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Random minimum spanning tree and dense graph limits

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arxiv 2310.11705 v3 pith:OD7QXZZN submitted 2023-10-18 math.CO math.PR

classification math.COmath.PR
keywords minimumspanningtreeedgesgraphgraphsrandomtotal
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abstract

A theorem of Frieze from 1985 asserts that the total weight of the minimum spanning tree of the complete graph $K_n$ whose edges get independent weights from the distribution $UNIFORM[0,1]$ converges to Ap\'ery's constant in probability, as $n\to\infty$. We generalize this result to sequences of graphs $G_n$ that converge to a graphon $W$. Further, we allow the weights of the edges to be drawn from different distributions (subject to moderate conditions). The limiting total weight $\kappa(W)$ of the minimum spanning tree is expressed in terms of a certain branching process defined on $W$, which was studied previously by Bollob\'as, Janson and Riordan in connection with the giant component in inhomogeneous random graphs.

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  1. Functional Central limit theorems for microscopic and macroscopic functionals of inhomogeneous random graphs

    math.PR 2024-12 conditional novelty 7.0 of 10

    For finite-type inhomogeneous random graphs, component-density fluctuations converge to a Gaussian process solving an explicit infinite-dimensional SDE, yielding CLTs for the giant component and MST weight.

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