Regensburg 2016 – wissenschaftliches Programm
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DY: Fachverband Dynamik und Statistische Physik
DY 11: Focus Session: Stochastic thermodynamics and information processing (joint session DY/BP)
DY 11.4: Hauptvortrag
Montag, 7. März 2016, 16:45–17:15, H44
Information reservoirs, bipartite systems, and the minimal energetic cost of uncertainty in biomolecular reactions — •Andre C Barato — Max Planck Institute for the Physics of Complex Systems
First, we show that the theory of stochastic thermodynamics can be generalized to include information reservoirs. These reservoirs can be seen as a sequence of bits that have their Shannon entropy changed due to the interaction with the system. Second, we discuss bipartite systems that can be used to study cellular information processing, allowing for the definition of an entropic rate that quantifies how much a cell learns about a fluctuating external environment. This entropic rate is bounded by the thermodynamic entropy production, which quantifies the rate of dissipated heat. Third, we show a thermodynamic uncertainty relation for biomolecular processes that connects the uncertainty in a random variable such as the output of a chemical reaction with the free energy that must be dissipated in order to sustain the chemical reaction. An uncertainty є requires an energy dissipation of at least 2kBT/є2.