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Second law of thermodynamics for relativistic fluids formulated with relative entropy

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arxiv 2008.02706 v2 pith:YVMYQXQR submitted 2020-08-06 quant-ph cond-mat.stat-mechhep-th

classification quant-phcond-mat.stat-mechhep-th
keywords quantumentropyrelativerelativisticseconddynamicsdiscussentanglement
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The second law of thermodynamics is discussed and reformulated from a quantum information theoretic perspective for open quantum systems using relative entropy. Specifically, the relative entropy of a quantum state with respect to equilibrium states is considered and its monotonicity property with respect to an open quantum system evolution is used to obtain second law-like inequalities. We discuss this first for generic quantum systems in contact with a thermal bath and subsequently turn to a formulation suitable for the description of local dynamics in a relativistic quantum field theory. A local version of the second law similar to the one used in relativistic fluid dynamics can be formulated with relative entropy or even relative entanglement entropy in a space-time region bounded by two light cones. We also give an outlook towards isolated quantum field theories and discuss the role of entanglement for relativistic fluid dynamics.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Investigating QCD Dynamical Entropy in high-energy nuclear collisions

    hep-ph 2025-07 conditional novelty 4.0 of 10

    Using geometric scaling and Glauber-Gribov nuclear gluon distributions, the authors find that the QCD dynamical entropy in proton-nucleus collisions is essentially independent of the atomic mass number A, while the en...

  2. A numerical analysis of Araki-Uhlmann relative entropy in Quantum Field Theory

    hep-th 2025-02 conditional novelty 4.0 of 10

    For a free massive scalar field in 1+1 dimensions, the Araki-Uhlmann relative entropy between a coherent state and the vacuum decreases with mass and increases with region size in numerical tests.

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