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BiEntropy, TriEntropy and Primality

The order and disorder of binary representations of the natural numbers < 2(8) is measured using the BiEntropy function. Significant differences are detected between the primes and the non-primes. The BiEntropic prime density is shown to be quadratic with a very small Gaussian distributed error....

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Autor principal: Croll, Grenville J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516769/
https://www.ncbi.nlm.nih.gov/pubmed/33286084
http://dx.doi.org/10.3390/e22030311
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author Croll, Grenville J.
author_facet Croll, Grenville J.
author_sort Croll, Grenville J.
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description The order and disorder of binary representations of the natural numbers < 2(8) is measured using the BiEntropy function. Significant differences are detected between the primes and the non-primes. The BiEntropic prime density is shown to be quadratic with a very small Gaussian distributed error. The work is repeated in binary using a Monte Carlo simulation of a sample of natural numbers < 2(32) and in trinary for all natural numbers < 3(9) with similar but cubic results. We found a significant relationship between BiEntropy and TriEntropy such that we can discriminate between the primes and numbers divisible by six. We discuss the theoretical basis of these results and show how they generalise to give a tight bound on the variance of Pi(x)–Li(x) for all x. This bound is much tighter than the bound given by Von Koch in 1901 as an equivalence for proof of the Riemann Hypothesis. Since the primes are Gaussian due to a simple induction on the binary derivative, this implies that the twin primes conjecture is true. We also provide absolutely convergent asymptotes for the numbers of Fermat and Mersenne primes in the appendices.
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spelling pubmed-75167692020-11-09 BiEntropy, TriEntropy and Primality Croll, Grenville J. Entropy (Basel) Article The order and disorder of binary representations of the natural numbers < 2(8) is measured using the BiEntropy function. Significant differences are detected between the primes and the non-primes. The BiEntropic prime density is shown to be quadratic with a very small Gaussian distributed error. The work is repeated in binary using a Monte Carlo simulation of a sample of natural numbers < 2(32) and in trinary for all natural numbers < 3(9) with similar but cubic results. We found a significant relationship between BiEntropy and TriEntropy such that we can discriminate between the primes and numbers divisible by six. We discuss the theoretical basis of these results and show how they generalise to give a tight bound on the variance of Pi(x)–Li(x) for all x. This bound is much tighter than the bound given by Von Koch in 1901 as an equivalence for proof of the Riemann Hypothesis. Since the primes are Gaussian due to a simple induction on the binary derivative, this implies that the twin primes conjecture is true. We also provide absolutely convergent asymptotes for the numbers of Fermat and Mersenne primes in the appendices. MDPI 2020-03-10 /pmc/articles/PMC7516769/ /pubmed/33286084 http://dx.doi.org/10.3390/e22030311 Text en © 2020 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Croll, Grenville J.
BiEntropy, TriEntropy and Primality
title BiEntropy, TriEntropy and Primality
title_full BiEntropy, TriEntropy and Primality
title_fullStr BiEntropy, TriEntropy and Primality
title_full_unstemmed BiEntropy, TriEntropy and Primality
title_short BiEntropy, TriEntropy and Primality
title_sort bientropy, trientropy and primality
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516769/
https://www.ncbi.nlm.nih.gov/pubmed/33286084
http://dx.doi.org/10.3390/e22030311
work_keys_str_mv AT crollgrenvillej bientropytrientropyandprimality