Reaction-subdiffusion and reaction-superdiffusion equations for evanescent particles performing continuous time random walks

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

Starting from a continuous time random walk (CTRW) model of particles that may evanesce as they walk, our goal is to arrive at macroscopic integro-differential equations for the probability density for a particle to be found at point r at time t given that it started its walk from r_0 at time t=0. The passage from the CTRW to an integro-differential equation is well understood when the particles are not evanescent. Depending on the distribution of stepping times and distances, one arrives at standard macroscopic equations that may be "normal" (diffusion) or "anomalous" (subdiffusion and/or superdiffusion). The macroscopic description becomes considerably more complicated and not particularly intuitive if the particles can die during their walk. While such equations have been derived for specific cases, e.g., for location-independent exponential evanescence, we present a more general derivation valid under less stringent constraints than those found in the current literature.

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

Reaction-subdiffusion and reaction-superdiffusion equations for evanescent particles performing continuous time random walks 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 Reaction-subdiffusion and reaction-superdiffusion equations for evanescent particles performing continuous time random walks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Reaction-subdiffusion and reaction-superdiffusion equations for evanescent particles performing continuous time random walks will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-649248

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