Submitted

Publication Type: 

Journal Article