paper

Local and uniform moduli of continuity of chi--square processes

arXiv:2106.00542

Abstract

Let be a mean zero continuous Gaussian process with covariance with . Let be independent copies of and set The stochastic process is referred to as a chi--square process of order with kernel . Let be a positive function on for some . If \[\limsup_{t\to 0}\frac{ η(t)-η(0)}{ ϕ(t) }=1 \qquad a.s., \] then for all integers , \[ \limsup_{t\to 0} \frac{Y_{k }(t)-Y_{k }(0)} { ϕ(t)} = 2 Y^{1/2}_{k}(0) \qquad a.s.\] Set \[ σ^2(u,v)=E(η(u)-η(v))^2\quad\text{and}\quad \widetildeσ^2(x)=\sup_{|u-v|\le x}σ^2(u,v).\] Assume that and, \[ \lim_{x\to0}\widetildeσ^2(x)\log 1/x =0. \] Let be a positive function on . Then if \[ \lim_{h\to 0}\sup_{\stackrel{|u-v|\le h }{ u,v\inΔ}}\frac{ η(u)-η(v)}{ φ(|u-v|) }=1 \qquad a.s.\] for all intervals , it follows that for all intervals and all integers , \[ \lim_{h\to 0}\sup_{\stackrel{|u-v|\le h }{ u,v\inΔ}} \frac{Y_{k }(u)-Y_{k }(v) }{ φ(|u-v|)} = 2 \sup_{u\inΔ}Y_{k }^{1/2}(u), \hspace{.2 in}a.s.\]

11 pages. arXiv admin note: text overlap with arXiv:2006.14457