Speaker
Udo Seifert
(II. Institute for Theoretical Physics, University of Stuttgart)
Description
After briefly introducing the principles of stochastic
thermodynamics [1], I will discuss our recent work
concerning three universal results for biomolecular system
that go beyond the second law and the fluctuation theorem.
First, I will show how the presence of a slow hidden degree
of freedom leads to a "fine-structured" fluctuation theorem
using our hybrid molecular motor model as illustration [2].
Second, I will discuss a universal thermodynamic inequality
quantifying the trade-off between precision of a process and
its thermodynamic cost [3]. Third, I will show how in
bacterial sensing, thermodynamics puts constraints on the
maximal achievable "learning rate" with which a sensory
system acquires information about changing external
conditions [4].
[1] U.S., Rep Prog Phys 75, 126001, 2012.
[2] P. Pietzonka, E. Zimmermann and U.S., EPL 107, 20002, 2014.
[3] A.C. Barato and U.S., Phys Rev Lett 114, 158101, 2015.
[4] A.C. Barato, D. Hartich, and U.S., New J Phys 16,
103024, 2014.
