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arXiv 2610.02919math.FA

非可分序列空间上卷积算子的谱性质

Spectral Properties of Convolution Operators on Non-Separable Sequence Spaces

Sayan Saha, Arnab Patra

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中文总结 AI 辅助

本文针对非可分序列空间上的卷积算子,提出线性泛函方法结合单侧移位算子精细谱分解,完整刻画其各类谱,并推广至算子多项式,统一了带状三角矩阵的谱理论。

中文摘要 AI 辅助

本文给出了作用在非可分空间$\sigma_\infty$(Hahn序列空间的对偶空间)上的有界卷积算子的谱、点谱、连续谱和剩余谱的完整刻画。由于标准对偶性和基于可分性的技术在此背景下失效,我们采用线性泛函方法,并结合单侧移位算子的精细谱分解。此外,作为该方法的一个主要应用,我们在不要求可分性的情况下,建立了作用在一般序列空间上的算子多项式的精细谱的完整描述。这一结果提供了一个统一框架,涵盖了各种序列空间上一般带状三角矩阵的经典谱确定,并使得在非可分空间上能够显式计算精细谱。

英文摘要

This paper provides a complete characterization of the spectrum, point spectrum, continuous spectrum, and residual spectrum of bounded convolution operators acting on the non-separable space $σ_\infty$, the dual of the Hahn sequence space. Because standard duality and separability-based techniques fail in this setting, a linear functional approach is employed with the fine spectral decomposition of the unilateral shift operator. Furthermore, as a major application of this methodology, we establish a complete description of the fine spectrum for operator polynomials acting on general sequence spaces without requiring separability. This result provides a unified framework that subsumes classical spectral determinations for general banded triangular matrices across various sequence spaces and enables the explicit computation of fine spectrum on non-separable spaces.

发表机构

  • Indian Institute of Technology Bhilai(印度理工学院比莱分校)

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