Exact solution of a class of one-dimensional nonequilibrium stochastic models

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

14 pages, no figures. To appear in Physical Review E (2001)

Scientific paper

10.1103/PhysRevE.63.056112

We consider various one-dimensional non-equilibrium models, namely the {\it diffusion-limited pair-annihilation and creation model} (DPAC) and its unbiased version (the Lushnikov's model), the DPAC model with particle injection (DPACI), as well as (biased) diffusion-limited coagulation model (DC). We study the DPAC model using an approach based on a duality transformation and the generating function of the dual model. We are able to compute exactly the density and correlation functions in the general case with arbitrary initial states. Further, we assume that a source injects particles in the system. Solving, via the duality transformation, the equations of motions of the density and the non-instantaneous two-point correlation functions, we see how the source affects the dynamics. Finally we extend the previous results to the DC model with help of a {\it similarity transformation}.

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

Exact solution of a class of one-dimensional nonequilibrium stochastic models 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 Exact solution of a class of one-dimensional nonequilibrium stochastic models, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Exact solution of a class of one-dimensional nonequilibrium stochastic models will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-629394

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