English

Inverse first-passage problems of a diffusion with resetting

Probability 2024-10-23 v1

Abstract

We address some inverse problems for the first-passage place and the first-passage time of a one-dimensional diffusion process X(t)\mathcal X(t) with stochastic resetting, starting from an initial position X(0)=η;\mathcal X(0)= \eta ; this type of diffusion X(t)\mathcal X(t) is characterized by the fact that a reset to the position xRx_R can occur according to a homogeneous Poisson process with rate r>0.r>0. As regards the inverse first-passage place problem, for random η(0,b), b<+\eta \in (0,b), \ b < + \infty (and fixed rr and xR(0,b))x_R \in (0,b)), let τ0,b\tau_{0,b} be the first time at which X(t)\mathcal X(t) exits the interval (0,b),(0,b), and π0=P(X(τ0,b)=0)\pi _0 = P(\mathcal X(\tau_{0,b}) = 0) the probability of exit from the left end of (0,b);(0,b); given a probability q(0,1),q \in (0,1), the inverse first-passage place problem consists in finding the density gg of η,\eta , if it exists, such that π0=q.\pi _0 = q. Concerning the inverse first-passage time problem, for random η(0,+)\eta \in (0, + \infty) (and fixed rr and xR>0)x_R >0), let τ\tau be the first-passage time of X(t)\mathcal X(t) through zero; for a given distribution function F(t)F(t) on the positive real axis, the inverse first-passage time problem consists in finding the density gg of η,\eta, if it exists, such that P(τt)=F(t), t>0.P(\tau \le t ) = F(t), \ t >0. In addition to the case of random initial position η,\eta, we also study the case when the initial position η\eta and the resetting rate rr are fixed, whereas the reset position xRx_R is random. For all types of inverse problems considered, several explicit examples of solutions are reported.

Keywords

Cite

@article{arxiv.2410.16889,
  title  = {Inverse first-passage problems of a diffusion with resetting},
  author = {Mario Abundo},
  journal= {arXiv preprint arXiv:2410.16889},
  year   = {2024}
}

Comments

Accepted for publication in Theory of Probability and Mathematical Statistics

R2 v1 2026-06-28T19:31:16.662Z