分式布朗运动的加权局部时

本文研究了Hurst参数H∈(0,1)的分式布朗运动的加权局部时.利用多重Wiener-It(o)积分,得到了分式布朗运动的加权局部时的展开式,推广了布朗运动的加权局部时问题.     

分式Brown运动的局部时:白噪声分析法

本文利用白噪声分析的方法,讨论了分式布朗运动的局部时,即将其看作一个Hida分布.进一步,给出分式布朗运动的局部时的混沌分解以及局部时平方可积性.     

布朗运动和分数布朗运动混合的局部时（英文）

本文利用经典的白噪声分析框架研究布朗运动和分数布朗运动混合的局部时.利用白噪声分析方法证明该局部时是一个Hida广义泛函.进一步,借助于S-变换给出了该局部时的混沌表示.本文所获得结果推广了GUO等(2011)获得的分数布朗运动情形下的一些结果.     

布朗运动和次分数布朗运动混合的局部时（英文）

本文研究了布朗运动和次分数布朗运动混合的局部时问题.利用白噪声分析方法和次分数布朗运动的另一种表示形式,证明了该局部时是一个Hida广义泛函.进一步,借助于S-变换给出了该局部时的混沌表示.最后获得了该局部时的正则性条件.推广了布朗运动局部时的一些结果.     

分式布朗运动局部时中δ函数的一些特点(英文)

本文利用经典的白噪声分析框架研究分式布朗运动局部时中的δ函数.首先借助于S-变换,证明泛函δ_Γ(?)和(?)是Hida广义泛函,其中k_1+k_2+…+k_d=k1和Γ(?)R~d.进一步,将上述结果推广到d维N个参数情形,获得类似的一些结果.推广了文献[Ukrain.Math.J.,2000,52(2):173-182]中所获得的布朗运动情形下的一些结果.     

布朗运动和次分数布朗运动混合的局部时

本文研究了布朗运动和次分数布朗运动混合的局部时问题.利用白噪声分析方法和次分数布朗运动的另一种表示形式,证明了该局部时是一个Hida广义泛函.进一步,借助于S-变换给出了该局部时的混沌表示.最后获得了该局部时的正则性条件.推广了布朗运动局部时的一些结果.     

d维N参数分数布朗运动局部时的混沌分解(英文)

本文在经典白噪声分析框架下,研究分数布朗运动局部时的存在性与混沌分解.我们用白噪声分析方法证明d维1个参数的分数布朗运动的局部时是一个Hida广义泛函.在一定的条件下,该局部时在(L2)中存在.进一步,利用埃尔米特多项式给出了该局部时的维纳-伊藤清混沌分解.最后,类似地获得了d维N个参数情形的结果.我们推广了文献Bakun(2000)中所获得的布朗运动情形下的一些结果.     

两个相互独立的多分数布朗运动的碰撞局部时

本文利用白噪声分析方法研究了两个相互独立的多分数布朗运动的碰撞局部时问题.首先分别讨论了碰撞局部时在Hida广义泛函空间和L~2空间中的存在性.进一步,利用多分数布朗运动的局部不确定性获得了该局部时的正则性条件.     

双分式Brown运动的自相交局部时和相遇局部时

考虑一个双分式Brown运动的局部时、自相交局部时和两个独立的双分式Brown运动的相遇局部时问题．通过双分式Brown运动的强局部不确定性、L^2收敛和混沌展开,验证自相交局部时和相遇局部时的存在性和光滑性．     

连分式 数列与极限

本文给出了连分式展开式分子、分母的递推关系,推导了递推数列的产生函数.由产生函数的渐近展开式,得到了连分式的极限值.     

Chaos Decomposition of Local Time for d-Dimensional Fractional Brownian Motion with N-Parameter

In this paper, the existence and chaos decomposition of local time of fractional Brownian motion are studied within the canonical framework of white noise analysis. We prove that the local time of -dimensional fractional Brownian motion with 1-parameter is a Hida distribution through white noise approach. Under some conditions, it exists in . Moreover, the Wiener-Ito chaos decomposition of it is also given in terms of Hermite polynomials. Finally, similar results of -dimensional fractional Brownian motion with -parameter are also obtained. We popularize some results in Bakun (2000) for the case of Brownian motion.     

