Research Article Open Access Double-Blind Peer Review

ANALYTICAL PERSPECTIVES ON RIEMANN ZETA ZEROS THROUGH TOY MODEL FRAMEWORKS

Amina Folashade Adeyemi
Published 15 January 2026
Vol. 14, No. 1 (2026)
pp. 1-17
CC BY 4.0
  1. 1
    Amina Folashade Adeyemi
    Independent Researcher, Mathematical Sciences, Orogbum, Nigeria
    NG

This study revisits a toy model framework for exploring the non-trivial roots of the Riemann zeta function and clarifies aspects of earlier works in a continuing research series on the Riemann Hypothesis. Root model equations are constructed via Taylor series expansions to provide insight into the behavior of the zeros and facilitate analytical and computational verification. Numerical contour integral methods (e.g., MATLAB) and telescopic techniques are proposed to verify known zeros, while a mathematical-linguistic method organizes logical inferences into a structured framework called a “Logical and Organized Context.” This combined approach offers a conceptual pathway for analyzing complex conjectures and may have broader implications in cryptography, aerodynamics, and computational linguistics

JournalInternational Journal of Data Science and Statistics
ISSN3065-0577
Volume / IssueVol. 14, No. 1 (2026)
Pages1-17
Published15 January 2026
DOI10.5281/zenodo.19661973
Access Open Access
LicenseCC BY 4.0 — reuse with attribution
PublisherKeith Publications
Adeyemi , A. (2026). ANALYTICAL PERSPECTIVES ON RIEMANN ZETA ZEROS THROUGH TOY MODEL FRAMEWORKS. International Journal of Data Science and Statistics, Vol. 14 No. 1, pp. 1-17. DOI: https://doi.org/10.5281/zenodo.19661973

 Submit Your Research to International Journal of Data Science and Statistics

We invite original research articles, review papers, and case studies. Benefit from rigorous double-blind peer review, rapid decision within 4–8 weeks, DOI for every article, and worldwide open-access distribution.