A Generalization of the Digital Binomial Theorem
Hieu D. Nguyen

TL;DR
This paper generalizes the digital binomial theorem using Sierpinski matrices, introduces new formulas for Prouhet-Thue-Morse polynomials, and explores algebraic relations among related matrices.
Contribution
It presents a novel one-parameter subgroup of generalized Sierpinski matrices and derives new coefficient formulas and group relations, extending the digital binomial theorem.
Findings
Established a one-parameter subgroup of matrices
Derived new formulas for Prouhet-Thue-Morse coefficients
Described algebraic relations among generating matrices
Abstract
We prove a generalization of the digital binomial theorem by constructing a one-parameter subgroup of generalized Sierpinski matrices. In addition, we derive new formulas for the coefficients of Prouhet-Thue-Morse polynomials and describe group relations satisfied by generating matrices defined in terms of these Sierpinski matrices.
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Taxonomy
TopicsDigital Image Processing Techniques · Computability, Logic, AI Algorithms · Mathematical Analysis and Transform Methods
