Papers › Extreme statistics and spacing distribution in a Brownian gas correlated by resetting
Extreme statistics and spacing distribution in a Brownian gas correlated by resetting
Marco Biroli, Hernan Larralde, Satya N. Majumdar, Gregory Schehr
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We study a one-dimensional gas of N Brownian particles that diffuse independently, but are {\it simultaneously} reset to the origin at a constant rate r. The system approaches a non-equilibrium stationary state (NESS) with long-range interactions induced by the simultaneous resetting. Despite the presence of strong correlations, we show that several observables can be computed exactly, which include the global average density, the distribution of the position of the k-th rightmost particle and the spacing distribution between two successive particles. Our analytical results are confirmed by numerical simulations. We also discuss a possible experimental realisation of this resetting gas using optical traps.
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