Speaker
Description
I will discuss recent work on universal bounds on entropy production that relate to the periodicity of a measured signal of discrete events of an otherwise hidden non-equilibrium system. The trade-off between cost and precision is expressed by non-linear mathematical functions, which vary slightly depending on the choice for the measure of precision and the time-symmetry of the observable. The bounds can be saturated for optimally designed Markov networks. The thermodynamic uncertainty relation, which applies to current-like observables, is thereby complemented for the general class of counting observables.
As an outlook towards possible future directions of the field, I will speculate how similar non-linear trade-offs between cost and precision could play a role for general models of clocks.
