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An asymptotic expansion of the norm of $e^{-|{t-s}|}{1}_{\{0\le s,t\le T\}}$ in the canonical Hilbert space of fractional Brownian motion

Yong Chen

TL;DR

This paper derives a detailed asymptotic expansion for the squared norm $||f_T||^2$ of the kernel $f_T(s,t)=e^{-|t-s|}\mathbf{1}_{\{0\le s,t\le T\}}$ in the canonical Hilbert space of fractional Brownian motion with Hurst parameter $H\in(0,1)$. Using two inner-product representations, the authors obtain an explicit expansion up to $O(T^{4H-4})$ for $H\neq 3/4$, and a logarithmic correction when $H=3/4$, with constants expressed in terms of $a=H\Gamma(2H)$ and $\sigma^2_H=(4H-1)(1-1/\cos(2\pi H))$. They derive corollaries on the existence of an oblique asymptote for $\tfrac{1}{2}||f_T||^2$ when $H\in(0,1/2]$, and a sharp bound for $\left|\tfrac{1}{2T}||f_T||^2-\sigma^2\right|$ for $H\in(0,3/4)$, with implications for ergodic fractional Ornstein–Uhlenbeck processes. The paper also applies these results to bound second-chaos functionals like $W_T$ and to quantify convergence rates in OU-type estimators, offering concrete rates that depend on $H$. Overall, the work provides precise quantitative tools for parameter estimation and ergodic analysis in Gaussian rough-path settings driven by fBm.

Abstract

Using the inner product formula of the canonical Hilbert space of fractional Brownian motion on an interval $[0,T]$ with Hurst parameter $H\in (0,1)$ given by Alazemi et al., we show the asymptotic expansion of the norm of $f_T(s,t):=e^{-|t-s|}\mathbf{1}_{\{0\le s,t\le T\}}$ up to the term $T^{4H-4}$. As applications, we show that the existence of the oblique asymptote of the norm $\frac12\|f_T\|^2_{\mathfrak{H}^{\otimes2}}$ if and only if $H\in (0,\frac12]$ and that we obtain a sharp upper bound of the difference $\left|\frac{1}{2 {T}} \|f_T\|_{\mathfrak{H}^{\otimes 2}}^2-σ^2\right|$ for $H\in (0,\frac34)$ which implies two significant estimates concerning to an ergodic fractional Ornstein-Uhlenbeck process, where $σ^2$ is the slope of the oblique asymptote.

An asymptotic expansion of the norm of $e^{-|{t-s}|}{1}_{\{0\le s,t\le T\}}$ in the canonical Hilbert space of fractional Brownian motion

TL;DR

This paper derives a detailed asymptotic expansion for the squared norm of the kernel in the canonical Hilbert space of fractional Brownian motion with Hurst parameter . Using two inner-product representations, the authors obtain an explicit expansion up to for , and a logarithmic correction when , with constants expressed in terms of and . They derive corollaries on the existence of an oblique asymptote for when , and a sharp bound for for , with implications for ergodic fractional Ornstein–Uhlenbeck processes. The paper also applies these results to bound second-chaos functionals like and to quantify convergence rates in OU-type estimators, offering concrete rates that depend on . Overall, the work provides precise quantitative tools for parameter estimation and ergodic analysis in Gaussian rough-path settings driven by fBm.

Abstract

Using the inner product formula of the canonical Hilbert space of fractional Brownian motion on an interval with Hurst parameter given by Alazemi et al., we show the asymptotic expansion of the norm of up to the term . As applications, we show that the existence of the oblique asymptote of the norm if and only if and that we obtain a sharp upper bound of the difference for which implies two significant estimates concerning to an ergodic fractional Ornstein-Uhlenbeck process, where is the slope of the oblique asymptote.

Paper Structure

This paper contains 6 sections, 15 theorems, 114 equations.

Key Result

Proposition 1.1

Let $H \in (0, \frac{1}{2})\cup(\frac{1}{2},1)$. For any two functions in the set $\mathcal{V}_{[0,T]}$, their inner product in the Hilbert space $\mathfrak{H}$ can be expressed as If $g'(\cdot)$ is interpreted as the distributional derivative of $g(\cdot)$, then the formula innp fg3-0 admits the following representation:

Theorems & Definitions (24)

  • Proposition 1.1
  • Theorem 1.2
  • Corollary 1.3
  • Corollary 1.4
  • Corollary 1.5
  • Proposition 2.1
  • proof
  • Proposition 2.2
  • proof
  • Corollary 2.3
  • ...and 14 more