On Conditions for the Well-Posed Solvability of a Factorization Problem and a Class of Truncated Wiener–Hopf Equations

IF 0.58 Q3 Engineering
A. F. Voronin
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引用次数: 0

Abstract

This paper continues the study of the relationship between the convolution equation of the second kind on a finite interval \( (0, \tau ) \) (which is also called the truncated Wiener–Hopf equation) and a factorization problem (which is also called a vector Riemann–Hilbert boundary value problem or a vector Riemann boundary value problem). The factorization problem is associated with a family of truncated Wiener–Hopf equations depending on the parameter \( \tau \in (0,\infty ) \). The well-posed solvability of this family of equations is shown depending on the existence of a canonical factorization of some matrix function. In addition, various possible applications of the factorization problem and truncated Wiener–Hopf equations are considered.

一类分解问题及截断Wiener-Hopf方程的适定可解性条件
本文继续研究有限区间\( (0, \tau ) \)上的第二类卷积方程(也称为截断的Wiener-Hopf方程)与分解问题(也称为向量Riemann - hilbert边值问题或向量Riemann边值问题)之间的关系。因式分解问题与依赖于参数\( \tau \in (0,\infty ) \)的一组截断的Wiener-Hopf方程相关联。这类方程的适定可解性取决于某个矩阵函数的正则分解的存在性。此外,还考虑了因式分解问题和截断的Wiener-Hopf方程的各种可能应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Applied and Industrial Mathematics
Journal of Applied and Industrial Mathematics Engineering-Industrial and Manufacturing Engineering
CiteScore
1.00
自引率
0.00%
发文量
16
期刊介绍: Journal of Applied and Industrial Mathematics  is a journal that publishes original and review articles containing theoretical results and those of interest for applications in various branches of industry. The journal topics include the qualitative theory of differential equations in application to mechanics, physics, chemistry, biology, technical and natural processes; mathematical modeling in mechanics, physics, engineering, chemistry, biology, ecology, medicine, etc.; control theory; discrete optimization; discrete structures and extremum problems; combinatorics; control and reliability of discrete circuits; mathematical programming; mathematical models and methods for making optimal decisions; models of theory of scheduling, location and replacement of equipment; modeling the control processes; development and analysis of algorithms; synthesis and complexity of control systems; automata theory; graph theory; game theory and its applications; coding theory; scheduling theory; and theory of circuits.
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