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arXiv 1809.02404math.DSmath.GRmath.PR
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联合频谱

The joint spectrum

Emmanuel Breuillard, Cagri Sert

摘要:

我们引入了矩阵紧集$S \subset GL_d(\mathbb{C})$的\emph{joint spectrum}的概念,它是联合谱半径的多维推广。我们从彻底研究它的性质开始(在各种假设下:不可约,Zakirki密度,支配)。联合谱半径的几个经典性质,在此广义设置和类似的Lagarias-Wang有限性猜想进行了讨论。然后将联合谱与矩阵值随机过程联系起来,研究了联合谱中哪些点可以作为李雅普诺夫向量来实现。我们还展示了如何联合频谱编码还原组上的所有字度量。并给出了具体的算例。

英文摘要:

We introduce the notion of \emph{joint spectrum} of a compact set of matrices $S \subset GL_d(\mathbb{C})$, which is a multi-dimensional generalization of the joint spectral radius. We begin with a thorough study of its properties (under various assumptions: irreducibility, Zariski-density, domination). Several classical properties of the joint spectral radius are shown to hold in this generalized setting and an analogue of the Lagarias-Wang finiteness conjecture is discussed. Then we relate the joint spectrum to matrix valued random processes and study what points of it can be realized as Lyapunov vectors. We also show how the joint spectrum encodes all word metrics on reductive groups. Several examples are worked out in detail.

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