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Condition numbers for inversion of Fiedler companion matrices

机译:Fiedler伴随矩阵求逆的条件数

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The Fiedler matrices of a monic polynomial p(z) of degree n are n × n matrices with characteristic polynomial equal to p(z) and whose nonzero entries are either 1 or minus the coefficients of p(z). Fiedler matrices include as particular cases the classical Frobenius companion forms of p(z). Frobenius companion matrices appear frequently in the literature on control and signal processing, but it is well known that they posses many properties that are undesirable numerically, which limit their use in applications. In particular, as n increases, Frobenius companion matrices are often nearly singular, i.e., their condition numbers for inversion are very large. Therefore, it is natural to investigate whether other Fiedler matrices are better conditioned than the Frobenius companion matrices or not. In this paper, we present explicit expressions for the condition numbers for inversion of all Fiedler matrices with respect the Frobenius norm, i.e., A_F=∑_(ij)| ~(aij)|~2. This allows us to get a very simple criterion for ordering all Fiedler matrices according to increasing condition numbers and to provide lower and upper bounds on the ratio of the condition numbers of any pair of Fiedler matrices. These results establish that if |p(0)|≤1, then the Frobenius companion matrices have the largest condition number among all Fiedler matrices of p(z), and that if |p(0)|>1, then the Frobenius companion matrices have the smallest condition number. We also provide families of polynomials where the ratio of the condition numbers of pairs of Fiedler matrices can be arbitrarily large and prove that this can only happen when both Fiedler matrices are very ill-conditioned. We finally study some properties of the singular values of Fiedler matrices and determine how many of the singular values of a Fiedler matrix are equal to one.
机译:n次单项式多项式p(z)的Fiedler矩阵是特征多项式等于p(z)的n×n矩阵,且其非零项为1或减去p(z)的系数。 Fiedler矩阵包括p(z)的经典Frobenius伴随形式(在特殊情况下)。 Frobenius伴随矩阵在控制和信号处理的文献中经常出现,但众所周知,它们具有许多数值上不理想的特性,这限制了它们在应用中的使用。特别是,随着n的增加,Frobenius伴随矩阵通常几乎是奇异的,即它们的求逆条件数非常大。因此,自然有必要研究其他Fiedler矩阵是否比Frobenius伴随矩阵更好的条件。在本文中,我们针对Frobenius范数给出了所有Fiedler矩阵求逆的条件数的显式表达式,即A_F = ∑_(ij)|。 〜(aij)|〜2。这使我们能够获得一个非常简单的准则,以根据递增的条件数对所有Fiedler矩阵进行排序,并为任意一对Fiedler矩阵的条件数之比提供上下限。这些结果证明,如果| p(0)|≤1,则Frobenius伴随矩阵在所有p(z)的Fiedler矩阵中具有最大的条件数;如果| p(0)|> 1,则Frobenius伴随矩阵具有最小的条件数。我们还提供了多项式族,其中Fiedler矩阵对的条件数的比率可以任意大,并证明只有当两个Fiedler矩阵都处于非常不适的条件时,这种情况才会发生。最后,我们研究Fiedler矩阵奇异值的一些性质,并确定Fiedler矩阵的奇异值有多少个等于1。

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