Abstract

There are three results each concerning large but remote deterministic time intervals at which excursions of a process away from the origin must occur. The first result gives a sufficient condition for a persistent random walk with a finite fourth moment. In this instance the aforementioned time intervals include an additional requirement that the walk is far away from the origin. The second result gives a necessary and a sufficient condition for similar excursions in the case of Brownian motion. The third result gives a necessary and a sufficient condition for time intervals to be free of the zeros of a class of persistent natural scale linear diffusions on the line and is equivalent to the determination of recurrent sets at infinity of the inverse local time.

Highlights

  • There are three results each concerning large but remote deterministic time intervals at which excursions of a process away from the origin must occur

  • The first result gives a sufficient condition for a persistent random walk with a finite fourth moment

  • In this instance the aforementioned time intervals include an additional requirement that the walk is far away from the origin

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Summary

Times away from the origin

They show that under mild growth conditions on a deterministic sequence of times, {2ni}, a simple random walk (unit step with probability 1/2 in either direction) returns to its starting position at infinitely many of these times, w.p.1, if and only if n−i 1/2 diverges. According to the Skorokhod Embeding Theorem, [2], on some probability space (Ω, A, P ) a standard Brownian motion (B(t), t ≥ 0) and an increasing sequence of ECP 21 (2016), paper 62. Given the position y of the path at time a ( = time a − s = a − a − r for B), the probability of a hit of (−c , c ) during [a , a + b ] is the same as an unconditional hit during [0, b ] for a brand new Brownian starting at place y.

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