Abstract:The introduction of intermediate states in the dynamics of the voter model modifies the ordering process and restores an effective surface tension. The logarithmic coarsening of the conventional voter model in two dimensions is eliminated in favour of an algebraic decay of the density of interfaces with time, compatible with Model A dynamics at low temperatures. This phenomenon is addressed by deriving Langevin equations for the dynamics of appropriately defined continuous fields. These equations are analyzed … Show more
“…Such models with intermediate states have only recently begun receiving attention 30,31 in statistical physics literature, and we believe that this study is an important contribution to this body of literature.…”
We investigate consensus formation and the asymptotic consensus times in stylized individual- or agent-based models, in which global agreement is achieved through pairwise negotiations with or without a bias. Considering a class of individual-based models on finite complete graphs, we introduce a coarse-graining approach (lumping microscopic variables into macrostates) to analyze the ordering dynamics in an associated random-walk framework. Within this framework, yielding a linear system, we derive general equations for the expected consensus time and the expected time spent in each macro-state. Further, we present the asymptotic solutions of the 2-word naming game and separately discuss its behavior under the influence of an external field and with the introduction of committed agents.
“…Such models with intermediate states have only recently begun receiving attention 30,31 in statistical physics literature, and we believe that this study is an important contribution to this body of literature.…”
We investigate consensus formation and the asymptotic consensus times in stylized individual- or agent-based models, in which global agreement is achieved through pairwise negotiations with or without a bias. Considering a class of individual-based models on finite complete graphs, we introduce a coarse-graining approach (lumping microscopic variables into macrostates) to analyze the ordering dynamics in an associated random-walk framework. Within this framework, yielding a linear system, we derive general equations for the expected consensus time and the expected time spent in each macro-state. Further, we present the asymptotic solutions of the 2-word naming game and separately discuss its behavior under the influence of an external field and with the introduction of committed agents.
“…To illustrate our previous results, we now analyze a general class of 3-state models [13,14], known to exhibit curvature driven by surface tension, as recently shown in [15]. They are composed by two external absorbing states S = ±1, and an intermediate state S = 0.…”
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confidence: 84%
“…Interesting dynamical behaviors arise depending on the specific updating rules, the number of states and the functional form of the transition probabilities between configurations. For instance, it has been found that the addition of memory or inertia in the spin dynamics [11,12], the introduction of intermediate states [13][14][15], or the use of non-linear transitions [16], result in a drastic change of the coarsening properties and final outcome of the system.Despite that the dynamical rules of the models are very different in nature, many of them seem to share the same macroscopic behavior, such as coarsening and criticality. However, the minimal conditions that a microscopic dynamics must hold in order to observe a particular behavior have not been clearly identified yet.…”
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confidence: 99%
“…The analysis of this equation helps to understand some of the open questions about phase ordering in these systems, that is, whether the coarsening is driven by curvature like in the Ising model [17], or it is without surface tension like in the original voter model (VM) [4]. This approach also explains, from a different perspective than in [15], why adding intermediate states to the VM leads to an effective surface tension. Moreover, numerical simulations of the spin dynamics reveal the conditions on the interaction range, to observe the three possible classes of phase transitions unveiled in the Langevin equation [3].…”
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confidence: 99%
“…We want to derive a Langevin equation for the field φ r (t), that is a continuous representation of the spin at site r, at time t. For this we follow a standard approach (see [15]), and consider an ensemble of Ω copies of the system, each copy representing a particular spin configuration. This is equivalent to assume Ω spin particles at each site of the lattice (our microscopic model corresponds exactly to Ω = 1, but this substitution can be made at the end of the calculation).…”
We propose a general approach to study spin models with two symmetric absorbing states. Starting from the microscopic dynamics on a square lattice, we derive a Langevin equation for the time evolution of the magnetization field, that successfully explains coarsening properties of a wide range of nonlinear voter models and systems with intermediate states. We find that the macroscopic behavior only depends on the first derivatives of the spin-flip probabilities. Moreover, an analysis of the mean-field term reveals the three types of transitions commonly observed in these systems-generalized voter, Ising and directed percolation. Monte Carlo simulations of the spin dynamics qualitatively agree with theoretical predictions.
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A c c e p t e d m a n u s c r i p tIndependence and interdependence in the nest-site choice by honeybee swarms: agent-based models, analytical approaches and pattern formation In a recent paper List, Elsholtz and Seeley [List et al. 2009] have devised an agent-based model of the the nest-choice dynamics in swarms of honeybees, and have concluded that both interdependence and independence are needed for the bees to reach a consensus on the best nest site. We here present a simplified version of the model which can be treated analytically with the tools of statistical physics and which largely has the same features as the original dynamics. Based on our analytical approaches it is possible to characterize the co-ordination outcome exactly on the deterministic level, and to a good approximation if stochastic effects are taken into account, reducing the need for computer simulations on the agent-based level. In the second part of the paper we present a spatial extension, and show that transient non-trivial patterns emerge, before consensus is reached. Approaches in terms of Langevin equations for continuous field variables are discussed.
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