English

Limit theorems for affine Markov walks conditioned to stay positive

Probability 2016-01-13 v1

Abstract

Consider the real Markov walk Sn=X1++XnS_n = X_1+ \dots+ X_n with increments (Xn)n1\left(X_n\right)_{n\geq 1} defined by a stochastic recursion starting at X0=xX_0=x. For a starting point y>0y>0 denote by τy\tau_y the exit time of the process (y+Sn)n1\left( y+S_n \right)_{n\geq 1} from the positive part of the real line. We investigate the asymptotic behaviour of the probability of the event τyn\tau_y \geq n and of the conditional law of y+Sny+S_n given τyn\tau_y \geq n as n+n \to +\infty.

Keywords

Cite

@article{arxiv.1601.02991,
  title  = {Limit theorems for affine Markov walks conditioned to stay positive},
  author = {Ion Grama and Ronan Lauvergnat and Émile Le Page},
  journal= {arXiv preprint arXiv:1601.02991},
  year   = {2016}
}