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Main Authors: Zhang, Yuan, Han, Yutong, Xia, Yuanqing, Li, Aming
Format: Preprint
Published: 2026
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Online Access:https://arxiv.org/abs/2601.21710
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author Zhang, Yuan
Han, Yutong
Xia, Yuanqing
Li, Aming
author_facet Zhang, Yuan
Han, Yutong
Xia, Yuanqing
Li, Aming
contents Diagonalizability plays an important role in the analysis and design of multivariable systems. A structured matrix is called structurally diagonalizable if almost all of its numerical realizations, obtained by assigning real values to its free entries, are diagonalizable. Structural diagonalizability is useful for the verification and optimization of various structural system properties. In this paper, we study the asymptotic probability distribution of structural diagonalizability for structured systems whose system matrices are represented by directed Erdős-Rényi random graphs. Leveraging a recently established graph-theoretic characterization of structural diagonalizability, we analyze the distribution of structurally diagonalizable graphs under different edge-density regimes. For dense graphs, we prove that the system is almost always structurally diagonalizable. For graphs of medium density, we derive tight upper and lower bounds on the asymptotic probability of structural diagonalizability. For extremely sparse graphs, we show that this probability approaches 0. The theoretical results are validated through extensive numerical simulations with varying numbers of vertices and connection probabilities.
format Preprint
id arxiv_https___arxiv_org_abs_2601_21710
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle On Diagonalizable Systems with Random Structure
Zhang, Yuan
Han, Yutong
Xia, Yuanqing
Li, Aming
Optimization and Control
Diagonalizability plays an important role in the analysis and design of multivariable systems. A structured matrix is called structurally diagonalizable if almost all of its numerical realizations, obtained by assigning real values to its free entries, are diagonalizable. Structural diagonalizability is useful for the verification and optimization of various structural system properties. In this paper, we study the asymptotic probability distribution of structural diagonalizability for structured systems whose system matrices are represented by directed Erdős-Rényi random graphs. Leveraging a recently established graph-theoretic characterization of structural diagonalizability, we analyze the distribution of structurally diagonalizable graphs under different edge-density regimes. For dense graphs, we prove that the system is almost always structurally diagonalizable. For graphs of medium density, we derive tight upper and lower bounds on the asymptotic probability of structural diagonalizability. For extremely sparse graphs, we show that this probability approaches 0. The theoretical results are validated through extensive numerical simulations with varying numbers of vertices and connection probabilities.
title On Diagonalizable Systems with Random Structure
topic Optimization and Control
url https://arxiv.org/abs/2601.21710