First passage in an interval for fractional Brownian motion.

@article{Wiese2019FirstPI,
  title={First passage in an interval for fractional Brownian motion.},
  author={Kay J{\"o}rg Wiese},
  journal={Physical review. E},
  year={2019},
  volume={99 3-1},
  pages={
          032106
        }
}
  • K. J. Wiese
  • Published 23 July 2018
  • Mathematics
  • Physical review. E
Let X_{t} be a random process starting at x∈[0,1] with absorbing boundary conditions at both ends of the interval. Denote by P_{1}(x) the probability to first exit at the upper boundary. For Brownian motion, P_{1}(x)=x, which is equivalent to P_{1}^{'}(x)=1. For fractional Brownian motion with Hurst exponent H, we establish that P_{1}^{'}(x)=N[x(1-x)]^{1/H-2}e^{εF(x)+O(ε^{2})}, where ε=H-1/2. The function F(x) is analytic and well approximated by its Taylor expansion F(x)≃16(C-1)(x-1/2)^{2}+O(x… 
Sampling first-passage times of fractional Brownian motion using adaptive bisections.
TLDR
An algorithm to efficiently sample first-passage times for fractional Brownian motion is presented, which enables one to numerically validate theoretical predictions that were hitherto inaccessible.
Functionals of fractional Brownian motion and the three arcsine laws.
TLDR
A perturbation expansion allowing us to evaluate many nontrivial observables analytically and derive expressions for the probability of these three functionals as an expansion in ɛ=H-1/2, up to second order.
Field theories for stochastic processes
This thesis is a collection of collaborative research work which uses field-theoretic techniques to approach three different areas of stochastic dynamics: Branching Processes, First-passage times of
Probability density of the fractional Langevin equation with reflecting walls.
TLDR
Anomalous diffusion processes governed by the fractional Langevin equation and confined to a finite or semi-infinite interval by reflecting potential barriers and compared with the strong accumulation and depletion effects recently observed for nonthermal fractional Brownian motion with reflecting walls are compared.
Span Observables: “When is a Foraging Rabbit No Longer Hungry?”
TLDR
This work focuses on the diffusion propagator with reflecting or absorbing boundaries, for which a set of useful formulas is derived, and derives the joint probability of the maximum and minimum of a process.
Search efficiency of discrete fractional Brownian motion in a random distribution of targets
TLDR
Fractional Brownian motion as a search process, which under parameter variation generates all three basic types of diffusion, from sub- to normal to superdiffusion, is studied, finding that different search scenarios favour different modes of motion for optimising search success, defying a universality across all search situations.
Extreme events for fractional Brownian motion with drift: Theory and numerical validation.
We study the first-passage time, the distribution of the maximum, and the absorption probability of fractional Brownian motion of Hurst parameter H with both a linear and a nonlinear drift. The
Probability density of fractional Brownian motion and the fractional Langevin equation with absorbing walls
Fractional Brownian motion and the fractional Langevin equation are models of anomalous diffusion processes characterized by long-range power-law correlations in time. We employ large-scale computer

References

SHOWING 1-10 OF 54 REFERENCES
Perturbation theory for fractional Brownian motion in presence of absorbing boundaries.
TLDR
This work studies x(t) in presence of an absorbing boundary at the origin and focuses on the probability density P(+)(x,t) for the process to arrive at x at time t, starting near the origin at time 0, given that it has never crossed the origin.
Generalized Arcsine Laws for Fractional Brownian Motion.
TLDR
This work shows how the three arcsine laws for Brownian motion change for fractional BrownianMotion X_{t}, a non-Markovian Gaussian process indexed by the Hurst exponent H, and obtains the three probabilities using a perturbative expansion in ϵ=H-1/2.
Extreme-value statistics of fractional Brownian motion bridges.
TLDR
This work investigates fractional Brownian motion where both the starting and the end point are zero, commonly referred to as bridge processes, and gives the first-order result for the probability distribution of these three variables and the joint distribution of m and t_{max}.
Pickands' constant at first order in an expansion around Brownian motion
In the theory of extreme values of Gaussian processes, many results are expressed in terms of the Pickands constant $\mathcal{H}_{\alpha}$. This constant depends on the local self-similarity exponent
Perturbative expansion for the maximum of fractional Brownian motion.
TLDR
A perturbative approach is developed to treat the nonlocality in time in an expansion in ɛ=H-1/2, which allows us to derive analytic results beyond scaling exponents for various observables related to extreme value statistics.
Maximum of a Fractional Brownian Motion: Analytic Results from Perturbation Theory.
TLDR
The probability distribution of the maximum m of the process and the time t_{max} at which the maximum is reached are studied, encoded in a path integral, which is evaluated perturbatively around a Brownian.
Fractional Brownian motion
We prove analytically a connection between the generalized Molchan-Golosov integral transform (see [4], Theorem 5.1) and the generalized Mandelbrot-VanNess integral transform (see [8], Theorem 1.1)
Fractional Brownian motion approach to polymer translocation: the governing equation of motion.
We suggest a governing equation that describes the process of polymer-chain translocation through a narrow pore and reconciles the seemingly contradictory features of such dynamics: (i) a Gaussian
Hitting probability for anomalous diffusion processes.
TLDR
It is shown that Q(x,L)=Q(z=x/L) has a scaling Q(z) approximately z; phi as z-->0, where phi=theta/H, H, and theta being the Hurst and persistence exponent of the process, respectively.
ON SPECTRAL SIMULATION OF FRACTIONAL BROWNIAN MOTION
This article focuses on simulating fractional Brownian motion (fBm). Despite the availability of several exact simulation methods, attention has been paid to approximate simulation (i.e., the output
...
1
2
3
4
5
...