无界块算子矩阵中B-Fredholm谱的数值探索

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED
Aymen Bahloul
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引用次数: 0

摘要

本文研究了Banach空间上定义的无界块算子矩阵的B-Fredholm谱性质,考虑了它们在谱理论中的基础作用以及它们在演化方程控制的物理模型中的出现。在一组宽松的假设下,分析提供了b基本光谱的精细表征。该研究引入了关键定理,利用舒尔补技术建立了全算子矩阵的谱与其对角分量之间的关系。数值算例说明了理论结果,并明确计算了所选算子结构的解析和b -本质谱。这些结果有助于推进无界算子矩阵的谱理论,并开辟了将抽象结果与数值框架内的具体应用联系起来的新方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Numerical exploration of B-Fredholm spectra in unbounded block operator matrices
This paper investigates the B-Fredholm spectral properties of unbounded block operator matrices defined on Banach spaces, motivated by their foundational role in spectral theory and their occurrence in physical models governed by evolution equations. Under a relaxed set of assumptions, the analysis provides a refined characterization of the B-essential spectra. The study introduces pivotal theorems that establish relationships between the spectra of the full operator matrix and its diagonal components, using Schur complement techniques. Numerical examples are included to illustrate the theoretical results, with explicit computations of resolvents and B-essential spectra for selected operator structures. The results contribute to advancing the spectral theory of unbounded operator matrices and open new directions that link abstract results to concrete applications within a numerical framework.
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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