Stochastic heat equation driven by fractional noise and local time

The aim of this paper is to study the d-dimensional stochastic heat equation with a multiplicative Gaussian noise which is white in space and has the covariance of a fractional Brownian motion with Hurst parameter H ∈ (0,1) in time. Two types of equations are considered. First we consider the equation in the Itô-Skorohod sense, and later in the Stratonovich sense. An explicit chaos expansion for the solution is obtained. On the other hand, the moments of the solution are expressed in terms of the exponential moments of some weighted intersection local time of the Brownian motion.     

Fractional Brownian Motion and Sheet as White Noise Functionals

In this short note, we show that it is more natural to look the fractional Brownian motion as functionals of the standard white noises, and the fractional white noise calculus developed by Hu and Фksendal follows directly from the classical white noise functional calculus. As examples we prove that the fractional Girsanov formula, the Ito type integrals and the fractional Black-Scholes formula are easy consequences of their classical counterparts. An extension to the fractional Brownian sheet is also briefly discussed.     

Fractional Brownian motion approximation based on fractional integration of a white noise

We study simple approximations to fractional Gaussian noise and fractional Brownian motion. The approximations are based on spectral properties of the noise. They allow one to consider the noise as the result of fractional integration/differentiation of a white Gaussian noise. We consider correlation properties of the approximation to fractional Gaussian noise and point to the peculiarities of persistent and anti-persistent behaviors. We also investigate self-similarity properties of the approximation to fractional Brownian motion, namely, `τ^H laws' for the structure function and the range. We conclude that the models proposed serve as a convenient tool for modelling of natural processes and testing and improvement of methods aimed at analysis and interpretation of experimental data.     

Intersection Local Times of Independent Fractional Brownian Motions as Generalized White Noise Functionals

In this work we present expansions of intersection local times of fractional Brownian motions in ? ^d , for any dimension d??1, with arbitrary Hurst coefficients in (0,1) ^d . The expansions are in terms of Wick powers of white noises (corresponding to multiple Wiener integrals), being well-defined in the sense of generalized white noise functionals. As an application of our approach, a sufficient condition on d for the existence of intersection local times in L ² is derived, extending the results in Nualart and Ortiz-Latorre (J. Theoret. Probab. 20(4):759?C767, 2007) to different and more general Hurst coefficients.     

Intersection Local Times of Independent Brownian Motions as Generalized White Noise Functionals

A 'chaos expansion' of the intersection local time functional of two independent Brownian motions in R ^d is given. The expansion is in terms of normal products of white noise (corresponding to multiple Wiener integrals). As a consequence of the local structure of the normal products, the kernel functions in the expansion are explicitly given and exhibit clearly the dimension dependent singularities of the local time functional. Their L ^p -properties are discussed. An important tool for deriving the chaos expansion is a computation of the 'S-transform' of the corresponding regularized intersection local times and a control about their singular limit.     

Intersection Local Times as Generalized White Noise Functionals

For any dimension we present the expansions of Brownian motion self-intersection local times in terms of multiple Wiener integrals. Suitably subtracted, they exist in the sense of generalized white noise functionals; their kernel functions are given in closed (and remarkably simple) form.     

Fractional stochastic integration and Black–Scholes equation for fractional Brownian model with stochastic volatility

We modify the Hu-Øksendal and Elliot-van der Hoek approach to arbitrage-free financial markets driven by a fractional Brownian motion that is defined on a white noise space. We deduce and solve a Black–Scholes fractional equation for constant volatility and outline the corresponding equation with stochastic volatility. As an auxiliary result, we produce some simple conditions implying the existence of the Wick integral w.r.t. fractional noise.