Thermodynamic constraints on correlations and oscillations in nonequilibrium systems
A central goal of stochastic thermodynamics is to understand how nonequilibrium driving constrains dynamical behavior. In this talk, I will show that cycle affinity, a fundamental measure of nonequilibrium driving in Markov processes, imposes thermodynamic constraints in two complementary directions. First, it bounds the asymmetry of cross-correlations between arbitrary observables. This leads to thermodynamic bounds on functional properties governed by temporal asymmetry, such as directed information flow, and provides a new method for inferring affinity from data. Second, cycle affinity constrains the localization of eigenvalues of Markov generators, leading to bounds on the coherence of stochastic oscillations. Taken together, these results highlight cycle affinity as a unifying quantity linking correlations, oscillations, and thermodynamic driving in nonequilibrium systems.
This IFISC Seminar will be broadcasted in the following zoom link: https://us06web.zoom.us/j/89027654460?pwd=Wg9TYMPqqP2ipfj2JVvEagmzaTw29c.1
Coffee and cookies will be served 15 minutes before the start of the seminar
Detalls de contacte:
Gonzalo Manzano Contact form