English

The functional Breuer-Major theorem

Probability 2018-08-08 v1

Abstract

Let X={Xn}nZX=\{ X_n\}_{n\in \mathbb{Z}} be zero-mean stationary Gaussian sequence of random variables with covariance function ρ\rho satisfying ρ(0)=1\rho(0)=1. Let φ:RR\varphi:\mathbb{R}\to\mathbb{R} be a function such that E[φ(X0)2]<E[\varphi(X_0)^2]<\infty and assume that φ\varphi has Hermite rank d1d \geq 1. The celebrated Breuer-Major theorem asserts that, if rZρ(r)d<\sum_{r\in\mathbb{Z}} |\rho(r)|^d<\infty then the finite dimensional distributions of 1ni=0n1φ(Xi)\frac1{\sqrt{n}}\sum_{i=0}^{\lfloor n\cdot\rfloor-1} \varphi(X_i) converge to those of σW\sigma\,W, where WW is a standard Brownian motion and σ\sigma is some (explicit) constant. Surprisingly, and despite the fact this theorem has become over the years a prominent tool in a bunch of different areas, a necessary and sufficient condition implying the weak convergence in the space D([0,1]){\bf D}([0,1]) of c\`adl\`ag functions endowed with the Skorohod topology is still missing. Our main goal in this paper is to fill this gap. More precisely, by using suitable boundedness properties satisfied by the generator of the Ornstein-Uhlenbeck semigroup, we show that tightness holds under the sufficient (and almost necessary) natural condition that E[φ(X0)p]<E[|\varphi(X_0)|^{p}]<\infty for some p>2p>2.

Keywords

Cite

@article{arxiv.1808.02378,
  title  = {The functional Breuer-Major theorem},
  author = {Ivan Nourdin and David Nualart},
  journal= {arXiv preprint arXiv:1808.02378},
  year   = {2018}
}

Comments

13 pages

R2 v1 2026-06-23T03:26:50.881Z