Speaker
Description
Stochastic Impedance can be used to extract information from an entire
stochastic network by considering the response of the probability current between two sites to a periodic driving. However, the theory of stochastic impedance is formulated for periodically driven equilibrium systems. That is, in absence of the driving, the system obeys detailed balance and is as such in equilibrium. The present work aims to extend this framework to driven non-equilibrium systems. This would allow the formalism to not only be applied to the already wide extent of biological and chemical processes that are perturbed from equilibrium, but also to transport and search processes, which are of great interest in condensed matter physics and computer science.