Limit theorems for affine Markov walks conditioned to stay positive

preprint2016arXivOpen access

Abstract

Consider the real Markov walk Sn=X1+⋯+XnS_n = X_1+ \dots+ X_n with increments (Xn)n≥1\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 τyτ_y the exit time of the process (y+Sn)n≥1\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 τy≥nτ_y \geq n and of the conditional law of y+Sny+S_n given τy≥nτ_y \geq n as n→+∞n \to +\infty.

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