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A Study on the Statistical Properties of the Prime Numbers Using the Classical and Superstatistical Random Matrix Theories
Author(s) -
M. Abdel-Mageed,
Ahmed Salim,
Walid Osamy,
Ahmed M. Khedr
Publication year - 2021
Publication title -
advances in mathematical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.283
H-Index - 23
eISSN - 1687-9139
pISSN - 1687-9120
DOI - 10.1155/2021/9956518
Subject(s) - mathematics , random matrix , prime (order theory) , matrix (chemical analysis) , statistical physics , statistics , combinatorics , physics , materials science , quantum mechanics , eigenvalues and eigenvectors , composite material
The prime numbers have attracted mathematicians and other researchers to study their interesting qualitative properties as it opens the door to some interesting questions to be answered. In this paper, the Random Matrix Theory (RMT) within superstatistics and the method of the Nearest Neighbor Spacing Distribution (NNSD) are used to investigate the statistical proprieties of the spacings between adjacent prime numbers. We used the inverse χ 2 distribution and the Brody distribution for investigating the regular-chaos mixed systems. The distributions are made up of sequences of prime numbers from one hundred to three hundred and fifty million prime numbers. The prime numbers are treated as eigenvalues of a quantum physical system. We found that the system of prime numbers may be considered regular-chaos mixed system and it becomes more regular as the value of the prime numbers largely increases with periodic behavior at logarithmic scale.

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