On low-discrepancy sequences and Poissonian pair correlation

@misc{porath2026lowdiscrepancy,
  title = {{On low-discrepancy sequences and Poissonian pair correlation}},
  author = {Hannah Porath},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.21689},
  eprint = {2609.21689},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.21689},
  note = {CC BY-NC-SA 4.0},
}

TY  - UNPB
TI  - On low-discrepancy sequences and Poissonian pair correlation
AU  - Hannah Porath
PY  - 2026
DA  - 2026/09/18
PB  - arXiv
DO  - 10.48550/arxiv.2609.21689
UR  - https://arxiv.org/abs/2609.21689
AB  - Uniform distribution modulo 1 is a classical notion of pseudo-randomness for sequences in the unit interval, which is quantified in terms of the discrepancy. Sequences whose discrepancy is of the smallest possible asymptotic order are called low-discrepancy sequences. The Poissonian pair correlation is another notion of pseudo-randomness, which studies the distribution of the gaps between pairs of elements of the sequence on a local scale. It is known that Poissonian pair correlation implies uniform distribution mod 1, and that the opposite implication is not true in general. It has also been observed that classical examples of low-discrepancy sequences fail to have Poissonian pair correlation, and it has been speculated that the two properties might be irreconcilable due to the high degree of structural rigidity that is required for low-discrepancy behavior. As we prove in this paper, this is not the case: we construct an example of a low-discrepancy sequence with Poissonian pair correlation.
ER  -