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首页> 外文期刊>SIAM Journal on Matrix Analysis and Applications >STRUCTURED PSEUDOSPECTRA AND THE CONDITION OF A NONDEROGATORY EIGENVALUE
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STRUCTURED PSEUDOSPECTRA AND THE CONDITION OF A NONDEROGATORY EIGENVALUE

机译:结构化伪谱和非变性特征值的条件

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Let lambda be a nonderogatory eigenvalue of A is an element of C-nxn of algebraic multiplicity m. The sensitivity of lambda with respect to matrix perturbations of the form A (sic) A + Delta, Delta is an element of Delta, is measured by the structured condition number kappa(Delta)(A, lambda). Here Delta denotes the set of admissible perturbations. However, if Delta is not a vector space over C, then kappa(Delta)(A, lambda) provides only incomplete information about the mobility of lambda under small perturbations from Delta. The full information is then given by the set K-Delta( x, y) = {y*Delta x; Delta is an element of Delta, parallel to Delta parallel to <= 1} subset of C that depends on Delta, a pair of normalized right and left eigenvectors x, y, and the norm parallel to.parallel to that measures the size of the perturbations. We always have kappa(Delta)(A, lambda) = max{vertical bar z vertical bar(1/m); z is an element of K-Delta(x, y)}. Furthermore, K-Delta(x, y) determines the shape and growth of the Delta-structured pseudospectrum in a neighborhood of lambda. In this paper we study the sets K-Delta(x, y) and obtain methods for computing them. In doing so we obtain explicit formulae for structured eigenvalue condition numbers with respect to many important perturbation classes.
机译:令lambda为A的非贬义特征值,它是代数多重性c的C-nxn的元素。 λ对形式为A(sic)A + Delta的矩阵摄动的灵敏度,Delta是Delta的元素,由结构化条件数kappaΔ(A,lambda)测量。在此,Delta表示允许的扰动集。但是,如果Delta不是C上的向量空间,则kappaΔ(A,lambda)仅提供关于Delta的小扰动下lambda迁移率的不完整信息。然后通过集合K-Delta(x,y)= {y * Delta x;给出完整的信息。 Delta是Delta的元素,与Delta平行,Delta平行于C的<= 1}子集,该子集取决于Delta,一对归一化左右特征向量x,y以及与之平行的范数。扰动。我们总是有kappa(Delta)(A,lambda)= max {垂直条z垂直条(1 / m); z是K-Delta(x,y)}的元素。此外,K-Delta(x,y)确定了λ附近的Delta结构伪谱的形状和增长。在本文中,我们研究了集合K-Delta(x,y)并获得了计算它们的方法。这样,我们就许多重要的扰动类别获得了结构化特征值条件数的明确公式。

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