Clusters in the critical branching Brownian motion

Abstract

Brownian particles that are replicated and annihilated at equal rate have strongly correlated positions, forming a few compact clusters separated by large gaps. We characterize the distribution of the particles at a given time, using a definition of clusters in terms a coarse-graining length recently introduced by some of us. We show that, in a non-extinct realization, the average number of clusters grows as $\sim t^{D_{\mathrm{f}}/2}$ where $D_{\mathrm{f}}\approx 0.22$ is the Haussdoff dimension of the boundary of the super-Brownian motion, found by Mueller, Mytnik, and Perkins. We also compute the distribution of gaps between consecutive particles. We find two regimes separated by the characteristic length scale $\ell =\sqrt{D/\beta }$ where $D$ is the diffusion constant and $\beta$ the branching rate. The average number of gaps greater than $g$ decays as $\sim g^{D_{\mathrm{f}}-2}$ for $g\ll \ell$ and $\sim g^{-D_{\mathrm{f}}}$ for $g\gg \ell$. Finally, conditioned on the number of particles $n$, the above distributions are valid for $g\ll \sqrt{n}$; the average number of gaps greater than $g\gg \sqrt{n}$ is much less than one, and decays as $\simeq 4(g/\sqrt{n}{)}^{-2}$, in agreement with the universal gap distribution predicted by Ramola, Majumdar, and Schehr. Our results interpolate between a dense super-Brownian motion regime and a large-gap regime, unifying two previously independent approaches.

20 pages, 9 figure; v2, minor revisions, accepted version

References in corpus (8)

• Spatial extent of an outbreak in animal epidemics
• Universal Order and Gap Statistics of Critical Branching Brownian Motion
• Branching Brownian Motion Conditioned on Particle Numbers
• Clustering of branching Brownian motions in confined geometries
• Neutral Evolution as Diffusion in phenotype space: reproduction with mutation but without selection
• Clusters in an epidemic model with long-range dispersal
• Equivalence of mean-field avalanches and branching diffusions: From the Brownian force model to the super-Brownian motion
• More on the Brownian force model: avalanche shapes, tip driven, higher $d$

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