Efficiency bounds for bipartite information-driven thermodynamic systems

Fuente: arXiv
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Main Authors: Xia, Shihao, Han, Shuanglong, Pan, Ousi, Pan, Yuzhuo, Chen, Jincan, Su, Shanhe
Format: Preprint
Published: 2024
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_version_ 1866916310442573824
author Xia, Shihao
Han, Shuanglong
Pan, Ousi
Pan, Yuzhuo
Chen, Jincan
Su, Shanhe
author_facet Xia, Shihao
Han, Shuanglong
Pan, Ousi
Pan, Yuzhuo
Chen, Jincan
Su, Shanhe
contents This study introduces a novel approach to derive a lower bound for the entropy production rate of a subsystem by utilizing the Cauchy-Schwarz inequality. It extends to establishing comprehensive upper and lower bounds for the efficiency of two subsystems. These bounds are applicable to a wide range of Markovian stochastic processes, which enhances the accuracy in depicting the range of energy conversion efficiency between subsystems. Empirical validation is conducted using a two-quantum-dot system model, which serves to confirm the effectiveness of our inequality in refining the boundaries of efficiency.
format Preprint
id arxiv_https___arxiv_org_abs_2407_02848
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Efficiency bounds for bipartite information-driven thermodynamic systems
Xia, Shihao
Han, Shuanglong
Pan, Ousi
Pan, Yuzhuo
Chen, Jincan
Su, Shanhe
Statistical Mechanics
This study introduces a novel approach to derive a lower bound for the entropy production rate of a subsystem by utilizing the Cauchy-Schwarz inequality. It extends to establishing comprehensive upper and lower bounds for the efficiency of two subsystems. These bounds are applicable to a wide range of Markovian stochastic processes, which enhances the accuracy in depicting the range of energy conversion efficiency between subsystems. Empirical validation is conducted using a two-quantum-dot system model, which serves to confirm the effectiveness of our inequality in refining the boundaries of efficiency.
title Efficiency bounds for bipartite information-driven thermodynamic systems
topic Statistical Mechanics
url https://arxiv.org/abs/2407.02848