Averaging principles for mixed fast-slow systems driven by fractional Brownian motion [PDF]
We focus on fast-slow systems involving both fractional Brownian motion (fBm) and standard Brownian motion (Bm). The integral with respect to Bm is the standard Ito integral, and the integral with respect to fBm is the generalised Riemann-Stieltjes ...
B. Pei, Y. Inahama, Yong Xu
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Search efficiency of discrete fractional Brownian motion in a random distribution of targets
Efficiency of search for randomly distributed targets is a prominent problem in many branches of the sciences. For the stochastic process of Lévy walks, a specific range of optimal efficiencies was suggested under variation of search intrinsic and ...
S. Mohsen J. Khadem +2 more
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Prediction law of fractional Brownian motion [PDF]
We calculate the regular conditional future law of the fractional Brownian motion with index $H\in(0,1)$ conditioned on its past. We show that the conditional law is continuous with respect to the conditioning path. We investigate the path properties of the conditional process and the asymptotic behavior of the conditional covariance.
Viitasaari, Lauri, Sottinen, Tommi
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Maximum Principle for General Controlled Systems Driven by Fractional Brownian Motions [PDF]
We obtain a maximum principle for stochastic control problem of general controlled stochastic differential systems driven by fractional Brownian motions (of Hurst parameter $H>1/2$). This maximum principle specifies a system of equations that the optimal
Han, Yuecai, Hu, Yaozhong, Song, Jian
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Operator Fractional Brownian Motion and Martingale Differences
It is well known that martingale difference sequences are very useful in applications and theory. On the other hand, the operator fractional Brownian motion as an extension of the well-known fractional Brownian motion also plays an important role in both
Hongshuai Dai +2 more
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Averaging dynamics driven by fractional Brownian motion [PDF]
We consider slow / fast systems where the slow system is driven by fractional Brownian motion with Hurst parameter $H>{1\over 2}$. We show that unlike in the case $H={1\over 2}$, convergence to the averaged solution takes place in probability and the ...
Martin Hairer, Xue-Mei Li
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Path Properties of a Generalized Fractional Brownian Motion [PDF]
The generalized fractional Brownian motion is a Gaussian self-similar process whose increments are not necessarily stationary. It appears in applications as the scaling limit of a shot noise process with a power-law shape function and non-stationary ...
Tomoyuki Ichiba, G. Pang, M. Taqqu
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The fractional mixed fractional brownian motion and fractional brownian sheet [PDF]
Summary: We introduce the fractional mixed fractional Brownian motion and fractional Brownian sheet, and investigate the small ball behavior of its sup-norm statistic. Then, we state general conditions and characterize the sufficiency part of the lower classes of some statistics of the above process by an integral test.
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Linear filtering with fractional Brownian motion in the signal and observation processes [PDF]
Integral equations for the mean-square estimate are obtained for the linear filtering problem, in which the noise generating the signal is a fractional Brownian motion with Hurst index h∈(3/4,1) and the noise in the observation process includes a ...
Anh, Vo Van +2 more
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Anticipated BSDEs Driven by Fractional Brownian Motion with a Time-Delayed Generator
This article describes a new form of an anticipated backward stochastic differential equation (BSDE) with a time-delayed generator driven by fractional Brownian motion, further known as fractional BSDE, with a Hurst parameter H∈(1/2,1).
Pei Zhang +2 more
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