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Solutions of the Multivariate Inverse Frobenius-Perron Problem.

作者信息

Fox Colin, Hsiao Li-Jen, Lee Jeong-Eun Kate

机构信息

Department of Physics, University of Otago, Dunedin 9016, New Zealand.

System Manufacturing Center, National Chung-Shan Institute of Science & Technology, New Taipei City 237209, Taiwan.

出版信息

Entropy (Basel). 2021 Jun 30;23(7):838. doi: 10.3390/e23070838.

DOI:10.3390/e23070838
PMID:34208901
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8306100/
Abstract

We address the inverse Frobenius-Perron problem: given a prescribed target distribution ρ, find a deterministic map such that iterations of tend to ρ in distribution. We show that all solutions may be written in terms of a factorization that combines the forward and inverse Rosenblatt transformations with a uniform map; that is, a map under which the uniform distribution on the -dimensional hypercube is invariant. Indeed, every solution is equivalent to the choice of a uniform map. We motivate this factorization via one-dimensional examples, and then use the factorization to present solutions in one and two dimensions induced by a range of uniform maps.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf7/8306100/9c4182438ca6/entropy-23-00838-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf7/8306100/213d6118575b/entropy-23-00838-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf7/8306100/c2e0629e4764/entropy-23-00838-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf7/8306100/c7ca53c9533d/entropy-23-00838-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf7/8306100/80373eac0c27/entropy-23-00838-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf7/8306100/cb6e46a17225/entropy-23-00838-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf7/8306100/4c560b51cc8c/entropy-23-00838-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf7/8306100/5655ac40a050/entropy-23-00838-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf7/8306100/c6a94d997259/entropy-23-00838-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf7/8306100/946c1104f9e5/entropy-23-00838-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf7/8306100/9c4182438ca6/entropy-23-00838-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf7/8306100/213d6118575b/entropy-23-00838-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf7/8306100/c2e0629e4764/entropy-23-00838-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf7/8306100/c7ca53c9533d/entropy-23-00838-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf7/8306100/80373eac0c27/entropy-23-00838-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf7/8306100/cb6e46a17225/entropy-23-00838-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf7/8306100/4c560b51cc8c/entropy-23-00838-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf7/8306100/5655ac40a050/entropy-23-00838-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf7/8306100/c6a94d997259/entropy-23-00838-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf7/8306100/946c1104f9e5/entropy-23-00838-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf7/8306100/9c4182438ca6/entropy-23-00838-g010.jpg

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本文引用的文献

1
A matrix-based approach to solving the inverse Frobenius-Perron problem using sequences of density functions of stochastically perturbed dynamical systems.一种基于矩阵的方法,用于使用随机扰动动力系统的密度函数序列来解决逆弗罗贝尼乌斯 - 佩龙问题。
Commun Nonlinear Sci Numer Simul. 2018 Jan;54:248-266. doi: 10.1016/j.cnsns.2017.05.011.
2
Theory and examples of the inverse Frobenius-Perron problem for complete chaotic maps.
Chaos. 1999 Jun;9(2):357-366. doi: 10.1063/1.166413.
3
Simple mathematical models with very complicated dynamics.具有非常复杂动力学的简单数学模型。
Nature. 1976 Jun 10;261(5560):459-67. doi: 10.1038/261459a0.