English

Deviation probabilities for arithmetic progressions and irregular discrete structures

Combinatorics 2020-12-18 v1 Number Theory Probability

Abstract

Let the random variable X:=e(H[B])X\, :=\, e(\mathcal{H}[B]) count the number of edges of a hypergraph H\mathcal{H} induced by a random mm-element subset BB of its vertex set. Focussing on the case that the degrees of vertices in H\mathcal{H} vary significantly we prove bounds on the probability that XX is far from its mean. It is possible to apply these results to discrete structures such as the set of kk-term arithmetic progressions in the {1,,N}\{1,\dots, N\}. Furthermore, our main theorem allows us to deduce results for the case BBpB\sim B_p is generated by including each vertex independently with probability pp. In this setting our result on arithmetic progressions extends a result of Bhattacharya, Ganguly, Shao and Zhao \cite{BGSZ}. We also mention connections to related central limit theorems.

Keywords

Cite

@article{arxiv.2012.09280,
  title  = {Deviation probabilities for arithmetic progressions and irregular discrete structures},
  author = {Simon Griffiths and Christoph Koch and Matheus Secco},
  journal= {arXiv preprint arXiv:2012.09280},
  year   = {2020}
}