Bounds for the Largest Eigenvalue of the Generalized Atom-Bond Connectivity Matrix of a Graph

Kianoosh Hayati; Farzad Shaveisi

doi:10.1142/s1793830925501174

August 8, 2025Discrete Mathematics Algorithms and Applications

Bounds for the Largest Eigenvalue of the Generalized Atom-Bond Connectivity Matrix of a Graph

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Key Points

The study reveals bounds for the largest eigenvalue, crucial for understanding graph properties.
Key evidence suggests significant implications of the eigenvalue for graph connectivity features.
The approach uses theoretical analysis of the generalized atom-bond connectivity matrix.
This highlights the importance of eigenvalue bounds in graph theory and their applications.

Implication

The analysis finds bounds for the largest eigenvalue in graphs, indicating key connectivity features.

Abstract

Discrete Mathematics, Algorithms and ApplicationsAccepted Papers No AccessBounds for the Largest Eigenvalue of the Generalized Atom-Bond Connectivity Matrix of a GraphKianoosh Hayati and Farzad ShaveisiKianoosh Hayati and Farzad Shaveisihttps://orcid.org/0000-0001-9138-6321 Search for more papers by this author https://doi.org/10.1142/S1793830925501174Cited by:0 (Source: Crossref) PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail FiguresReferencesRelatedDetails Recommended Accepted Papers Metrics History Received 2 January 2025 Accepted 3 August 2025 PDF download

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Cite This Study

Hayati et al. (2025) studied this question.

synapsesocial.com/papers/68c1c62f54b1d3bfb60f1d96 https://doi.org/10.1142/s1793830925501174

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Bounds for the Largest Eigenvalue of the Generalized Atom-Bond Connectivity Matrix of a Graph

Key Points

Implication

Abstract

Discussion

Cite This Study

Bounds for the Largest Eigenvalue of the Generalized Atom-Bond Connectivity Matrix of a Graph

Key Points

Implication

Abstract

Discussion

Cite This Study

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