
arXiv: 1906.01533
AbstractIn a complete graphwith independent uniform(or exponential) edge weights, letbe the minimum‐weight spanning tree (MST), andthe MST after deleting the edges of all previous trees. We show that each tree's weightconverges in probability to a constant, with, and we conjecture that. The problem is distinct from Frieze and Johansson's minimum combined weightofkedge‐disjoint spanning trees; indeed,. With an edge of weightw“arriving” at time, Kruskal's algorithm defines forests, initially empty and eventually equal to, each edge added to the first possible. Using tools of inhomogeneous random graphs we obtain structural results including that the fraction of vertices in the largest component ofconverges to some. We conjecture that the functionstend to time translations of a single function.
inhomogeneous random graph, miminum spanning tree, functional fixed point, robust optimization, Probabilistic methods in extremal combinatorics, including polynomial methods (combinatorial Nullstellensatz, etc.), second-cheapest structure, minimum spanning tree, 510, Trees, Signed and weighted graphs, FOS: Mathematics, Mathematics - Combinatorics, 05C80, 60C05, 05C22, 68W40, Kruskal’s algorithm, Combinatorial probability, Probability (math.PR), 004, multi-type branching process, Kruskal's algorithm, discrete probability, Combinatorics (math.CO), optimization in random structures, Mathematics - Probability, ddc: ddc:004
inhomogeneous random graph, miminum spanning tree, functional fixed point, robust optimization, Probabilistic methods in extremal combinatorics, including polynomial methods (combinatorial Nullstellensatz, etc.), second-cheapest structure, minimum spanning tree, 510, Trees, Signed and weighted graphs, FOS: Mathematics, Mathematics - Combinatorics, 05C80, 60C05, 05C22, 68W40, Kruskal’s algorithm, Combinatorial probability, Probability (math.PR), 004, multi-type branching process, Kruskal's algorithm, discrete probability, Combinatorics (math.CO), optimization in random structures, Mathematics - Probability, ddc: ddc:004
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