Efficiency bounds for bipartite information-driven thermodynamic systems

Shihao Xia; Shuanglong Han; Ousi Pan; Yuzhuo Pan; Jincan Chen; Shanhe Su

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arXiv · 2407.02848

Efficiency bounds for bipartite information-driven thermodynamic systems

Shihao Xia·Shuanglong Han·Ousi Pan·Yuzhuo Pan·Jincan Chen·Shanhe Su

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Abstract

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.

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Shihao Xia, Shuanglong Han, Ousi Pan, Yuzhuo Pan, Jincan Chen, Shanhe Su. 2024-07-03. Efficiency bounds for bipartite information-driven thermodynamic systems. https://arxiv.org/abs/2407.02848

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