Algorithm for spectral factorization of polynomial matrices on the real line

IF 0.8 Q2 MATHEMATICS Advances in Operator Theory Pub Date : 2024-11-29 DOI:10.1007/s43036-024-00406-w
Lasha Ephremidze
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Abstract

In this paper, we extend the basic idea of the Janashia–Lagvilava algorithm to adapt it for the spectral factorization of positive-definite polynomial matrices on the real line. This extension results in a new spectral factorization algorithm for polynomial matrix functions defined on \(\mathbb {R}\). The presented numerical example demonstrates that the proposed algorithm outperforms an existing algorithm in terms of accuracy.

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实线上多项式矩阵的谱因式分解算法
在本文中,我们扩展了 Janashia-Lagvilava 算法的基本思想,使其适用于实线上正定多项式矩阵的谱因式分解。这一扩展为定义在 \(\mathbb {R}\) 上的多项式矩阵函数带来了一种新的谱因式分解算法。所给出的数值示例表明,所提出的算法在精确度方面优于现有算法。
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CiteScore
1.60
自引率
0.00%
发文量
55
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