Alon–Hefetz–Krivelevich–Tyomkyn superlinear sparsity conjecture
Alon–Hefetz–Krivelevich–Tyomkyn superlinear sparsity conjecture
For an -vertex graph , let be the number of edges induced by a uniformly random -vertex subset of . Define
and
Alon–Hefetz–Krivelevich–Tyomkyn's superlinear sparsity conjecture. For all satisfying
we have
This predicts asymptotic anticoncentration whenever both the number of induced edges and the number of nonedges grow superlinearly in . Its status is not resolved in the supplied text.
Sources & referencesView supporting material
Primary source
Matthew Kwan, Benny Sudakov and Tuan Tran, “Anticoncentration for subgraph statistics”, arXiv:1807.05202 (2018).
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