{"title":"Graphs of order n with exactly \\(n+1\\) complementarity eigenvalues","authors":"S. Pirzada, Pawan Kumar, Merajuddin","doi":"10.1007/s00236-026-00527-0","DOIUrl":null,"url":null,"abstract":"<div><p>This work explores the complementarity spectrum <span>\\(\\Pi (G)\\)</span> of a graph <i>G</i>. Previous studies have established that for a graph of order <i>n</i>, the complementarity spectrum satisfies <span>\\(|\\Pi (G)| \\ge n\\)</span>, with equality holding only for elementary graphs. This implies that any non-elementary graph of order <i>n</i> has at least <span>\\(n+1\\)</span> distinct complementarity eigenvalues. In this article, we focus on connected graphs of order <i>n</i> that admit exactly <span>\\(n+1\\)</span> complementarity eigenvalues. We characterize this class by examining the structural features responsible for such spectral behavior. For instance, we show that any graph of sufficiently large order in this family induces exactly one subgraph of order <span>\\(n-1\\)</span> that also belongs to the same family. Furthermore, we demonstrate that graphs in this class are uniquely determined by their complementarity spectra, emphasizing the potential of complementarity eigenvalues in graph identification where traditional spectral methods may fall short.</p></div>","PeriodicalId":7189,"journal":{"name":"Acta Informatica","volume":"63 2","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2026-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Informatica","FirstCategoryId":"94","ListUrlMain":"https://link.springer.com/article/10.1007/s00236-026-00527-0","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This work explores the complementarity spectrum \(\Pi (G)\) of a graph G. Previous studies have established that for a graph of order n, the complementarity spectrum satisfies \(|\Pi (G)| \ge n\), with equality holding only for elementary graphs. This implies that any non-elementary graph of order n has at least \(n+1\) distinct complementarity eigenvalues. In this article, we focus on connected graphs of order n that admit exactly \(n+1\) complementarity eigenvalues. We characterize this class by examining the structural features responsible for such spectral behavior. For instance, we show that any graph of sufficiently large order in this family induces exactly one subgraph of order \(n-1\) that also belongs to the same family. Furthermore, we demonstrate that graphs in this class are uniquely determined by their complementarity spectra, emphasizing the potential of complementarity eigenvalues in graph identification where traditional spectral methods may fall short.
期刊介绍:
Acta Informatica provides international dissemination of articles on formal methods for the design and analysis of programs, computing systems and information structures, as well as related fields of Theoretical Computer Science such as Automata Theory, Logic in Computer Science, and Algorithmics.
Topics of interest include:
• semantics of programming languages
• models and modeling languages for concurrent, distributed, reactive and mobile systems
• models and modeling languages for timed, hybrid and probabilistic systems
• specification, program analysis and verification
• model checking and theorem proving
• modal, temporal, first- and higher-order logics, and their variants
• constraint logic, SAT/SMT-solving techniques
• theoretical aspects of databases, semi-structured data and finite model theory
• theoretical aspects of artificial intelligence, knowledge representation, description logic
• automata theory, formal languages, term and graph rewriting
• game-based models, synthesis
• type theory, typed calculi
• algebraic, coalgebraic and categorical methods
• formal aspects of performance, dependability and reliability analysis
• foundations of information and network security
• parallel, distributed and randomized algorithms
• design and analysis of algorithms
• foundations of network and communication protocols.