English

Conserved Mass Models and Particle Systems in One Dimension

Statistical Mechanics 2007-05-23 v2

Abstract

In this paper we study analytically a simple one dimensional model of mass transport. We introduce a parameter pp that interpolates between continuous time dynamics (p0p\to 0 limit) and discrete parallel update dynamics (p=1p=1). For each pp, we study the model with (i) both continuous and discrete masses and (ii) both symmetric and asymmetric transport of masses. In the asymmetric continuous mass model, the two limits p=1p=1 and p0p\to 0 reduce respectively to the qq-model of force fluctuations in bead packs [S.N. Coppersmith et. al., Phys. Rev. E. {\bf 53}, 4673 (1996)] and the recently studied asymmetric random average process [J. Krug and J. Garcia, cond-mat/9909034]. We calculate the steady state mass distribution function P(m)P(m) assuming product measure and show that it has an algebraic tail for small mm, P(m)mβP(m)\sim m^{-\beta} where the exponent β\beta depends continuously on pp. For the asymmetric case we find β(p)=(1p)/(2p)\beta(p)=(1-p)/(2-p) for 0p<10\leq p <1 and β(1)=1\beta(1)=-1 and for the symmetric case, β(p)=(2p)2/(85p+p2)\beta(p)=(2-p)^2/(8-5p+p^2) for all 0p10\leq p\leq 1. We discuss the conditions under which the product measure ansatz is exact. We also calculate exactly the steady state mass-mass correlation function and show that while it decouples in the asymmetric model, in the symmetric case it has a nontrivial spatial oscillation with an amplitude decaying exponentially with distance.

Keywords

Cite

@article{arxiv.cond-mat/9910206,
  title  = {Conserved Mass Models and Particle Systems in One Dimension},
  author = {R. Rajesh and Satya N. Majumdar},
  journal= {arXiv preprint arXiv:cond-mat/9910206},
  year   = {2007}
}

Comments

14 pages, 5 figures, 1 table added, corrected typos, journal ref

R2 v1 2026-07-22T12:15:36.379Z