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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
We investigate the Cholesky factorization of the generalized symmetric k-Fibonacci matrix by using these identities.
📌 3 Key Takeaways
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Objective & Hypothesis:Matrix methods are a useful tool while dealing with many problems stemming from linear recurrence relations.
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Key Findings & Data:In this paper, we discuss factorizations and inverse factorizations of two kinds of generalized k-Fibonacci matrices.
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Conclusion & Impact:We investigate the Cholesky factorization of the generalized symmetric k-Fibonacci matrix by using these identities.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Generalized k-Fibonacci matrix · Symmetric generalized k-Fibonacci matrix · Cholesky factorization
Abstract
Matrix methods are a useful tool while dealing with many problems stemming from linear recurrence relations. In this paper, we discuss factorizations and inverse factorizations of two kinds of generalized k-Fibonacci matrices. We derive some useful identities of the k-Fibonacci sequence. We investigate the Cholesky factorization of the generalized symmetric k-Fibonacci matrix by using these identities.
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Cite This Article
Köme, C. (2022). Cholesky Factorization of the Generalized Symmetric k- Fibonacci Matrix. Gazi University Journal of Science, Volume: 35 Issue: 4. https://doi.org/10.35378/gujs.838411