正矩阵的紧半群

T. T. West
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引用次数: 1

摘要

利用Kaashoek和West在[1],[2]中检验的线性算子紧一元半群的谱理论,以及两个块为严格正或为零的块矩阵定理,给出了Perron-Frobenius正矩阵理论。本文的方法是基于Smyth和West在[4]、[5]中发展起来的思想。我们考虑一个有限维的线性算子T,它相对于给定的基有一个矩阵表示[T]。在没有歧义的情况下,我们通常将矩阵写成T,如果[T] ij≥0(∀i,j),则T≥0,而如果[T] ij > 0(∀i,j),则T > 0。T的谱和谱半径分别用σ(T)和r(T)表示。T的迹(其特征值之和)记为tr(T),外围频谱记为π(T) = {λ∈σ(T);|λ| = r(T)}。T相对于给定基的第i行和第j列写成row i (T)和col j (T), T的对角线记作diag(T)。T相对于π(T)的光谱投影写成P π。Smyth[5]引入了矩阵T≥0的子集层次。定义。(i) T > 0时T为正;(ii)对于某正整数k,当T k > 0时,T为原元;(iii)∀i,j∃是一个正整数k,使得[T k] ij > 0;(iv)对于某正整数k,当diag(tk) > 0时,T是有效的;(v)如果没有行或列为零,则T为零;(vi) T具有正的谱半径。
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Compact Semigroups of Positive Matrices
The spectral theory of compact monothetic semigroups of linear operators examined by Kaashoek and West in [1], [2] together with two block matrix theorems where the blocks are either strictly positive or zero are used to give an exposition of Perron-Frobenius theory of positive matrices. The approach in this paper is based on ideas of Smyth and West developed in [4], [5]. We consider a linear operator T in finite dimensions which has a matrix representation [T] relative to a given basis. Where there is no ambiguity we often write the matrix as T. T ≥ 0 if [T] ij ≥ 0 (∀ i,j) while T > 0 if [T] ij > 0 (∀ i,j). The spectrum and spectral radius of T will be denoted by σ(T) and r(T) respectively. The trace of T (the sum of its eigenvalues) will be written as tr(T), and the peripheral spectrum will be denoted by π(T) = {λ ∈ σ(T); |λ| = r(T)}. The i th row and j th column of T relative to the given basis will be written row i (T) and col j (T) and the diagonal of T will be denoted diag(T). The spectral projection of T relative to π(T) will be written P π. Smyth [5] has introduced a hierarchy of subsets of matrices T ≥ 0. Definitions. (i) T is positive if T > 0; (ii) T is primitive if T k > 0 for some positive integer k; (iii) T is connected if ∀ i,j ∃ a positive integer k such that [T k ] ij > 0; (iv) T is potent if diag(T k) > 0 for some positive integer k; (v) T is zero-free if no row or column is zero; (vi) T has positive spectral radius.
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