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arxiv: 1808.03932 · v1 · pith:2GFUZ2I6new · submitted 2018-08-12 · 🧮 math.CO · math.RA

PC-polynomial of graph

classification 🧮 math.CO math.RA
keywords betapolynomialgraphgraphsrandomrootsvaluegrowth
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We define $PC$-polynomial of graph which is related to clique, (in)dependence and matching polynomials. The growth rate of partially commutative monoid is equal to the largest root $\beta(G)$ of $PC$-polynomial of the corresponding graph. The random algebra is defined in such way that its growth rate equals the largest root of $PC$-polynomial of random graph. We prove that for almost all graphs all sufficiently large real roots of $PC$-polynomial lie in neighbourhoods of roots of $PC$-polynomial of random graph. We show how to calculate the series expansions of the latter roots. The average value of $\beta(G)$ over all graphs with the same number of vertices is computed. We found the graphs on which the maximal value of $\beta(G)$ with fixed numbers of vertices and edges is reached. From this, we derive the upper bound of $\beta(G)$. Modulo one assumption, we do the same for minimal value of $\beta(G)$. We study the Nordhaus---Gaddum bounds of $\beta(G)+\beta(\bar{G})$ and $\beta(G)\beta(\bar{G})$.

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