Stretched-Gaussian asymptotics of the truncated Lévy flights for the diffusion in nonhomogeneous media

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

19 pages, 5 figures

Scientific paper

10.1016/j.physa.2008.12.059

The L\'evy, jumping process, defined in terms of the jumping size distribution and the waiting time distribution, is considered. The jumping rate depends on the process value. The fractional diffusion equation, which contains the variable diffusion coefficient, is solved in the diffusion limit. That solution resolves itself to the stretched Gaussian when the order parameter $\mu\to2$. The truncation of the L\'evy flights, in the exponential and power-law form, is introduced and the corresponding random walk process is simulated by the Monte Carlo method. The stretched Gaussian tails are found in both cases. The time which is needed to reach the limiting distribution strongly depends on the jumping rate parameter. When the cutoff function falls slowly, the tail of the distribution appears to be algebraic.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Stretched-Gaussian asymptotics of the truncated Lévy flights for the diffusion in nonhomogeneous media does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Stretched-Gaussian asymptotics of the truncated Lévy flights for the diffusion in nonhomogeneous media, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Stretched-Gaussian asymptotics of the truncated Lévy flights for the diffusion in nonhomogeneous media will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-64989

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.