Graphs of order n with exactly \(n+1\) complementarity eigenvalues

IF 1.2 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
S. Pirzada, Pawan Kumar,  Merajuddin
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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.

Abstract Image

恰好具有\(n+1\)互补特征值的n阶图
本文研究了图g的互补谱\(\Pi (G)\),前人的研究已经证明,对于n阶图,互补谱满足\(|\Pi (G)| \ge n\),等式只对初等图成立。这意味着任何n阶的非初等图至少有\(n+1\)不同的互补特征值。在本文中,我们关注的是n阶的连通图,它完全允许\(n+1\)互补特征值。我们通过检查导致这种光谱行为的结构特征来描述这类。例如,我们证明了在这个族中任何一个足够大阶的图都能精确地推导出一个阶为\(n-1\)的子图,并且这个子图也属于同一个族。此外,我们证明了这类图是由它们的互补谱唯一决定的,强调了互补特征值在传统谱方法可能不足的图识别中的潜力。
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来源期刊
Acta Informatica
Acta Informatica 工程技术-计算机:信息系统
CiteScore
2.40
自引率
16.70%
发文量
24
审稿时长
>12 weeks
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.
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