A problem in one-dimensional diffusion-limited aggregation (DLA) and positive recurrence of Markov chains

Mathematics – Probability

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Published in at http://dx.doi.org/10.1214/07-AOP379 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of

Scientific paper

10.1214/07-AOP379

We consider the following problem in one-dimensional diffusion-limited aggregation (DLA). At time $t$, we have an "aggregate" consisting of $\Bbb{Z}\cap[0,R(t)]$ [with $R(t)$ a positive integer]. We also have $N(i,t)$ particles at $i$, $i>R(t)$. All these particles perform independent continuous-time symmetric simple random walks until the first time $t'>t$ at which some particle tries to jump from $R(t)+1$ to $R(t)$. The aggregate is then increased to the integers in $[0,R(t')]=[0,R(t)+1]$ [so that $R(t')=R(t)+1$] and all particles which were at $R(t)+1$ at time $t'{-}$ are removed from the system. The problem is to determine how fast $R(t)$ grows as a function of $t$ if we start at time 0 with $R(0)=0$ and the $N(i,0)$ i.i.d. Poisson variables with mean $\mu>0$. It is shown that if $\mu<1$, then $R(t)$ is of order $\sqrt{t}$, in a sense which is made precise. It is conjectured that $R(t)$ will grow linearly in $t$ if $\mu$ is large enough.

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

A problem in one-dimensional diffusion-limited aggregation (DLA) and positive recurrence of Markov chains 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 A problem in one-dimensional diffusion-limited aggregation (DLA) and positive recurrence of Markov chains, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A problem in one-dimensional diffusion-limited aggregation (DLA) and positive recurrence of Markov chains will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-111103

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