Analytical Study of Giant Fluctuations and Temporal Intermittency in an Aggregation Model

Abstract

We study analytically giant fluctuations and temporal intermittency in a stochastic one-dimensional model with diffusion and aggregation of masses in the bulk, along with influx of single particles and outflux of aggregates at the boundaries. We calculate various static and dynamical properties of the total mass in the system for both biased and unbiased movement of particles and different boundary conditions. These calculations show that (i) in the unbiased case, the total mass has a non-Gaussian distribution and shows giant fluctuations which scale as system size (ii) in all the cases, the system shows strong intermittency in time, which is manifested in the anomalous scaling of the dynamical structure functions of the total mass. The results are derived by taking a continuum limit in space and agree well with numerical simulations performed on the discrete lattice. The analytic results obtained here are typical of the full phase of a more general model with fragmentation, which was studied earlier using numerical simulations.

References in corpus (3)

• Collective motion of self-propelled particles interacting without cohesion
• Burgers Turbulence
• Condensation and Extreme Value Statistics

Cited by in corpus (7)

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• Time evolution of intermittency in the passive slider problem
• Percolation of systems having hyperuniformity or giant number-fluctuations
• Aggregation Driven by a Localized Source