The spectral conjecture for detection in random geometric graphs

Let obreakx1,obreak,obreakxn obreak\boldsymbol{x}_1, obreak\ldots, obreak\boldsymbol{x}_n be latent points on the sphere, and let

bethenormalizedkerneloperatoronthesphereassociatedwiththerandomgeometricgraph(RGG)kernel.Writebe the normalized kernel operator on the sphere associated with the random geometric graph (RGG) kernel. Write

for the trace of the cube of this operator.

Spectral detection conjecture. The sharp threshold for distinguishing the RGG from its Erdős–Rényi counterpart is determined by

n3tr2(κ3)=1.n^3\operatorname{tr}^2(\kappa^3)=1.

Equivalently, the detectable regime should satisfy n3tr2(κ3)1n^3\operatorname{tr}^2(\kappa^3)\gg1, while the undetectable regime should satisfy n3tr2(κ3)1n^3\operatorname{tr}^2(\kappa^3)\ll1.

The conjecture is motivated by both the signed triangle statistic and the Kullback–Leibler expansion, where tr(κ3)\operatorname{tr}(\kappa^3) arises naturally. It unifies the conjectured threshold for hard RGGs with the proved thresholds for several smooth-kernel models, but the general sharp characterization remains open.

Sources & referencesView supporting material

Primary source

Cheng Mao, Yihong Wu and Jiaming Xu, “Random geometric graphs with smooth kernels: sharp detection threshold and a spectral conjecture”, arXiv:2602.14998 (2026).

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