A sharp threshold for minimum bounded-depth and bounded-diameter spanning trees and Steiner trees in random networks |
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Authors: | Omer Angel Abraham D. Flaxman David B. Wilson |
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Affiliation: | 1. Department of Mathematics, University of British Columbia, Vancouver, BC, V6T 1Z2, Canada 2. Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Avenue, Suite 600, Seattle, WA, 98121, USA 3. One Microsoft Way, Redmond, WA, 98052, USA
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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 ζ(3) = 1/13 + 1/23 + 1/33 +… as n → ∞. We consider spanning trees constrained to have depth bounded by k from a specified root. We prove that if k ≥ log2 logn+ω(1), where ω(1) is any function going to ∞ with n, then the minimum bounded-depth spanning tree still has weight tending to ζ(3) as n → ∞, and that if k < log2 logn, then the weight is doubly-exponentially large in log2 logn ? k. It is NP-hard to find the minimum bounded-depth spanning tree, but when k≤log2 logn?ω(1), a simple greedy algorithm is asymptotically optimal, and when k ≥ log2 logn+ω(1), an algorithm which makes small changes to the minimum (unbounded depth) spanning tree is asymptotically optimal. We prove similar results for minimum bounded-depth Steiner trees, where the tree must connect a specified set of m vertices, and may or may not include other vertices. In particular, when m=const×n, if k≥log2 logn+ω(1), the minimum bounded-depth Steiner tree on the complete graph has asymptotically the same weight as the minimum Steiner tree, and if 1 ≤ k ≤ log2 logn?ω(1), the weight tends to $(1 - 2^{ - k} )sqrt {8m/n} left[ {sqrt {2mn} /2^k } right]^{1/(2^k - 1)}$ in both expectation and probability. The same results hold for minimum bounded-diameter Steiner trees when the diameter bound is 2k; when the diameter bound is increased from 2k to 2k+1, the minimum Steiner tree weight is reduced by a factor of $2^{1/(2^k - 1)}$ . |
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