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On the local time of sub-fractional Brownian motion

Ibrahima Mendy (2010)

Annales mathématiques Blaise Pascal

S H = { S t H , t 0 } be a sub-fractional Brownian motion with H ( 0 , 1 ) . We establish the existence, the joint continuity and the Hölder regularity of the local time L H of S H . We will also give Chung’s form of the law of iterated logarithm for S H . This results are obtained with the decomposition of the sub-fractional Brownian motion into the sum of fractional Brownian motion plus a stochastic process with absolutely continuous trajectories. This decomposition is given by Ruiz de Chavez and Tudor [10].

On the regularity of stochastic currents, fractional brownian motion and applications to a turbulence model

Franco Flandoli, Massimiliano Gubinelli, Francesco Russo (2009)

Annales de l'I.H.P. Probabilités et statistiques

We study the pathwise regularity of the map φ↦I(φ)=∫0T〈φ(Xt), dXt〉, where φ is a vector function on ℝd belonging to some Banach space V, X is a stochastic process and the integral is some version of a stochastic integral defined via regularization. A continuous version of this map, seen as a random element of the topological dual of V will be called stochastic current. We give sufficient conditions for the current to live in some Sobolev space of distributions and we provide elements to conjecture...

Optimal transportation for multifractal random measures and applications

Rémi Rhodes, Vincent Vargas (2013)

Annales de l'I.H.P. Probabilités et statistiques

In this paper, we study optimal transportation problems for multifractal random measures. Since these measures are much less regular than optimal transportation theory requires, we introduce a new notion of transportation which is intuitively some kind of multistep transportation. Applications are given for construction of multifractal random changes of times and to the existence of random metrics, the volume forms of which coincide with the multifractal random measures.

Semi-additive functionals and cocycles in the context of self-similarity

Vladas Pipiras, Murad S. Taqqu (2010)

Discussiones Mathematicae Probability and Statistics

Kernel functions of stable, self-similar mixed moving averages are known to be related to nonsingular flows. We identify and examine here a new functional occuring in this relation and study its properties. To prove its existence, we develop a general result about semi-additive functionals related to cocycles. The functional we identify, is helpful when solving for the kernel function generated by a flow. Its presence also sheds light on the previous results on the subject.

Smoothness for the collision local time of two multidimensional bifractional Brownian motions

Guangjun Shen, Litan Yan, Chao Chen (2012)

Czechoslovak Mathematical Journal

Let B H i , K i = { B t H i , K i , t 0 } , i = 1 , 2 be two independent, d -dimensional bifractional Brownian motions with respective indices H i ( 0 , 1 ) and K i ( 0 , 1 ] . Assume d 2 . One of the main motivations of this paper is to investigate smoothness of the collision local time T = 0 T δ ( B s H 1 , K 1 - B s H 2 , K 2 ) d s , T > 0 , where δ denotes the Dirac delta function. By an elementary method we show that T is smooth in the sense of Meyer-Watanabe if and only if min { H 1 K 1 , H 2 K 2 } < 1 / ( d + 2 ) .

Stochastic calculus with respect to fractional Brownian motion

David Nualart (2006)

Annales de la faculté des sciences de Toulouse Mathématiques

Fractional Brownian motion (fBm) is a centered self-similar Gaussian process with stationary increments, which depends on a parameter H ( 0 , 1 ) called the Hurst index. In this conference we will survey some recent advances in the stochastic calculus with respect to fBm. In the particular case H = 1 / 2 , the process is an ordinary Brownian motion, but otherwise it is not a semimartingale and Itô calculus cannot be used. Different approaches have been introduced to construct stochastic integrals with respect to fBm:...

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