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Central Limit Theorems for Some Symmetric Stochastic Integrals

Posted on:2014-04-24Degree:Ph.DType:Dissertation
University:University of KansasCandidate:Harnett, DanielFull Text:PDF
GTID:1450390005990786Subject:Mathematics
Abstract/Summary:
The problem of stochastic integration with respect to fractional Brownian motion (fBm) with H < 1/2 and other 'rough path' Gaussian processes is considered. We use a Riemann sum approach to construct stochastic integrals. It is known, for example, that a Midpoint Riemann sum converges in probability to a stable integral for fBm with H > 1/4, but not in general if H ≤ 1/4. We consider four different types of Riemann sums and their associated critical values: Midpoint (2 types), Trapezoidal, and Simpson's rule. At the critical value (H = 1/4, 1/6, and 1/10, respectively), the sums converge only in distribution. Convergence in distribution is proved by means of theorems and techniques of Malliavin calculus. We consider asymptotic behavior of a specific stochastic integral with respect to fBm with H > 1/2. This result approximates an fBm version of Spitzer's theorem for planar Brownian motion.
Keywords/Search Tags:Stochastic, Fbm
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