Path-Extrema Upper Bounds on Mean Entropy Production
Surachate Limkumnerd

TL;DR
This paper develops a new upper-bound framework for mean entropy production in steady-state processes using path extrema, complementing traditional fluctuation relation bounds.
Contribution
It introduces a path-extrema upper envelope and quantifies how actual dynamics relate to these extrema through new gap measures, advancing entropy production bounds.
Findings
Derived a path-extrema upper envelope for entropy production.
Established an exact identity linking mean entropy to envelope and gap measures.
Provided a quantitative upper-bound theory for entropy production based on path extrema.
Abstract
Fluctuation relations imply the second-law inequality , but path extrema can also constrain how large the mean entropy production can be. For steady-state processes with entropy-production martingale , we show that knowing only the positive running maximum of gives no improvement over the trivial endpoint bound: rare negative entropy-production excursions can still carry the exponential weight required by the fluctuation relation. Using the running extrema and , we derive a path-extrema upper envelope . The relaxed envelope problem ranks realized intervals by the entropy gain per martingale cost, , giving a continuous knapsack problem. The actual mean satisfies the exact identity ,…
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