The additive-multiplicative distance matrix of a graph, and a novel third invariant
Projesh Nath Choudhury, Apoorva Khare

TL;DR
This paper introduces a unified additive-multiplicative distance matrix for strongly connected graphs, defines a new invariant, and derives comprehensive identities and formulas for determinants, cofactors, and inverses that generalize previous results.
Contribution
It develops a general additive-multiplicative distance matrix framework, introduces a novel invariant, and extends Graham-Hoffman-Hosoya identities to all strongly connected graphs.
Findings
Introduces the additive-multiplicative distance matrix for strongly connected graphs.
Defines a new invariant ppa(D_G) that generalizes previous concepts.
Provides closed-form formulas for et(D_G), cof(D_G), _G^{-1} for various graph classes.
Abstract
Graham showed with Pollak and Hoffman-Hosoya that for any directed graph with strong blocks , the determinant and cofactor-sum of the distance matrix can be computed from the same quantities for the blocks . This was extended to trees - and in our recent work to any graph - with multiplicative and -distance matrices. For trees, we went further and unified all previous variants with weights in a unital commutative ring, into a distance matrix with additive and multiplicative edge-data. In this work: (1) We introduce the additive-multiplicative distance matrix of every strongly connected graph , using what we term the additive-multiplicative block-datum . This subsumes the previously studied additive, multiplicative, and -distances for all graphs. (2) We introduce an invariant that seems novel to date,…
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Taxonomy
TopicsGraph theory and applications · Complex Network Analysis Techniques · Graph Labeling and Dimension Problems
