Edge-count threshold conjecture for rigidity in binomial random graphs

Let GG(n,p)G\sim G(n,p) be a binomial random graph, where G(n,p)G(n,p) contains each edge independently with probability pp. Write whp\textbf{whp} for “with high probability,” meaning with probability tending to 11 as nn\to\infty, and let dd be the rigidity dimension.

Random-graph rigidity conjecture. For every p=ω(logn/n)p=\omega(\log n/n), GG(n,p)G\sim G(n,p) is whp\textbf{whp} dd-rigid for

d=(1o(1))(11p)n.d=(1-o(1))(1-\sqrt{1-p})n.

This conjecture proposes that, once the logarithmic connectivity threshold is passed, the edge-count obstruction is asymptotically the bottleneck for rigidity. The paper establishes results only up to logarithmic factors, leaving the asserted sharp threshold open.

Sources & referencesView supporting material

Primary source

Michael Krivelevich, Alan Lew and Peleg Michaeli, “Rigid partitions: from high connectivity to random graphs”, arXiv:2311.14451 (2023).

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