Abstract:
We investigated the impact of nonequilibrium conditions on the transmission and recovery of information through noisy channels. By measuring the recoverability of messages from an information source, we demonstrate that the ability to recover information is connected to the nonequilibrium behavior of the information flow, particularly in terms of sequential information transfer. We discovered that the mathematical equivalence of information recoverability and entropy production characterizes the dissipative nature of information transfer. Our findings show that both entropy production (or recoverability) and mutual information increase monotonically with the nonequilibrium strength of information dynamics. These results suggest that the nonequilibrium dissipation cost can enhance the recoverability of noise messages and improve the quality of information transfer. Finally, we propose a simple model to test our conclusions and found that the numerical results support our findings.
摘要:
我们研究了非平衡条件对通过嘈杂通道传输和恢复信息的影响。通过测量来自信息源的消息的可恢复性,我们证明了恢复信息的能力与信息流的非平衡行为有关,特别是在顺序信息传递方面。我们发现,信息可恢复性和熵产生的数学等价性表征了信息传递的耗散性质。我们的发现表明,熵的产生(或可恢复性)和互信息都随着信息动力学的非平衡强度而单调增加。这些结果表明,非平衡耗散成本可以增强噪声信息的可恢复性并提高信息传递的质量。最后,我们提出了一个简单的模型来检验我们的结论,发现数值结果支持我们的发现。