Article
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Geometrical Information Flow Regulated by Time Lengths
Version 1
: Received: 10 August 2018 / Approved: 13 August 2018 / Online: 13 August 2018 (07:44:51 CEST)
A peer-reviewed article of this Preprint also exists.
Roberto Telles, C. Geometrical Information Flow Regulated by Time Lengths: An Initial Approach. Symmetry 2018, 10, 645. Roberto Telles, C. Geometrical Information Flow Regulated by Time Lengths: An Initial Approach. Symmetry 2018, 10, 645.
Abstract
The article analyzes Bernoulli 's binary sequences in representation of empirical events about the distribution of natural resources and population sizes. Considering the event as a nonlinear system, and consisting of two dependent random variables, with memory and probabilities in maximum finite or infinite lengths, constant and equal to ½ for both variables (stationary process). The expressions of the possible trajectories remain constant in sequences that are repeated alternating the presence or absence of one of the variables at each iteration (asymmetric). There are constant oscillations in the event except if the variables X1 and X2 are regulated as a function of time Y. It is observed that the variables X1 and X2 assume in time Tk → ∞ specific behaviors (geometric variable) that can be used as management tools for random systems. In this way, the article seeks to know from this analyzes, the maximum entropy of information in the system by a theoretical view and how to model resources distribution or containment in the given problem.
Keywords
probabilistic systems analysis; nonlinear systems; public management; pattern formation; resources distribution; information entropy
Subject
Computer Science and Mathematics, Applied Mathematics
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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