Random acceleration process under stochastic resetting
Prashant Singh

TL;DR
This paper investigates the behavior of a randomly accelerated particle under stochastic resetting, analyzing stationary states, scaling laws, and first passage times for different resetting protocols with both theoretical derivations and numerical validation.
Contribution
It introduces and analyzes two resetting protocols for a randomly accelerated particle, deriving stationary distributions, scaling behaviors, and first passage time properties, which were not previously studied.
Findings
Complete resetting leads to stationary joint distribution of position and velocity.
Partial resetting results in transient states with position distribution scaling as x/√t.
Resetting can make the mean first passage time finite or infinite depending on the protocol.
Abstract
We consider the motion of a randomly accelerated particle in one dimension under stochastic resetting mechanism. Denoting the position and velocity by and respectively, we consider two different resetting protocols - (i) complete resetting: here both and reset to their initial values and at a constant rate , (ii) partial resetting: here only resets to while evolves without interruption. For complete resetting, we find that the particle attains stationary state in both and . We compute the non-equilibrium joint stationary state of and and also study the late time relaxation of the distribution function. On the other hand, for partial resetting, the joint distribution is always in the transient state. At large , the position distribution possesses a scaling behaviour which we rigorously derive. Next, we study…
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