Starts 16 Apr 2013 12:00
Ends 16 Apr 2013 20:00
Central European Time
SISSA, Santorio Building, Room 128 (1st Floor)
I will discuss the fundamental equivalence between thermodynamic inefficiency, measured by dissipation, and information processing inefficiency. The dynamics of any system responding to a stochastic environmental signal can be interpreted as computing an implicit model of the driving signal. The system’s state retains information about past environmental fluctuations, and a fraction of this information is predictive of future fluctuations. The remaining nonpredictive information reflects model complexity that does not improve predictive power, and thus represents the inefficiency of the model. We find that instantaneous nonpredictive information: 1) is proportional to the work dissipated due to environmental change; 2) provides a lower bound on the total dissipated work when summed over the length of a driving protocol; 3) augments the lower bound on heat generated due to information erasure (Landauer's principle). Our results hold far from thermodynamic equilibrium and are thus applicable to a wide range of systems, including biomolecular machines, and potential future nano computing devices. These results highlight a profound connection between the effective use of information and efficient thermodynamic operation: any system constructed to keep memory about its environment, and to operate with maximal energetic efficiency, has to be predictive. http://prl.aps.org/abstract/PRL/v109/i12/e120604
  • M. Poropat