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引用次数: 2
摘要
设A是一个实数(n\ * n)矩阵。分段线性方程组$z- a \vert z\vert =b$称为绝对值方程(AVE)。众所周知,对于所有$b\in\mathbb R^n$是唯一可解的,当且仅当一个称为$ a $的符号实谱半径的量小于1。我们构造一个类似于符号实谱半径的量,我们称之为对准谱半径$\rho^a$ ($ a$)。我们证明了AVE具有映射度$1$,因此如果$A$的对准谱半径小于1,则所有$b\in\mathbb R^n$都有奇数个解。在$A$的温和泛型假设下,我们还设法证明了一个相反的结果。研究了对准光谱半径的结构特性。由于AVE与线性互补问题的等价性,我们研究的一个副作用是$Q$-矩阵的新的充要条件。
Generalized Perron Roots and Solvability of the Absolute Value Equation
Let $A$ be a real $(n\times n)$-matrix. The piecewise linear equation system $z-A\vert z\vert =b$ is called an absolute value equation (AVE). It is well known to be uniquely solvable for all $b\in\mathbb R^n$ if and only if a quantity called the sign-real spectral radius of $A$ is smaller than one. We construct a quantity similar to the sign-real spectral radius that we call the aligning spectral radius $\rho^a$ of $A$. We prove that the AVE has mapping degree $1$ and thus an odd number of solutions for all $b\in\mathbb R^n$ if the aligning spectral radius of $A$ is smaller than one. Under mild genericity assumptions on $A$ we also manage to prove a converse result. Structural properties of the aligning spectral radius are investigated. Due to the equivalence of the AVE to the linear complementarity problem, a side effect of our investigation are new sufficient and necessary conditions for $Q$-matrices.
期刊介绍:
The SIAM Journal on Matrix Analysis and Applications contains research articles in matrix analysis and its applications and papers of interest to the numerical linear algebra community. Applications include such areas as signal processing, systems and control theory, statistics, Markov chains, and mathematical biology. Also contains papers that are of a theoretical nature but have a possible impact on applications.