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From pseudo-random walk to pseudo-Brownian motion: first exit time from a one-sided or a two-sided interval

Published 28 Jan 2013 in math.PR | (1301.6579v1)

Abstract: Let $N$ be a positive integer, $c$ be a positive constant and $(U_n){n\ge 1}$ be a sequence of independent identically distributed pseudo-random variables. We assume that the $U_n$'s take their values in the discrete set ${-N,-N+1,...,N-1,N}$ and that their common pseudo-distribution is characterized by the \textit{(positive or negative) real} numbers [\mathbb{P}{U_n=k}=\delta{k0}+(-1){k-1} c\binom{2N}{k+N}] for any $k\in{-N,-N+1,...,N-1,N}$. Let us finally introduce $(S_n){n\ge 0}$ the associated pseudo-random walk defined on $\mathbb{Z}$ by $S_0=0$ and $S_n=\sum{j=1}n U_j$ for $n\ge 1$. In this paper, we exhibit some properties of $(S_n){n\ge 0}$. In particular, we explicitly determine the pseudo-distribution of the first overshooting time of a given threshold for $(S_n){n\ge 0}$ as well as that of the first exit time from a bounded interval. Next, with an appropriate normalization, we pass from the pseudo-random walk to the pseudo-Brownian motion driven by the high-order heat-type equation $\partial/\partial t=(-1){N-1} c\;\partial{2N}/$ $\partial x{2N}$. We retrieve the corresponding pseudo-distribution of the first overshooting time of a threshold for the pseudo-Brownian motion (Lachal, A.: First hitting time and place, monopoles and multipoles for pseudo-processes driven by the equation $\frac{\partial}{\partial t}=\pm \frac{\partialN}{\partial xN}$. Electron. J. Probab. 12 (2007), 300--353 [MR2299920]). In the same way, we get the pseudo-distribution of the first exit time from a bounded interval for the pseudo-Brownian motion which is a new result for this pseudo-process.

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