Survival Probability in a Random Velocity Field

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

6 pages, RevTeX, 5 figures includes, to be submitted to Phys. Rev. E

Scientific paper

10.1103/PhysRevE.56.4967

The time dependence of the survival probability, S(t), is determined for diffusing particles in two dimensions which are also driven by a random unidirectional zero-mean velocity field, v_x(y). For a semi-infinite system with unbounded y and x>0, and with particle absorption at x=0, a qualitative argument is presented which indicates that S(t)~t^{-1/4}. This prediction is supported by numerical simulations. A heuristic argument is also given which suggests that the longitudinal probability distribution of the surviving particles has the scaling form P(x,t)~ t^{-1}u^{1/3}g(u). Here the scaling variable u is proportional to x/t^{3/4}, so that the overall time dependence of P(x,t) is proportional to t^{-5/4}, and the scaling function g(u) has the limiting dependences g(u) approaching a constant as u--->0 and g(u)~exp(-u^{4/3}) as u--->infinity. This argument also suggests an effective continuum equation of motion for the infinite system which reproduces the correct asymptotic longitudinal probability distribution.

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

Survival Probability in a Random Velocity Field 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 Survival Probability in a Random Velocity Field, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Survival Probability in a Random Velocity Field will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-337404

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