{"title":"The spectral reconstruction problem revisited","authors":"Weifang Lv , Wei Wang , Wei Wang , Hao Zhang","doi":"10.1016/j.laa.2025.09.020","DOIUrl":null,"url":null,"abstract":"<div><div>This paper focuses on the following spectral reconstruction problem: Can a graph be uniquely determined (up to isomorphism) by the collection of its spectrum and the spectra of its vertex-deleted graphs? We say two graphs are <em>hyper-cospectral</em> if they share identical spectrum and identical spectra for their vertex-deleted subgraphs. A graph <em>G</em> is <em>spectrally reconstructible</em> (SRC for short) if any graph <em>H</em> that is hyper-cospectral with <em>G</em> is also isomorphic to <em>G</em>. Tutte <span><span>[13]</span></span> showed that graphs with irreducible characteristic polynomials are SRC. We aim to extend this result to a larger family of graphs known as controllable graphs. Since not all controllable graphs are SRC, we address the problem: Which controllable graphs are SRC? We provide a proof for a family of controllable bipartite graphs whose characteristic polynomials have exactly two irreducible factors. Moreover, we demonstrate that for a non-controllable graph <em>G</em> with a characteristic polynomial having exactly two irreducible factors, if a hyper-cospectral graph exists, then their complements are also hyper-cospectral. In addition, we also present an algorithm for determining the spectral reconstructibility of graphs whose characteristic polynomials split into exactly two irreducible factors, as well as for finding their hyper-cospectral mates when they exist. Some examples are also provided to illustrate our results.</div></div>","PeriodicalId":18043,"journal":{"name":"Linear Algebra and its Applications","volume":"729 ","pages":"Pages 1-23"},"PeriodicalIF":1.1000,"publicationDate":"2025-09-29","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/S0024379525003933","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
This paper focuses on the following spectral reconstruction problem: Can a graph be uniquely determined (up to isomorphism) by the collection of its spectrum and the spectra of its vertex-deleted graphs? We say two graphs are hyper-cospectral if they share identical spectrum and identical spectra for their vertex-deleted subgraphs. A graph G is spectrally reconstructible (SRC for short) if any graph H that is hyper-cospectral with G is also isomorphic to G. Tutte [13] showed that graphs with irreducible characteristic polynomials are SRC. We aim to extend this result to a larger family of graphs known as controllable graphs. Since not all controllable graphs are SRC, we address the problem: Which controllable graphs are SRC? We provide a proof for a family of controllable bipartite graphs whose characteristic polynomials have exactly two irreducible factors. Moreover, we demonstrate that for a non-controllable graph G with a characteristic polynomial having exactly two irreducible factors, if a hyper-cospectral graph exists, then their complements are also hyper-cospectral. In addition, we also present an algorithm for determining the spectral reconstructibility of graphs whose characteristic polynomials split into exactly two irreducible factors, as well as for finding their hyper-cospectral mates when they exist. Some examples are also provided to illustrate our results.
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.