JOURNAL ARTICLE

Rescaled range and detrended fluctuation analysis for decimal digits of irrational numbers.

  • Published In: International Journal of Modern Physics C: Computational Physics & Physical Computation, 2026, v. 37, n. 3. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Mehri, Ali; Jamaati, Maryam 3 of 3

Abstract

Irrational numbers appear in various research areas, from science to high-level technologies, and even in human life, from living organisms to music. This research aims to quantify autocorrelation for decimal digits of four famous irrational numbers, including π , ϕ , e and 2 using rescaled range analysis and detrended fluctuation analysis, up to their one billion digits. In this way, the Hurst exponent and fluctuation exponent are extracted by the mentioned methods. The estimated Hurst and fluctuation exponents, as statistical metrics, indicate short-range memory in the sequence of decimal digits of the studied irrational numbers. Both exponents show finite-size scaling behavior by increasing the number of decimal digits, from 1 0 2 up to 1 0 9 , and they generally tend to reach their marginal value of 0.5, which confirms the lack of long-range correlation. Consequently, the decimal digits of irrational numbers can be considered as truly random sequences, with uncorrelated randomness. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Modern Physics C: Computational Physics & Physical Computation. 2026/03, Vol. 37, Issue 3, p1
  • Document Type:Article
  • Subject Area:Mathematics
  • Publication Date:2026
  • ISSN:0129-1831
  • DOI:10.1142/S0129183125500822
  • Accession Number:189523122
  • Copyright Statement:Copyright of International Journal of Modern Physics C: Computational Physics & Physical Computation is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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