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Branching Annihilating Random Walks with Long-range Attraction in One Dimension by Park, Su-Chan is a scholarly article available to read on EtoBox.

What is Branching Annihilating Random Walks with Long-range Attraction in One Dimension about?

We introduce and numerically study the branching annihilating random walks with long-range attraction (BAWL). The long-range attraction makes hopping biased in such a manner that particle's hopping along the direction to the nearest particle has larger transition rate than hopping against the direction. Still, unlike the L\'evy flight, a particle only hops to one of its nearest-neighbor sites. The strength of bias takes the form $x^{-\sigma}$ with non-negative $\sigma$, where $x$ is the distance to the nearest particle from a particle to hop. By extensive Monte Carlo simulations, we show that the critical decay exponent $\delta$ varies continuously with $\sigma$ up to $\sigma=1$ and $\delta$ is the same as the critical decay exponent of the directed Ising (DI) universality class for $\sigma \ge 1$. Investigating the behavior of the density in the absorbing phase, we argue that $\sigma=1$ is indeed the threshold that separates the DI and non-DI critical behavior. We also show by Monte Carlo simulations that branching bias with symmetric hopping exhibits the same critical behavior as the BAWL.

Author

Park, Su-Chan

Published

2020

Language

EN