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- W2274318974 abstract "In the present work the asymmetric random average process (ARAP) is considered. This nonequilibrium model is defined on a one-dimensional periodic lattice and equipped with a stochastic nearest neighbour interaction. Its characteristics are continuous and unbounded state variables called masses. The local dynamics is given by asymmetric shifts of mass fragments whereby the transferred mass fragments are determined by an arbitrary probability density function φ called fraction density. We start with a formal definition of the ARAP and show that a lot of stochastic models can be formulated in terms of the ARAP by using suitable fraction densities. Focused on the ARAP with uniform φ-function exact solutions are derived by applying the matrix product ansatz for stochastic processes. We restrict to parallel dynamics, but allow for continuous and discrete masses. In case of continuous state variables we obtain a new kind of matrix algebra given by a functional equation. Furthermore, we determine analytically the complete set of ARAPs with exact product measure solutions. Here we restrict to state-independent fraction densities. Our results are derived for systems with parallel dynamics of arbitrary system size and adopted to continuous time dynamics. In addition, we establish the connection to the q-model of granular media and present an approximation method for arbitrary state-independent fraction densities. Finally, a simple truncated ARAP is introduced and studied. Here the transferred mass is restricted by a cutoff. We investigate this model by Monte-Carlo simulations, supplemented by analytical approximations. The phase diagram is derived, featuring a regime of broken ergodicity: the system can either be in a homogeneous high flow phase or in a phase characterized by an infinite aggregate, i.e. a finite fraction of the total mass resides on one lattice site. This phenomenon is very similar to Bose-Einstein condensation. Furthermore, the deep relation with the Krauss traffic model is clarified. We conclude with a comprehensive comparison to other models showing similar effects to emphasize the general relevance of the ARAP." @default.
- W2274318974 created "2016-06-24" @default.
- W2274318974 creator A5005718637 @default.
- W2274318974 date "2002-01-01" @default.
- W2274318974 modified "2023-09-24" @default.
- W2274318974 title "Asymmetric Random Average Processes" @default.
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