1,021 research outputs found
Fluctuation-driven directed transport in the presence of Levy flights
Numerical evidence of directed transport driven by symmetric Levy noise in
time-independent ratchet potentials in the absence of an external tilting force
is presented. The results are based on the numerical solution of the fractional
Fokker-Planck equation in a periodic potential and the corresponding Langevin
equation with Levy noise. The Levy noise drives the system out of thermodynamic
equilibrium and an up-hill net current is generated. For small values of the
noise intensity there is an optimal value of the Levy noise index yielding the
maximum current. The direction and magnitude of the current can be manipulated
by changing the Levy noise asymmetry and the potential asymmetry
Marcus versus Stratonovich for Systems with Jump Noise
The famous It\^o-Stratonovich dilemma arises when one examines a dynamical
system with a multiplicative white noise. In physics literature, this dilemma
is often resolved in favour of the Stratonovich prescription because of its two
characteristic properties valid for systems driven by Brownian motion: (i) it
allows physicists to treat stochastic integrals in the same way as conventional
integrals, and (ii) it appears naturally as a result of a small correlation
time limit procedure. On the other hand, the Marcus prescription [IEEE Trans.
Inform. Theory 24, 164 (1978); Stochastics 4, 223 (1981)] should be used to
retain (i) and (ii) for systems driven by a Poisson process, L\'evy flights or
more general jump processes. In present communication we present an in-depth
comparison of the It\^o, Stratonovich, and Marcus equations for systems with
multiplicative jump noise. By the examples of areal-valued linear system and a
complex oscillator with noisy frequency (the Kubo-Anderson oscillator) we
compare solutions obtained with the three prescriptions.Comment: 14 pages, 4 figure
Normal and Anomalous Fluctuation Relations for Gaussian Stochastic Dynamics
We study transient work Fluctuation Relations (FRs) for Gaussian stochastic
systems generating anomalous diffusion. For this purpose we use a Langevin
approach by employing two different types of additive noise: (i) internal noise
where the Fluctuation-Dissipation Relation of the second kind (FDR II) holds,
and (ii) external noise without FDR II. For internal noise we demonstrate that
the existence of FDR II implies the existence of the Fluctuation-Dissipation
Relation of the first kind (FDR I), which in turn leads to conventional
(normal) forms of transient work FRs. For systems driven by external noise we
obtain violations of normal FRs, which we call anomalous FRs. We derive them in
the long-time limit and demonstrate the existence of logarithmic factors in FRs
for intermediate times. We also outline possible experimental verifications.Comment: to be published in JSta
Fractional Diffusion Equation for a Power-Law-Truncated Levy Process
Truncated Levy flights are stochastic processes which display a crossover
from a heavy-tailed Levy behavior to a faster decaying probability distribution
function (pdf). Putting less weight on long flights overcomes the divergence of
the Levy distribution second moment. We introduce a fractional generalization
of the diffusion equation, whose solution defines a process in which a Levy
flight of exponent alpha is truncated by a power-law of exponent 5 - alpha. A
closed form for the characteristic function of the process is derived. The pdf
of the displacement slowly converges to a Gaussian in its central part showing
however a power law far tail. Possible applications are discussed
Correlated continuous-time random walks: combining scale-invariance with long-range memory for spatial and temporal dynamics
Standard continuous time random walk (CTRW) models are renewal processes in
the sense that at each jump a new, independent pair of jump length and waiting
time are chosen. Globally, anomalous diffusion emerges through action of the
generalized central limit theorem leading to scale-free forms of the jump
length or waiting time distributions. Here we present a modified version of
recently proposed correlated CTRW processes, where we incorporate a power-law
correlated noise on the level of both jump length and waiting time dynamics. We
obtain a very general stochastic model, that encompasses key features of
several paradigmatic models of anomalous diffusion: discontinuous, scale-free
displacements as in Levy flights, scale-free waiting times as in subdiffusive
CTRWs, and the long-range temporal correlations of fractional Brownian motion
(FBM). We derive the exact solutions for the single-time probability density
functions and extract the scaling behaviours. Interestingly, we find that
different combinations of the model parameters lead to indistinguishable shapes
of the emerging probability density functions and identical scaling laws. Our
model will be useful to describe recent experimental single particle tracking
data, that feature a combination of CTRW and FBM properties.Comment: 25 pages, IOP style, 5 figure
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