Aggregation with constant kernel under stochastic resetting

Pascal Grange*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

The model of binary aggregation with constant kernel is subjected to stochastic resetting: aggregates of any size explode into monomers at independent stochastic times. These resetting times are Poisson distributed, and the rate of the process is called the resetting rate. The master equation yields a Bernoulli-type equation in the generating function of the concentration of aggregates of any size, which can be solved exactly. This resetting prescription leads to a non-equilibrium steady state for the densities of aggregates, which is a function of the size of the aggregate, rescaled by a function of the resetting rate. The steady-state density of aggregates of a given size is maximized if the resetting rate is set to the quotient of the aggregation rate by the size of the aggregate (minus one).

Original languageEnglish
Article number294001
JournalJournal of Physics A: Mathematical and Theoretical
Volume54
Issue number29
DOIs
Publication statusPublished - Jul 2021

Keywords

  • aggregation process
  • stochastic processes
  • stochastic resetting

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