次乘法矩阵范数的Fiedler和稀疏伴矩阵多项式根的界

Mamoudou Amadou Bondabou, Ousmane Moussa Tessa, Amidou Morou
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引用次数: 2

摘要

我们使用子乘法伴矩阵范数为给定多项式P(X)在域C[X]上的根提供了新的界。从n×n Fiedler伴侣矩阵C出发,介绍了稀疏伴侣矩阵和三角形Hessenberg矩阵。然后,我们确定了一个特殊的三角形Hessenberg矩阵Lr,它提供了根的一个很好的估计。将Gershgorin定理应用于这种特殊的矩阵,在矩阵的次乘范数情况下,给出了根的界的一些估计。得到的边界与文献中已知的边界进行了比较,精确地说就是柯西边界、蒙泰尔边界和卡尔米歇尔-梅森边界。根据Lr的开始形式,我们看到系数越接近于零且范数小于1,稀疏方法就越有用。
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Bounds for Polynomial’s Roots from Fiedler and Sparse Companion Matrices for Submultiplicative Matrix Norms
We use submultiplicative companion matrix norms to provide new bounds for roots for a given polynomial P(X) over the field C[X]. From a n×n Fiedler companion matrix C, sparse companion matrices and triangular Hessenberg matrices are introduced. Then, we identify a special triangular Hessenberg matrix Lr, supposed to provide a good estimation of the roots. By application of Gershgorin’s theorems to this special matrix in case of submultiplicative matrix norms, some estimations of bounds for roots are made. The obtained bounds have been compared to known ones from the literature precisely Cauchy’s bounds, Montel’s bounds and Carmichel-Mason’s bounds. According to the starting formel of Lr, we see that the more we have coefficients closed to zero with a norm less than 1, the more the Sparse method is useful.
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