Steady-state moments under resetting to a distribution
Kristian Stølevik Olsen
Abstract
The nonequilibrium steady state emerging from stochastic resetting to a distribution is studied. We show that for a range of processes, the steady-state moments can be expressed as a linear combination of the moments of the distribution of resetting positions. The coefficients of this series are universal in the sense that they do not depend on the resetting distribution, only the underlying dynamics. We consider the case of a Brownian particle and a run-and-tumble particle confined in a harmonic potential, where we derive explicit closed-form expressions for all moments for any resetting distribution. Numerical simulations are used to verify the results, showing excellent agreement.
Topics & Concepts
Statistical physicsBrownian motionSteady state (chemistry)Distribution (mathematics)Range (aeronautics)Non-equilibrium thermodynamicsMoment (physics)PhysicsSeries (stratigraphy)Harmonic potentialState (computer science)HarmonicParticle (ecology)Dynamics (music)Classical mechanicsMathematicsMathematical analysisQuantum mechanicsMaterials scienceGeologyComposite materialAcousticsPaleontologyOceanographyAlgorithmChemistryPhysical chemistryBiologyDiffusion and Search Dynamicsstochastic dynamics and bifurcationMathematical and Theoretical Epidemiology and Ecology Models