Mutual information disentangles internal interactions from changing environments
ORAL
Abstract
Real-world systems are characterized by complex interactions among their internal degrees of freedom while living in ever-changing environments whose net effect is to act as additional couplings. Here, we study 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. Our approach can be extended to a wide class of stochastic dynamics and might stand as a general method to discriminate complex internal interactions from equally complex changing environments.
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Publication: PRL Editor's Suggestion (in press, 2021): https://journals.aps.org/prl/accepted/4d070Y3aTa11718729e70a95c14755e7e28a10824<br>arXiv link: arXiv:2107.08985v2
Presenters
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Daniel Maria Busiello
Ecole Polytechnique Federale de Lausanne
Authors
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Daniel Maria Busiello
Ecole Polytechnique Federale de Lausanne
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Giorgio Nicoletti
University of Padua