Branching Random Walks, Stable Point Processes and Regular Variation
classification
🧮 math.PR
keywords
pointbranchingconditionprocessprocessesrandomregularstable
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Using the language of regular variation, we give a sufficient condition for a point process to be in the superposition domain of attraction of a strictly stable point process. This sufficient condition is then used to obtain an explicit representation of the weak limit of a sequence of point processes induced by a branching random walk with jointly regularly varying displacements. As a consequence, we extend the main result of Durrett (1983) and verify that two related predictions of Brunet and Derrida (2011) remain valid for this model.
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