{"title":"Generating all regular rational orthogonal matrices","authors":"Quanyu Tang , Wei Wang , Hao Zhang","doi":"10.1016/j.laa.2025.06.008","DOIUrl":null,"url":null,"abstract":"<div><div>A <em>rational orthogonal matrix Q</em> is an orthogonal matrix with rational entries, and <em>Q</em> is called <em>regular</em> if each of its row sum equals one, i.e., <span><math><mi>Q</mi><mi>e</mi><mo>=</mo><mi>e</mi></math></span> where <em>e</em> is the all-one vector. This paper presents a method for generating all regular rational orthogonal matrices using the classic Cayley transformation. Specifically, we demonstrate that for any regular rational orthogonal matrix <em>Q</em>, there exists a permutation matrix <em>P</em> such that <em>QP</em> does not possess an eigenvalue of −1. Consequently, <em>Q</em> can be expressed in the form <span><math><mi>Q</mi><mo>=</mo><msup><mrow><mo>(</mo><msub><mrow><mi>I</mi></mrow><mrow><mi>n</mi></mrow></msub><mo>+</mo><mi>S</mi><mo>)</mo></mrow><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo>(</mo><msub><mrow><mi>I</mi></mrow><mrow><mi>n</mi></mrow></msub><mo>−</mo><mi>S</mi><mo>)</mo><mi>P</mi></math></span>, where <span><math><msub><mrow><mi>I</mi></mrow><mrow><mi>n</mi></mrow></msub></math></span> is the identity matrix of order <em>n</em>, <em>S</em> is a rational skew-symmetric matrix satisfying <span><math><mi>S</mi><mi>e</mi><mo>=</mo><mn>0</mn></math></span>, and <em>P</em> is a permutation matrix. Central to our approach is a pivotal intermediate result, which is of independent interest: given a square matrix <em>M</em>, then <em>MP</em> has −1 as an eigenvalue for every permutation matrix <em>P</em> if and only if either every row sum of <em>M</em> is −1 or every column sum of <em>M</em> is −1.</div></div>","PeriodicalId":18043,"journal":{"name":"Linear Algebra and its Applications","volume":"724 ","pages":"Pages 12-20"},"PeriodicalIF":1.0000,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Linear Algebra and its Applications","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0024379525002605","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS","Score":null,"Total":0}
引用次数: 0
Abstract
A rational orthogonal matrix Q is an orthogonal matrix with rational entries, and Q is called regular if each of its row sum equals one, i.e., where e is the all-one vector. This paper presents a method for generating all regular rational orthogonal matrices using the classic Cayley transformation. Specifically, we demonstrate that for any regular rational orthogonal matrix Q, there exists a permutation matrix P such that QP does not possess an eigenvalue of −1. Consequently, Q can be expressed in the form , where is the identity matrix of order n, S is a rational skew-symmetric matrix satisfying , and P is a permutation matrix. Central to our approach is a pivotal intermediate result, which is of independent interest: given a square matrix M, then MP has −1 as an eigenvalue for every permutation matrix P if and only if either every row sum of M is −1 or every column sum of M is −1.
期刊介绍:
Linear Algebra and its Applications publishes articles that contribute new information or new insights to matrix theory and finite dimensional linear algebra in their algebraic, arithmetic, combinatorial, geometric, or numerical aspects. It also publishes articles that give significant applications of matrix theory or linear algebra to other branches of mathematics and to other sciences. Articles that provide new information or perspectives on the historical development of matrix theory and linear algebra are also welcome. Expository articles which can serve as an introduction to a subject for workers in related areas and which bring one to the frontiers of research are encouraged. Reviews of books are published occasionally as are conference reports that provide an historical record of major meetings on matrix theory and linear algebra.