被动状态/信号系统的内核、图像和散射表示法

IF 0.7 4区 数学 Q2 MATHEMATICS
Damir Z. Arov
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引用次数: 0

摘要

本著作介绍了被动和保守状态/信号系统的图像和核表示的特性。早先,这些表示法是在与奥洛夫-J-斯塔凡斯(Olof J. Staffans)关于线性状态/信号系统理论的联合论文中介绍的,适用于更广泛的类别,即封闭状态/信号系统。在被动和保守状态/信号系统的情况下,我们理论中的核心角色是散射表征,而不是这些表征。本文还建立了被动状态/信号系统的图像表示和散射表示之间的联系。被动状态/信号系统理论的主要概念和结果与克林空间的已知概念和结果相关联,这些概念和结果在本文中得到了广泛应用。最后,在一个简单的量子图上演示了一个被动和保守状态/信号系统的例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Kernel, Image and Scattering Representations of Passive State/Signal Systems

In this work the characteristic properties of image and kernel representations of passive and conservative state/signal systems are presented. Earlier these representations were introduced in joint papers with Olof J. Staffans on theory of linear state/signal systems for much wider class, namely closed state/signal systems. In the case of passive and conservative state/signal systems the central role in our theory play scattering representations instead of these representations. In this paper the connections between image and scattering representations of a passive state/signal system are established, too. Main notions and results of passive s/s theory are connected with known notions and results from Krein spaces that are intensively used here. At the end an example of passive and conservative state/signal system is demonstrate on a simple quantum graph.

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来源期刊
CiteScore
1.20
自引率
12.50%
发文量
107
审稿时长
3 months
期刊介绍: Complex Analysis and Operator Theory (CAOT) is devoted to the publication of current research developments in the closely related fields of complex analysis and operator theory as well as in applications to system theory, harmonic analysis, probability, statistics, learning theory, mathematical physics and other related fields. Articles using the theory of reproducing kernel spaces are in particular welcomed.
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