Kavli Affiliate: Hsiao-Mei (Sherry) Cho
| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:Linking entropy production (EP) to information is a key step toward data-driven nonequilibrium thermodynamics. We derive an exact identity for overdamped Langevin dynamics that equates the total EP rate to the mutual-information rate between an infinitesimal displacement and its time-symmetric midpoint, up to a bulk mean-flow contribution. This mapping elevates information theory to a thermodynamic calculus: the chain rule yields a canonical, nonnegative split into self and interaction EP, and leads to a tighter bound on learning rate with interaction EP as the necessary cost. As a proof of concept, applying the estimator to red-blood-cell flickering shows that interaction EP robustly exposes active signatures that conventional summaries can miss.| Search Query: arXiv Query: search_query=au:Cho OR all:Hsiao-Mei&id_list=&start=0&max_results=3Read More