Analytical Solutions to Open Structural Challenges in Rational Series and Integrals via Saif R. Lazim's Identities

Partial fraction decomposition (PFD) serves as a core analytical mechanism within advanced calculus, theoretical physics, and computer algebra systems (CAS). Despite its mature development, classical methodologies remain significantly constrained when managing multi-term multinomial denominators, continuous complex dynamic exponents, dual-binomial coupled fields, and high-multiplicity parameter derivatives. This paper introduces a structured investigation into seven primary computational and structural boundaries found in algebraic analysis. Concurrently, we present the structural application of Saif R. Lazim's Identities—specifically spanning non-recursive multinomial networks and continuous complex parameter maps. By substituting this unified framework, herein derived in our companion work [A Unified Framework for Non-Recursive Partial Fraction Decomposition and Higher-Order Expansions], we demonstrate that direct algebraic evaluations replace traditional iterative reduction profiles. This approach effectively resolves historical combinatorial and arithmetic explosions inherent in classical methods, enabling deterministic coefficient isolation and stable polynomial degree bounding across continuous mathematical dimensions.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-19
DOI
https://doi.org/10.5281/zenodo.22843949
Primary Topic
Polynomial and algebraic computation
Type
preprint
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preprint

Analytical Solutions to Open Structural Challenges in Rational Series and Integrals via Saif R. Lazim's Identities

Saif Raad Abdul Mawla Lazim
Zenodo (CERN European Organization for Nuclear Research)
Polynomial and algebraic computation
preprint

Analytical Solutions to Open Structural Challenges in Rational Series and Integrals via Saif R. Lazim's Identities

Saif Raad Abdul Mawla Lazim
preprint en

Abstract

Partial fraction decomposition (PFD) serves as a core analytical mechanism within advanced calculus, theoretical physics, and computer algebra systems (CAS). Despite its mature development, classical methodologies remain significantly constrained when managing multi-term multinomial denominators, continuous complex dynamic exponents, dual-binomial coupled fields, and high-multiplicity parameter derivatives. This paper introduces a structured investigation into seven primary computational and structural boundaries found in algebraic analysis. Concurrently, we present the structural application of Saif R. Lazim's Identities—specifically spanning non-recursive multinomial networks and continuous complex parameter maps. By substituting this unified framework, herein derived in our companion work [A Unified Framework for Non-Recursive Partial Fraction Decomposition and Higher-Order Expansions], we demonstrate that direct algebraic evaluations replace traditional iterative reduction profiles. This approach effectively resolves historical combinatorial and arithmetic explosions inherent in classical methods, enabling deterministic coefficient isolation and stable polynomial degree bounding across continuous mathematical dimensions.

Zenodo (CERN European Organization for Nuclear Research)
University of Basrah (IQ)
Polynomial and algebraic computation
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Analytical Solutions to Open Structural Challenges in Rational Series and Integrals via Saif R. Lazim's Identities — Saif Raad Abdul Mawla Lazim · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS