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PreprintCC BY-NC-SA 4.0arXiv

The Scaling Window of Random k-SAT

Abstract

We prove a general upper bound for scaling windows of sparse monotone covering problems. From that, we deduce that for every fixed value k≥ 3, the window of random k-SAT is O(n/log n), improving the Friedgut-Bourgain bound of O(n/loglog n). We also show that random signed Not-All-Equal-k-SAT and hypergraph non-two-colourability (Property B) have windows of the same order. Our upper bound for scaling windows of sparse monotone covering problems follows from a general strategy combining the strengthening of Bourgain's sharp threshold theorem by Keevash, Lifshitz, Long, and Minzer with a local-to-random replacement principle. This provides a systematic method for proving scaling-window bounds, addressing a question of Perkins.

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BibTeX
@misc{carenini2026scaling,
  title = {{The Scaling Window of Random $k$-SAT}},
  author = {Gaia Carenini},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.26222},
  eprint = {2609.26222},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.26222},
  note = {CC BY-NC-SA 4.0},
}
RIS
TY  - UNPB
TI  - The Scaling Window of Random k-SAT
AU  - Gaia Carenini
PY  - 2026
DA  - 2026/09/01
PB  - arXiv
DO  - 10.48550/arxiv.2609.26222
UR  - https://arxiv.org/abs/2609.26222
AB  - We prove a general upper bound for scaling windows of sparse monotone covering problems. From that, we deduce that for every fixed value k≥ 3, the window of random k-SAT is O(n/log n), improving the Friedgut-Bourgain bound of O(n/loglog n). We also show that random signed Not-All-Equal-k-SAT and hypergraph non-two-colourability (Property B) have windows of the same order. Our upper bound for scaling windows of sparse monotone covering problems follows from a general strategy combining the strengthening of Bourgain's sharp threshold theorem by Keevash, Lifshitz, Long, and Minzer with a local-to-random replacement principle. This provides a systematic method for proving scaling-window bounds, addressing a question of Perkins.
ER  -