A sharp threshold for minimum bounded-depth and bounded-diameter spanning trees and Steiner trees in random networks
Omer Angel, Abraham D. Flaxman, and David B. Wilson

TL;DR
This paper establishes a sharp threshold for the weight of minimum bounded-depth and bounded-diameter spanning and Steiner trees in random complete graphs with exponential edge weights, revealing phase transitions at log log n.
Contribution
It proves the asymptotic behavior of minimum bounded-depth Steiner trees and spanning trees, identifying thresholds and optimal algorithms for different regimes.
Findings
For k > log_2 log n + omega(1), the weight tends to zeta(3).
For k < log_2 log n, the weight becomes doubly-exponentially large.
Simple greedy algorithms are asymptotically optimal when k is below the threshold.
Abstract
In the complete graph on n vertices, when each edge has a weight which is an exponential random variable, Frieze proved that the minimum spanning tree has weight tending to zeta(3)=1/1^3+1/2^3+1/3^3+... as n goes to infinity. We consider spanning trees constrained to have depth bounded by k from a specified root. We prove that if k > log_2 log n+omega(1), where omega(1) is any function going to infinity with n, then the minimum bounded-depth spanning tree still has weight tending to zeta(3) as n -> infinity, and that if k < log_2 log n, then the weight is doubly-exponentially large in log_2 log n - k. It is NP-hard to find the minimum bounded-depth spanning tree, but when k < log_2 log n - omega(1), a simple greedy algorithm is asymptotically optimal, and when k > log_2 log n+omega(1), an algorithm which makes small changes to the minimum (unbounded depth) spanning tree is…
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