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On the Stability of the Independence Number in Random Distance Graphs

Abstract

We consider a random subgraph Gp(n,r,<s) of the complete distance graph G(n,r,<s) whose vertices are the r-element subsets of the set {1,…,n} and whose edges join pairs of subsets that intersect in fewer than s elements; each edge survives independently of the others with probability p. The independence number of the graph G(n,r,<s) equals Cn−sr−s -- this is the classical Erdos-Ko-Rado theorem. We prove that, for r=r(n)→∞, s=s(n)→∞, s=o(r), r2=o(n) and p≥ 16 sr2ln(n/r)/n, with probability tending to 1 the independence number of the random graph Gp(n,r,<s) also equals Cn−sr−s, i.e., the Erdos-Ko-Rado result is stable under random sparsification of the graph. Thereby, in the range of parameters s→∞, s=o(r), a recent result of Raigorodskii and Karas is strengthened: the lower bound on the probability p that guarantees stability is lowered by a factor of about r/s.

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BibTeX
@misc{pokhachevskiy2026stability,
  title = {{On the Stability of the Independence Number in Random Distance Graphs}},
  author = {Vsevolod A. Pokhachevskiy and Andrei Raigorodskii},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.08897},
  eprint = {2609.08897},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.08897},
}
RIS
TY  - UNPB
TI  - On the Stability of the Independence Number in Random Distance Graphs
AU  - Vsevolod A. Pokhachevskiy
AU  - Andrei Raigorodskii
PY  - 2026
DA  - 2026/09/08
PB  - arXiv
DO  - 10.48550/arxiv.2609.08897
UR  - https://arxiv.org/abs/2609.08897
AB  - We consider a random subgraph G_p(n,r,<s) of the complete distance graph G(n,r,<s) whose vertices are the r-element subsets of the set {1,…,n} and whose edges join pairs of subsets that intersect in fewer than s elements; each edge survives independently of the others with probability p. The independence number of the graph G(n,r,<s) equals C_n−s^r−s -- this is the classical Erdos-Ko-Rado theorem. We prove that, for r=r(n)→∞, s=s(n)→∞, s=o(r), r^2=o(n) and p≥ 16 sr^2ln(n/r)/n, with probability tending to 1 the independence number of the random graph G_p(n,r,<s) also equals C_n−s^r−s, i.e., the Erdos-Ko-Rado result is stable under random sparsification of the graph. Thereby, in the range of parameters s→∞, s=o(r), a recent result of Raigorodskii and Karas is strengthened: the lower bound on the probability p that guarantees stability is lowered by a factor of about r/s.
ER  -