A Sequential Composite Decomposition for Approximating the Prime Counting Function with Error Analysis

This record corresponds to the published article: Nisarga S (2026), "A Sequential Composite Decomposition for Approximating the Prime Counting Function with Error Analysis", International Journal of Innovative Research in Technology (IJIRT), Volume 12, Issue 12, pages 800–802. The work introduces a sequential composite decomposition method for approximating the prime counting function π(x) by assigning each composite number to its smallest prime factor, thereby avoiding full inclusion–exclusion expansion. An associated error term is derived based on neglected higher-order prime product contributions. This version represents the published journal article. The original preprint is available as version 1 on Zenodo.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-01
DOI
https://doi.org/10.5281/zenodo.19743890
Primary Topic
Markov Chains and Monte Carlo Methods
Type
article
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article

A Sequential Composite Decomposition for Approximating the Prime Counting Function with Error Analysis

D. S.
Zenodo (CERN European Organization for Nuclear Research)
Markov Chains and Monte Carlo Methods
article

A Sequential Composite Decomposition for Approximating the Prime Counting Function with Error Analysis

D. S.
article en

Abstract

This record corresponds to the published article: Nisarga S (2026), "A Sequential Composite Decomposition for Approximating the Prime Counting Function with Error Analysis", International Journal of Innovative Research in Technology (IJIRT), Volume 12, Issue 12, pages 800–802. The work introduces a sequential composite decomposition method for approximating the prime counting function π(x) by assigning each composite number to its smallest prime factor, thereby avoiding full inclusion–exclusion expansion. An associated error term is derived based on neglected higher-order prime product contributions. This version represents the published journal article. The original preprint is available as version 1 on Zenodo.

Zenodo (CERN European Organization for Nuclear Research)
Reduced inequalities
Openalex Percentile: Top 12%
Markov Chains and Monte Carlo Methods
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