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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Using the Riordan method, we obtain the factorizations of Pascal matrix involving the polynomials.
📌 3 Key Takeaways
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Objective & Hypothesis:We define a new generalization of Gaussian Pell-Lucas polynomials.
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Key Findings & Data:We call it $d-$Gaussian Pell-Lucas polynomials.
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Conclusion & Impact:Using the Riordan method, we obtain the factorizations of Pascal matrix involving the polynomials.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:d-Gaussian Pell-Lucas polynomial · generating function · Binet formula
Abstract
We define a new generalization of Gaussian Pell-Lucas polynomials. We call it $d-$Gaussian Pell-Lucas polynomials. Then we present the generating function and Binet formula for the polynomials. We give a matrix representation of $d-$Gaussian Pell-Lucas polynomials. Using the Riordan method, we obtain the factorizations of Pascal matrix involving the polynomials.
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Cite This Article
Özkan, E., Uysal, M. (2022). d-Gaussian Pell-Lucas Polynomials and Their Matrix Representations. Turkish Journal of Mathematics and Computer Science, Volume: 14 Issue: 2. https://doi.org/10.47000/tjmcs.1007382