Branching-selection particle systems and inverse first passage problems

Abstract

A generalised inverse first passage problem asks whether, given a probability measure p on [0,∞], one can find a boundary b:[0,∞] R such that the stopping time:\[τ:=∈f\t:Λ∫0t ω(Ws-b(s))ds ≥ U\\] has distribution p, where U Exp(1), Λ∈(0,∞) and ω is a monotonic decreasing function. We construct a branching-selection particle system whose hydrodynamic limit is governed by a free boundary problem and connect this to the generalised inverse first passage problem. In the N-particle system, particles move as independent Brownian motions, branch at a prescribed rate, and are removed at a rate proportional to their location relative to a position bN(t) which is a function of the empirical distribution. We identify the limit of bN as the solution of the inverse first passage problem.

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