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连续分布的优化与动力学

Majorization and Dynamics of Continuous Distributions.

作者信息

Gomez Ignacio S, da Costa Bruno G, Dos Santos Maike A F

机构信息

Instituto de Física, Universidade Federal da Bahia, Rua Barao de Jeremoabo, Salvador-BA 40170-115, Brazil.

Instituto Federal de Educação, Ciência e Tecnologia do Sertão Pernambucano, BR 407, km 08, Petrolina 56314-520, Pernambuco, Brazil.

出版信息

Entropy (Basel). 2019 Jun 14;21(6):590. doi: 10.3390/e21060590.

DOI:10.3390/e21060590
PMID:33267304
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7515079/
Abstract

In this work we show how the concept of majorization in continuous distributions can be employed to characterize mixing, diffusive, and quantum dynamics along with the -Boltzmann theorem. The key point lies in that the definition of majorization allows choosing a wide range of convex functions ϕ for studying a given dynamics. By choosing appropriate convex functions, mixing dynamics, generalized Fokker-Planck equations, and quantum evolutions are characterized as majorized ordered chains along the time evolution, being the stationary states the infimum elements. Moreover, assuming a dynamics satisfying continuous majorization, the -Boltzmann theorem is obtained as a special case for ϕ ( x ) = x ln x .

摘要

在这项工作中,我们展示了如何利用连续分布中的优超概念来刻画混合、扩散和量子动力学以及玻尔兹曼定理。关键在于优超的定义允许选择广泛的凸函数ϕ来研究给定的动力学。通过选择合适的凸函数,混合动力学、广义福克 - 普朗克方程和量子演化被刻画为沿时间演化的优超有序链,稳态是最小元素。此外,假设一种满足连续优超的动力学,对于ϕ(x)=xlnx的情况,玻尔兹曼定理作为一个特殊情况被得到。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9897/7515079/168513c38f4a/entropy-21-00590-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9897/7515079/7f531cfa3008/entropy-21-00590-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9897/7515079/168513c38f4a/entropy-21-00590-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9897/7515079/7f531cfa3008/entropy-21-00590-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9897/7515079/168513c38f4a/entropy-21-00590-g002.jpg

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本文引用的文献

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Entropic Uncertainty Relations via Direct-Sum Majorization Relation for Generalized Measurements.基于广义测量直和优超关系的熵不确定性关系
Entropy (Basel). 2019 Mar 11;21(3):270. doi: 10.3390/e21030270.
2
Equilibrium States in Two-Temperature Systems.双温系统中的平衡态
Entropy (Basel). 2018 Mar 9;20(3):183. doi: 10.3390/e20030183.
3
Quantifying Chaos by Various Computational Methods. Part 2: Vibrations of the Bernoulli-Euler Beam Subjected to Periodic and Colored Noise.用各种计算方法量化混沌。第2部分:受周期噪声和有色噪声作用的伯努利-欧拉梁的振动
Entropy (Basel). 2018 Mar 5;20(3):170. doi: 10.3390/e20030170.
4
Avoiding Irreversibility: Engineering Resonant Conversions of Quantum Resources.避免不可逆转性:工程共振量子资源转换。
Phys Rev Lett. 2019 Mar 22;122(11):110403. doi: 10.1103/PhysRevLett.122.110403.
5
Entropic nonadditivity, H theorem, and nonlinear Klein-Kramers equations.熵的非加和性、H 定理和非线性 Klein-Kramers 方程。
Phys Rev E. 2017 Nov;96(5-1):052109. doi: 10.1103/PhysRevE.96.052109. Epub 2017 Nov 6.
6
Consequences of the H theorem from nonlinear Fokker-Planck equations.非线性福克-普朗克方程中H定理的推论
Phys Rev E Stat Nonlin Soft Matter Phys. 2007 Oct;76(4 Pt 1):041123. doi: 10.1103/PhysRevE.76.041123. Epub 2007 Oct 17.