Journal of Statistical Physics

, Volume 162, Issue 5, pp 1183–1202

Biological Implications of Dynamical Phases in Non-equilibrium Networks


DOI: 10.1007/s10955-015-1445-0

Cite this article as:
Murugan, A. & Vaikuntanathan, S. J Stat Phys (2016) 162: 1183. doi:10.1007/s10955-015-1445-0


Biology achieves novel functions like error correction, ultra-sensitivity and accurate concentration measurement at the expense of free energy through Maxwell Demon-like mechanisms. The design principles and free energy trade-offs have been studied for a variety of such mechanisms. In this review, we emphasize a perspective based on dynamical phases that can explain commonalities shared by these mechanisms. Dynamical phases are defined by typical trajectories executed by non-equilibrium systems in the space of internal states. We find that coexistence of dynamical phases can have dramatic consequences for function vs free energy cost trade-offs. Dynamical phases can also provide an intuitive picture of the design principles behind such biological Maxwell Demons.


Biological networks Information processing Dynamical phase transitions 

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Arvind Murugan
    • 1
    • 2
    • 3
  • Suriyanarayanan Vaikuntanathan
    • 2
    • 4
  1. 1.School of Engineering and Applied Sciences and Kavli Institute for Bionano Science and TechnologyHarvard UniversityCambridgeUSA
  2. 2.James Franck InstituteUniversity of ChicagoChicagoUSA
  3. 3.Department of PhysicsUniversity of ChicagoChicagoUSA
  4. 4.Department of ChemistryUniversity of ChicagoChicagoUSA

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