Preprint Article Version 1 This version is not peer-reviewed

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)

How to cite: Roberto Telles, C. Geometrical Information Flow Regulated by Time Lengths. Preprints 2018, 2018080217 (doi: 10.20944/preprints201808.0217.v1). Roberto Telles, C. Geometrical Information Flow Regulated by Time Lengths. Preprints 2018, 2018080217 (doi: 10.20944/preprints201808.0217.v1).

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.

Subject Areas

probabilistic systems analysis; nonlinear systems; public management; pattern formation; resources distribution; information entropy

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our diversity statement.

Leave a public comment
Send a private comment to the author(s)
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.