Skip to content
DraconiticResearch
Search Sources API
178,970 studies31 sourcesUpdated 7 min ago
PreprintarXiv licencearXiv

Normal and Lognormal Asymptotics for Lattice-Point Counts in Random Translates of High-Dimensional Balls

Abstract

Let the center of a d-dimensional Euclidean ball be uniformly distributed modulo ℤd. We study the resulting number of integer lattice points as the dimension and radius tend to infinity. The critical scale is 4π2Rd2/(d+2)=log d. In a logarithmic window around this scale, the logarithm of the lattice-point count divided by the volume satisfies a central limit theorem. At a fixed offset from the critical scale this yields a genuine lognormal limit. Above the critical scale, the count-to-volume ratio converges to $1$ in measure; its normalized error has a standard normal limit, and its variance satisfies an asymptotic formula.

Related

  1. Asymptotics for partition functions of random normal matrix models with singularities
    Kohei Noda
    arXivPreprintCC BY 4.0Full textMathematical physicsProbabilityarXiv
  2. Analytic Combinatorics of Lattice Paths with Forbidden Patterns: Asymptotics Aspects and Borges's Theorem
    Andrei Asinowski, Axel Bacher, Cyril Banderier +1
    Leibniz International Proceedings in InformaticsPeer-reviewedCC BY 4.0Full textAnalysis & PDEsCombinatorics & discrete mathematicsHAL
  3. Asymptotics of linear normal lambda terms: WKB structure, Airy turning point and a positive recurrence
    Olivier Bodini
    HALPreprintCC BY 4.0Full textGeneral mathematicsHAL
  4. Finite- and long-range spin-wave free-energy asymptotics for the two-dimensional quantum Heisenberg ferromagnet
    Andreas Klippel
    arXivPreprintCC BY 4.0Full textMathematical physicsProbabilityarXiv
  5. Precise spectral asymptotics, exponential localization, and spectral gap estimates for the three-boson lattice Schrödinger operator
    Janikul Abdullaev, Abdumalik Eshniyozov, Abdikhurayra Toshturdiev +1
    arXivPreprintarXiv licenceFull textAnalysis & PDEsMathematical physicsarXiv
BibTeX
@misc{ji2026normal,
  title = {{Normal and Lognormal Asymptotics for Lattice-Point Counts in Random Translates of High-Dimensional Balls}},
  author = {Xin Hang Ji},
  howpublished = {arXiv},
  year = {2026},
  month = aug,
  doi = {10.48550/arxiv.2608.30810},
  eprint = {2608.30810},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2608.30810},
}
RIS
TY  - UNPB
TI  - Normal and Lognormal Asymptotics for Lattice-Point Counts in Random Translates of High-Dimensional Balls
AU  - Xin Hang Ji
PY  - 2026
DA  - 2026/08/31
PB  - arXiv
DO  - 10.48550/arxiv.2608.30810
UR  - https://arxiv.org/abs/2608.30810
AB  - Let the center of a d-dimensional Euclidean ball be uniformly distributed modulo ℤ^d. We study the resulting number of integer lattice points as the dimension and radius tend to infinity. The critical scale is 4π^2R_d^2/(d+2)=log d. In a logarithmic window around this scale, the logarithm of the lattice-point count divided by the volume satisfies a central limit theorem. At a fixed offset from the critical scale this yields a genuine lognormal limit. Above the critical scale, the count-to-volume ratio converges to $1$ in measure; its normalized error has a standard normal limit, and its variance satisfies an asymptotic formula.
ER  -