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互信息从不断变化的环境中解缠相互作用。

Mutual Information Disentangles Interactions from Changing Environments.

机构信息

Laboratory of Interdisciplinary Physics, Department of Physics and Astronomy "G. Galilei", University of Padova, 35121 Padova, Italy.

Institute of Physics, École Polytechnique Fédérale de Lausanne-EPFL, 1015 Lausanne, Switzerland.

出版信息

Phys Rev Lett. 2021 Nov 24;127(22):228301. doi: 10.1103/PhysRevLett.127.228301.

Abstract

Real-world systems are characterized by complex interactions of their internal degrees of freedom, while living in ever-changing environments whose net effect is to act as additional couplings. Here, we introduce a paradigmatic interacting model in a switching, but unobserved, environment. We show that the limiting properties of the mutual information of the system allow for a disentangling of these two sources of couplings. Further, our approach might stand as a general method to discriminate complex internal interactions from equally complex changing environments.

摘要

真实系统的特点是其内部自由度的复杂相互作用,同时生活在不断变化的环境中,其净效应是充当额外的耦合。在这里,我们引入了一个在开关但不可观测的环境中相互作用的范例模型。我们表明,系统互信息的极限性质允许对这两种耦合源进行解缠。此外,我们的方法可能成为区分复杂内部相互作用和同样复杂的变化环境的一般方法。

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