Excursion-Resolved Thermodynamic Inference without Observing Reverse Transitions
Jie Gu
Abstract
Experiments often detect only selected transitions, leaving the underlying state dynamics and dissipation hidden. We show that waiting-time distributions between directed visible events can reconstruct the boundary dynamics without observing the reverse of every detected transition. Under a simple source-target closure condition, they determine visible rates and the hidden excursions connecting observed states, yielding a rigorous lower bound on total entropy production that improves the standard waiting-time estimate when reverse events are available. Remarkably, observing only a spanning directed cycle is sufficient to identify the full Markov generator, even when all reverse cycle edges and other microscopic transitions remain unseen.
Create a lesson
Related papers
Towards synergy between theory and experiments: First-passage processes under resetting with stochastic return protocols
Ashutosh Dubey, Arnab Pal
Emergent Loop Geometry in Gauge-Equivariant Graph Neural Networks
Ali Rayat, Gia-Wei Chern
Extending the mean first-passage-time formalism to the reconstruction of high free-energy barriers: A top-start approach
Ying Jiang, Ivan Saika-Voivod
Exact Microscopic One-Body Reduction in the Symmetric Exclusion Process
Olivier Bénichou, Aurélien Grabsch
Macroscopic fluctuation theory of stochastic systems undergoing monitoring
João Costa, Pedro Ribeiro, Andrea De Luca
Charge-selective topological locking and ultraslow coarsening in magnetoelastic media
Tirthankar Banerjee, Amaresh Jaiswal