Solution of the symmetric band partial inverse eigenvalue problem for the damped mass spring system

IF 1.1 4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY
S. Rakshit, B. Datta
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引用次数: 1

Abstract

ABSTRACT The structured partial quadratic inverse eigenvalue problem (SPQIEP) is to construct the structured quadratic matrix polynomial using the partial eigendata. The structures arising in physical applications include symmetry, band (tridiagonal, diagonal, pentagonal) etc. The construction of the structured matrix polynomial is the most difficult aspect of this problem and the research on structured inverse eigenvalue problem is rare. In this paper, the symmetric band partial quadratic inverse eigenvalue problem (SBPQIEP) for the damped mass spring system is considered. This problem concerns in finding the symmetric band matrices , and C with bandwidth p from m ( ) prescribed eigenpairs so that the corresponding quadratic matrix polynomial has the given eigenpairs as its eigenvalues and eigenvectors. In general, SBPQIEP is very hard to solve due to the additional band structure constraint. We propose a novel method, based on the matrix-vectorization and Kronecker product of matrices for solving this problem. Furthermore, explicit expressions for general solutions are presented. Numerical experiments on a spring mass problem are presented to illustrate the applicability and the practical usefulness of the proposed method.
阻尼质量弹簧系统对称带偏反特征值问题的求解
结构化部分二次特征值反问题(SPQIEP)是利用部分特征数据构造结构化二次矩阵多项式的问题。在物理应用中出现的结构包括对称、带状(三对角线、对角线、五角线)等。结构化矩阵多项式的构造是这一问题的难点,对结构化特征值反问题的研究较少。研究了阻尼质量弹簧系统的对称带偏二次特征值反问题。这个问题涉及到从m()个规定的特征对中找到对称带矩阵和带宽为p的C,使相应的二次矩阵多项式以给定的特征对作为其特征值和特征向量。一般来说,由于额外的频带结构约束,SBPQIEP很难求解。我们提出了一种基于矩阵矢量化和矩阵的Kronecker积的新方法来解决这一问题。进一步给出了一般解的显式表达式。通过一个弹簧质量问题的数值实验,说明了该方法的适用性和实用性。
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来源期刊
Inverse Problems in Science and Engineering
Inverse Problems in Science and Engineering 工程技术-工程:综合
自引率
0.00%
发文量
0
审稿时长
6 months
期刊介绍: Inverse Problems in Science and Engineering provides an international forum for the discussion of conceptual ideas and methods for the practical solution of applied inverse problems. The Journal aims to address the needs of practising engineers, mathematicians and researchers and to serve as a focal point for the quick communication of ideas. Papers must provide several non-trivial examples of practical applications. Multidisciplinary applied papers are particularly welcome. Topics include: -Shape design: determination of shape, size and location of domains (shape identification or optimization in acoustics, aerodynamics, electromagnets, etc; detection of voids and cracks). -Material properties: determination of physical properties of media. -Boundary values/initial values: identification of the proper boundary conditions and/or initial conditions (tomographic problems involving X-rays, ultrasonics, optics, thermal sources etc; determination of thermal, stress/strain, electromagnetic, fluid flow etc. boundary conditions on inaccessible boundaries; determination of initial chemical composition, etc.). -Forces and sources: determination of the unknown external forces or inputs acting on a domain (structural dynamic modification and reconstruction) and internal concentrated and distributed sources/sinks (sources of heat, noise, electromagnetic radiation, etc.). -Governing equations: inference of analytic forms of partial and/or integral equations governing the variation of measured field quantities.
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