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Transactions of the American Mathematical Society
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Small deviations of weighted fractional processes and average non-linear approximation

Author(s): Mikhail A. Lifshits; Werner Linde
Journal: Trans. Amer. Math. Soc. 357 (2005), 2059-2079.
MSC (2000): Primary 60G15; Secondary 47B06, 47B10, 47G10
Posted: December 9, 2004
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Abstract: We investigate the small deviation problem for weighted fractional Brownian motions in $L_q$-norm, $1\le q\le\infty$. Let $B^H$ be a fractional Brownian motion with Hurst index $0<H<1$. If $1/r:=H+1/q$, then our main result asserts

\begin{displaymath}\lim_{\varepsilon\to 0} \varepsilon^{1/H}\log \mathbb{P}\left... ...c(H,q)\cdot\left\Vert{\rho}\right\Vert _{L_r(0,\infty)}^{1/H}, \end{displaymath}

provided the weight function $\rho$satisfies a condition slightly stronger than the $r$-integrability. Thus we extend earlier results for Brownian motion, i.e. $H=1/2$, to the fractional case. Our basic tools are entropy estimates for fractional integration operators, a non-linear approximation technique for Gaussian processes as well as sharp entropy estimates for $l_q$-sums of linear operators defined on a Hilbert space.


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Additional Information:

Mikhail A. Lifshits
Affiliation: St. Petersburg State University, Postbox 104, 197372 St. Petersburg, Russia
Email: lifts@mail.rcom.ru

Werner Linde
Affiliation: Institut für Stochastik, Friedrich-Schiller-Universität Jena, Ernst--Abbe--Platz 2, 07743 Jena, Germany
Email: lindew@minet.uni-jena.de

DOI: 10.1090/S0002-9947-04-03725-0
PII: S 0002-9947(04)03725-0
Keywords: Fractional Brownian motion, small deviations, fractional integration operator, entropy numbers, non--linear approximation
Received by editor(s): May 27, 2003
Received by editor(s) in revised form: December 18, 2003
Posted: December 9, 2004
Additional Notes: The authors were supported in part by DFG-RFBR Grant 99-01-04027 and by RFBR Grant 02-01-00265.
Copyright of article: Copyright 2004, American Mathematical Society
The copyright for this article reverts to public domain after 28 years from publication.


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