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Reconstructing random graphs from distance queries

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arxiv 2404.18318 v2 pith:FHEIKLTD submitted 2024-04-28 math.CO

classification math.CO
keywords randomcomplexitydiameterdistancegraphhighprobabilityqueries
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abstract

We estimate the minimum number of distance queries that is sufficient to reconstruct the binomial random graph $G(n,p)$ with constant diameter with high probability. We get a tight (up to a constant factor) answer for all $p>n^{-1+o(1)}$ outside "threshold windows" around $n^{-k/(k+1)+o(1)}$, $k\in\mathbb{Z}_{>0}$: with high probability the query complexity equals $\Theta(n^{4-d}p^{2-d})$, where $d$ is the diameter of the random graph. This demonstrates the following non-monotone behaviour: the query complexity jumps down at moments when the diameter gets larger; yet, between these moments the query complexity grows. We also show that there exists a non-adaptive algorithm that reconstructs the random graph with $O(n^{4-d}p^{2-d}\ln n)$ distance queries with high probability, and this is best possible.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Complexity of learning matchings and half graphs via edge queries

    cs.CC 2025-07 conditional novelty 6.0 of 10

    Tight edge-query bounds are proven for learning matchings (deterministic n(n-1)/2, randomized Θ(n^2)) and half graphs (Θ(n log n) classically for column-permuted, Θ(n log n) quantum in general), with half-graph learni...

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