Complete Homogeneous Symmetric Polynomials with Repeating Variables

In this paper, we consider complete homogeneous symmetric polynomials evaluated for variables repeated with given multiplicities; in other words, we consider polynomials obtained from complete homogeneous polynomials by identifying some subsets of their variables. We represent such polynomials as linear combinations of the powers of the variables, where all exponents are equal to the degree of the original polynomial. We give two proofs for the proposed formulas: the first proof uses the decomposition of the generating function into partial fractions, and the second involves the inverse of the confluent Vandermonde matrix. We also discuss the computational feasibility of the proposed formulas.

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Publication Details

Journal
Mathematics
Published
2024-12-26
DOI
https://doi.org/10.3390/math13010034
Primary Topic
Random Matrices and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Complete Homogeneous Symmetric Polynomials with Repeating Variables

Luis Angel González-Serrano, Egor A. Maximenko
Mathematics
Random Matrices and Applications
article

Complete Homogeneous Symmetric Polynomials with Repeating Variables

Luis Angel González-Serrano, Egor A. Maximenko
article en

Abstract

In this paper, we consider complete homogeneous symmetric polynomials evaluated for variables repeated with given multiplicities; in other words, we consider polynomials obtained from complete homogeneous polynomials by identifying some subsets of their variables. We represent such polynomials as linear combinations of the powers of the variables, where all exponents are equal to the degree of the original polynomial. We give two proofs for the proposed formulas: the first proof uses the decomposition of the generating function into partial fractions, and the second involves the inverse of the confluent Vandermonde matrix. We also discuss the computational feasibility of the proposed formulas.

MathematicsVol. 13(1)
Instituto Politécnico Nacional (MX)
Instituto Politécnico Nacional
Openalex Percentile: Top 75%
Random Matrices and Applications
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