The spectral conjecture for detection in random geometric graphs
The spectral conjecture for detection in random geometric graphs
Let be latent points on the sphere, and let
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
Equivalently, the detectable regime should satisfy , while the undetectable regime should satisfy .
The conjecture is motivated by both the signed triangle statistic and the Kullback–Leibler expansion, where 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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