Edge-count threshold conjecture for rigidity in binomial random graphs

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Let G∼G(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 n→∞n\to\infty, and let dd be the rigidity dimension.

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

d=(1−o(1))(1−1−p)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.

References

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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