Table of Contents
Fetching ...

A random polynomial with multiplicative coefficients is almost surely irreducible

Péter P. Varjú, Max Wenqiang Xu

TL;DR

The paper proves that, under the assumption that the Riemann hypothesis holds for Dedekind zeta functions, a random polynomial with multiplicative coefficients drawn from dependent $\pm1$ variables is irreducible over $\mathbb{Z}$ with probability $1- O(d^{-1/2+\varepsilon})$. The authors adapt the BV19 strategy by linking irreducibility to the average number of roots in random finite fields and establishing equidistribution of the polynomial’s values $P(a)$ for most residues $a$ via conditioning on small primes and exploiting many disjoint arithmetic progressions among primes. They develop a robust equidistribution framework for sums of the form $\sum X_i a^i$ in $\mathbb{F}_q$, extend it to the pair $(P(a),P'(a))$, and deduce tight control on the expected number of roots and double roots, which then yields irreducibility with high probability and a bound on the possibility of the polynomial being a proper power. The results contribute to understanding irreducibility in models with dependent coefficients and connect number-theoretic distribution results (via RH for zeta functions and GS-type L-function assumptions) to probabilistic polynomial irreducibility phenomena, with corollaries under Legendre-symbol distributions as a further application.

Abstract

Assume that the Riemann hypothesis holds for Dedekind zeta functions. Under this assumption, we prove that a degree $d$ polynomial with random multiplicative $\pm1$ coefficients is irreducible in $\mathbb{Z}[x]$ with probability $1-O(d^{-1/2+\varepsilon})$.

A random polynomial with multiplicative coefficients is almost surely irreducible

TL;DR

The paper proves that, under the assumption that the Riemann hypothesis holds for Dedekind zeta functions, a random polynomial with multiplicative coefficients drawn from dependent variables is irreducible over with probability . The authors adapt the BV19 strategy by linking irreducibility to the average number of roots in random finite fields and establishing equidistribution of the polynomial’s values for most residues via conditioning on small primes and exploiting many disjoint arithmetic progressions among primes. They develop a robust equidistribution framework for sums of the form in , extend it to the pair , and deduce tight control on the expected number of roots and double roots, which then yields irreducibility with high probability and a bound on the possibility of the polynomial being a proper power. The results contribute to understanding irreducibility in models with dependent coefficients and connect number-theoretic distribution results (via RH for zeta functions and GS-type L-function assumptions) to probabilistic polynomial irreducibility phenomena, with corollaries under Legendre-symbol distributions as a further application.

Abstract

Assume that the Riemann hypothesis holds for Dedekind zeta functions. Under this assumption, we prove that a degree polynomial with random multiplicative coefficients is irreducible in with probability .

Paper Structure

This paper contains 10 sections, 15 theorems, 68 equations.

Key Result

Theorem 1.1

Suppose that the Riemann hypothesis holds for the Dedekind zeta functions of all number fields. Then for every $\varepsilon>0$, there is a constant $C=C(\varepsilon)$ such that

Theorems & Definitions (24)

  • Theorem 1.1
  • Corollary 1.2
  • Proposition 2.1
  • Proposition 2.2
  • Lemma 2.3
  • proof : Proof of Proposition \ref{['pr:number-distinct-factors']}
  • Proposition 3.1
  • Lemma 3.2
  • Lemma 3.3
  • proof
  • ...and 14 more