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Open Mathematics
Article . 2025 . Peer-reviewed
License: CC BY
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Open Mathematics
Article . 2025
Data sources: DOAJ
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š•®-inverse of graphs and mixed graphs

Authors: Alomari Omar; Abudayah Mohammad; Ghanem Manal;

š•®-inverse of graphs and mixed graphs

Abstract

Abstract This article introduces a generalization of the concept of inverse graphs applicable to both graphs and mixed graphs. Given a graph G G with adjacency matrix A ( G ) A\left(G) , the inverse graph G āˆ’ 1 {G}^{-1} is defined such that its adjacency matrix is similar to the inverse of A ( G ) A\left(G) through a diagonal matrix with entries of ± 1 \pm 1 . While this diagonal matrix may or may not exist for graphs with nonsingular adjacency matrices, our study extends the concept to include mixed graphs as well. It has been proven that for certain unicyclic graphs, such a diagonal matrix does not exist. Motivated by this, we generalized the definition of inverse graphs to include mixed graphs, allowing us to find inverse mixed graphs for a class previously shown to lack one.

Keywords

bipartite mixed graphs, perfect matching, mixed graphs, QA1-939, α-hermitian adjacency matrix, inverse matrix, 05c50, Mathematics, unicyclic bipartite mixed graphs, 05c20

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold