Skip to content
DraconiticResearch
Search Sources API
186,541 studies31 sourcesUpdated 30 min ago
Peer-reviewedCC BY-NC 4.0The Annals of Probability

Almost sharp sharpness for Poisson Boolean percolation

  1. 1IRMA, CNRS and Université de Strasbourg
  2. 2D-MATH, ETH Zürich

Abstract

We consider Poisson Boolean percolation on Rd with power-law distribution on the radius with a finite d-moment for d≥2. We prove that subcritical sharpness occurs for all but a countable number of power-law distributions. This extends the results of Duminil-Copin–Raoufi–Tassion (Ann. Henri Lebesgue 3 (2020) 677–700) where subcritical sharpness is proved under the assumption that the radii distribution has a 5d−3 finite moment. Our proofs techniques are different from (Ann. Henri Lebesgue 3 (2020) 677–700): we do not use a randomized algorithm and rely on specific independence properties of Boolean percolation, inherited from the underlying Poisson process. We also prove supercritical sharpness for any distribution with a finite d-moment and the continuity of the critical parameter for the truncated distribution when the truncation goes to infinity.

Related

  1. Almost every Boolean function has central threshold degree
    Martin Anthony
    arXivPreprintarXiv licenceFull textCombinatorics & discrete mathematicsarXiv
  2. A Sharp Fisher-Information Inequality for Boolean Pairs: Proof of the Amari--Kobayashi Conjecture
    Jun Chen, Shun Watanabe, Lei Yu
    arXivPreprintarXiv licenceFull textGeneral mathematicsarXiv
  3. Almost Sure Convergence Rates of Stochastic Approximation and Reinforcement Learning via a Poisson-Moreau Drift
    Xinyu Liu, Zixuan Xie, Shangtong Zhang
    arXivPreprintCC BY 4.0Full textOptimisation & controlStatisticsarXiv
  4. A sharp almost sure upper bound for partial sums of random multiplicative functions
    Benjamin Durkan, Andrew Pearce-Crump
    arXivPreprintCC BY 4.0Full textAlgebra & number theoryProbabilityarXiv
  5. Subspace Uncertainty and Sharp Sampling Thresholds on the Boolean Cube
    Thomas Weinberger
    arXivPreprintarXiv licenceFull textCombinatorics & discrete mathematicsProbabilityarXiv
BibTeX
@article{dembin2026almost,
  title = {{Almost sharp sharpness for Poisson Boolean percolation}},
  author = {Barbara Dembin and Vincent Tassion},
  journal = {The Annals of Probability},
  year = {2026},
  month = jun,
  doi = {10.1214/25-aop1771},
  url = {https://hal.science/hal-05826940v1},
  note = {CC BY-NC 4.0},
}
RIS
TY  - JOUR
TI  - Almost sharp sharpness for Poisson Boolean percolation
AU  - Barbara Dembin
AU  - Vincent Tassion
PY  - 2026
DA  - 2026/06/30
JO  - The Annals of Probability
DO  - 10.1214/25-aop1771
UR  - https://hal.science/hal-05826940v1
AB  - We consider Poisson Boolean percolation on Rd with power-law distribution on the radius with a finite d-moment for d≥2. We prove that subcritical sharpness occurs for all but a countable number of power-law distributions. This extends the results of Duminil-Copin–Raoufi–Tassion (Ann. Henri Lebesgue 3 (2020) 677–700) where subcritical sharpness is proved under the assumption that the radii distribution has a 5d−3 finite moment. Our proofs techniques are different from (Ann. Henri Lebesgue 3 (2020) 677–700): we do not use a randomized algorithm and rely on specific independence properties of Boolean percolation, inherited from the underlying Poisson process. We also prove supercritical sharpness for any distribution with a finite d-moment and the continuity of the critical parameter for the truncated distribution when the truncation goes to infinity.
SN  - 0091-1798
SN  - 2168-894X
ER  -