Combinatorial Analysis on Bell Polynomials of a Product

This work presents a novel combinatorial framework for analyzing Bell Polynomials of a product of functions. By extending classical definitions of complete and partial Bell Polynomials, the paper introduces the concept of a generalized convoluted partial Bell Polynomial (GCPBP) and develops systematic recurrence relations and convolution-type expansions for higher-order derivatives. The methodology provides explicit formulas for evaluating exponentiated products of functions, leveraging Faà di Bruno’s formula and generating function techniques. Applications include efficient computation of Taylor series coefficients for composite functions and a combinatorial perspective on derivative evaluation. The framework is suitable for both theoretical exploration and practical computation in symbolic mathematics. Additional resources: The full manuscript is available on GitHub and the conceptual foundations are discussed in The Organism Manifesto.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-08
DOI
https://doi.org/10.5281/zenodo.17290866
Primary Topic
Fungal and yeast genetics research
Type
article
Field-Weighted Citation Impact
0.00
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article

Combinatorial Analysis on Bell Polynomials of a Product

Zenodo (CERN European Organization for Nuclear Research)
Fungal and yeast genetics research
article

Combinatorial Analysis on Bell Polynomials of a Product

article en

Abstract

This work presents a novel combinatorial framework for analyzing Bell Polynomials of a product of functions. By extending classical definitions of complete and partial Bell Polynomials, the paper introduces the concept of a generalized convoluted partial Bell Polynomial (GCPBP) and develops systematic recurrence relations and convolution-type expansions for higher-order derivatives. The methodology provides explicit formulas for evaluating exponentiated products of functions, leveraging Faà di Bruno’s formula and generating function techniques. Applications include efficient computation of Taylor series coefficients for composite functions and a combinatorial perspective on derivative evaluation. The framework is suitable for both theoretical exploration and practical computation in symbolic mathematics. Additional resources: The full manuscript is available on GitHub and the conceptual foundations are discussed in The Organism Manifesto.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 46%
Fungal and yeast genetics research
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