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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Under these conditions, the asymptotic of the eigenvalues of the matrix diffusion operator is obtained, while the Rouche theorem and the Gaussian elimination method are used.
📌 3 Key Takeaways
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Objective & Hypothesis:In this paper, matrix diffusion equations with boundary conditions and jump conditions on $\left[0,\pi \right]\backslash \left\{a\right\}$ are considered.
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Key Findings & Data:In this paper, matrix diffusion equations with boundary conditions and jump conditions on $\left[0,\pi \right]\backslash \left\{a\right\}$ are considered.
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Conclusion & Impact:Under these conditions, the asymptotic of the eigenvalues of the matrix diffusion operator is obtained, while the Rouche theorem and the Gaussian elimination method are used.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Matrix diffusion operator · Eigenvalue asymptotics · Spectral data.
Abstract
In this paper, matrix diffusion equations with boundary conditions and jump conditions on $\left[0,\pi \right]\backslash \left\{a\right\}$ are considered. Under these conditions, the asymptotic of the eigenvalues of the matrix diffusion operator is obtained, while the Rouche theorem and the Gaussian elimination method are used.
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Cite This Article
Ergün, A. (2021). Asymptotics of Eigenvalues of the Matrix Diffusion Operators. Fundamentals of Contemporary Mathematical Sciences, Volume: 2 Issue: 1. https://ajindex.com/articles/1486324