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Sylvester Equations and the Factorization of the Error System in Krylov Subspace Methods

机译:西尔维斯特方程和Krylov子空间方法中误差系统的分解

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This paper presents a factorization of the error system that arises in model reduction of linear time invariant systems by Krylov subspace methods. The factorization is introduced for reduced models that match moments and/or Markov parameters of the original system with multiple inputs and outputs. Furthermore, dual results are given for the reduction with input and output Krylov subspaces. To this end, this work constitutes a generalization of [Wolf et al. (2011)] where the factorization was first presented for a special case. The results emerge from an investigation of the Sylvester equations that arise in the context of Krylov subspaces. To that effect, previous results on Sylvester equations are revised and extended in this paper. The theoretic results on Krylov subspaces that are presented here can be useful in error analysis and in the selection of expansion points in Krylov-based model order reduction.
机译:本文介绍了krylov子空间方法模型减少模型减少模型减少的错误系统的分解。引入了对具有多个输入和输出的原始系统的矩和/或马尔可夫参数的减少模型来引入分解。此外,给出了用输入和输出krylov子空间减少的双重结果。为此,这项工作构成了[Wolf等人。 (2011)]在何处,首先提出了一个特殊情况。结果始于在Krylov子空间的背景下产生的Sylvester方程的调查。为此,在Sylvester方程上的先前结果在本文中修改并延长。这里呈现的Krylov子空间的理论结果可以在误差分析和基于Krylov的模型顺序减少方面的扩展点的选择中有用。

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