English

Irreducibility of random polynomials: general measures

Number Theory 2023-08-16 v3 Probability

Abstract

Let μ\mu be a probability measure on Z\mathbb{Z} that is not a Dirac mass and that has finite support. We prove that if the coefficients of a monic polynomial f(x)Z[x]f(x)\in\mathbb{Z}[x] of degree nn are chosen independently at random according to μ\mu while ensuring that f(0)0f(0)\neq0, then there is a positive constant θ=θ(μ)\theta=\theta(\mu) such that f(x)f(x) has no divisors of degree θn\le \theta n with probability that tends to 1 as nn\to\infty. Furthermore, in certain cases, we show that a random polynomial f(x)f(x) with f(0)0f(0)\neq0 is irreducible with probability tending to 1 as nn\to\infty. In particular, this is the case if μ\mu is the uniform measure on a set of at least 35 consecutive integers, or on a subset of [H,H]Z[-H,H]\cap\mathbb{Z} of cardinality H4/5(logH)2\ge H^{4/5}(\log H)^2 with HH sufficiently large. In addition, in all of these settings, we show that the Galois group of f(x)f(x) is either An\mathcal{A}_n or Sn\mathcal{S}_n with high probability. Finally, when μ\mu is the uniform measure on a finite arithmetic progression of at least two elements, we prove a random polynomial f(x)f(x) as above is irreducible with probability δ\ge\delta for some constant δ=δ(μ)>0\delta=\delta(\mu)>0. In fact, if the arithmetic progression has step 1, we prove the stronger result that the Galois group of f(x)f(x) is An\mathcal{A}_n or Sn\mathcal{S}_n with probability δ\ge\delta.

Keywords

Cite

@article{arxiv.2007.14567,
  title  = {Irreducibility of random polynomials: general measures},
  author = {Lior Bary-Soroker and Dimitris Koukoulopoulos and Gady Kozma},
  journal= {arXiv preprint arXiv:2007.14567},
  year   = {2023}
}

Comments

65 pages. Minor corrections. Final version, to apper in Inventiones Mathematicae

R2 v1 2026-06-23T17:28:55.743Z