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arXiv 1508.06641math.PR
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一类自相似高斯过程的分解与极限定理

Decomposition and limit theorems for a class of self-similar Gaussian processes

Daniel Harnett, David Nualart

摘要:

我们引入了一类新的自相似高斯随机过程,其中协方差是根据分数布朗运动和另一个高斯过程定义的。一个特例是Tudor(2013)中描述的分数色随机热方程的时间解。我们证明了该过程可以分解为分数布朗运动(具有与定义协方差的参数不同的参数)和Lei和Nualart(2008)首次描述的高斯过程。分量过程可以表示为关于布朗单的随机积分。然后证明了关于该过程的Hermite变分的一个中心极限定理。

英文摘要:

We introduce a new class of self-similar Gaussian stochastic processes, where the covariance is defined in terms of a fractional Brownian motion and another Gaussian process. A special case is the solution in time to the fractional-colored stochastic heat equation described in Tudor (2013). We prove that the process can be decomposed into a fractional Brownian motion (with a different parameter than the one that defines the covariance), and a Gaussian process first described in Lei and Nualart (2008). The component processes can be expressed as stochastic integrals with respect to the Brownian sheet. We then prove a central limit theorem about the Hermite variations of the process.

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