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首页> 外文期刊>SIAM Journal on Matrix Analysis and Applications >FIRST ORDER ASYMPTOTIC EXPANSIONS FOR EIGENVALUES OF MULTIPLICATIVELY PERTURBED MATRICES
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FIRST ORDER ASYMPTOTIC EXPANSIONS FOR EIGENVALUES OF MULTIPLICATIVELY PERTURBED MATRICES

机译:乘摄动矩阵特征值的一阶渐近展开。

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摘要

Given an arbitrary square matrix A, we obtain the leading terms of the asymptotic expansions in the small, real parameter epsilon of multiplicative perturbations (A) over cap(epsilon) = (I + epsilon B) A(I + epsilon C) of A for arbitrary matrices B and C. The analysis is separated into two rather different cases, depending on whether the unperturbed eigenvalue is zero or not. It is shown that in either case the leading exponents are obtained from the partial multiplicities of the eigenvalue of interest, and the leading coefficients generically involve only appropriately normalized left and right eigenvectors of A associated with that eigenvalue, with no need of generalized eigenvectors. Similar results are obtained for multiplicative perturbation of singular values as well.
机译:给定一个任意的方阵A,我们获得在Cap(epsilon)=(I + epsilon B)的A(I + epsilon C)上乘性扰动(A)的小实参数epsilon中渐近展开的先导项对于任意矩阵B和C,该分析被分为两种情况,这取决于不受干扰的特征值是否为零。结果表明,在任何一种情况下,前导指数都是从感兴趣的特征值的部分多重性获得的,并且前导系数通常只涉及与该特征值相关的A的适当归一化左右特征向量,而无需广义特征向量。对于奇异值的乘性扰动也获得了相似的结果。

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