Dense spectral finiteness for constrained matrix tuples

About 13 years old · traced to

Let A∈{0,1}K×K\mathbb{A}\in\{0,1\}^{K\times K} be any matrix, and let

MKd×d={A=(A1,…,AK)∣Ak∈Rd×d for 1≤k≤K and ρ(A,A)=1}\mathscr{M}_K^{d\times d}=\left\{\boldsymbol{A}=(A_1,\dotsc,A_K)\mid A_k\in\mathbb{R}^{d\times d}\textrm{ for }1\leq k\leq K\textrm{ and }\boldsymbol{\rho}(\boldsymbol{A},\mathbb{A})=1\right\}

with its natural subspace topology. Here spectral finiteness restricted to A\mathbb{A} means that the joint spectral radius is attained by a periodic product allowed by the transition matrix A\mathbb{A}. Dense Spectral Finiteness conjecture. The elements A∈MKd×d\boldsymbol{A}\in\mathscr{M}_K^{d\times d} having spectral finiteness restricted to A\mathbb{A} should be dense in MKd×d\mathscr{M}_K^{d\times d}. This proposes that constrained spectral finiteness is a generic approximation property on the normalized space of matrix tuples. The statement is posed as an open question; the supplied text gives no resolution.

References

Primary source

Xiongping Dai, “Robust periodic stability implies uniform exponential stability of Markovian jump linear systems and random linear ordinary differential equations”, arXiv:1307.4209 (2013).

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