Spanning trees in random series-parallel graphs
Julia Ehrenm\"uller, Juanjo Ru\'e

TL;DR
This paper uses analytic techniques to estimate the expected number of spanning trees in random series-parallel graphs, providing explicit constants and extending results to various subfamilies.
Contribution
It introduces a precise asymptotic estimate for the expected number of spanning trees in random series-parallel graphs and related subfamilies, with computable constants.
Findings
Expected number of spanning trees follows an exponential decay with graph size
Constants for the asymptotic estimate are approximately s ≈ 0.09063 and ρ^{-1} ≈ 2.08415
Results extend to 2-connected series-parallel graphs, 2-trees, and fixed excess subfamilies
Abstract
By means of analytic techniques we show that the expected number of spanning trees in a connected labelled series-parallel graph on vertices chosen uniformly at random satisfies an estimate of the form , where and are computable constants, the values of which are approximately and . We obtain analogue results for subfamilies of series-parallel graphs including 2-connected series-parallel graphs, 2-trees, and series-parallel graphs with fixed excess.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Graph theory and applications · Topological and Geometric Data Analysis
