2020
DOI: 10.48550/arxiv.2010.08767
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Bounds on the running maximum of a random walk with small drift

Ofer Busani,
Timo Seppäläinen

Abstract: We derive a lower bound for the probability that a random walk with i.i.d. increments and small negative drift µ exceeds the value x ą 0 by time N . When the moment generating functions are bounded in an interval around the origin, this probability can be bounded below by 1 ´Opx|µ| log N q. The approach is elementary and does not use strong approximation theorems.

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(2 citation statements)
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“…Appendix C states a positive lower bound on the running maximum of a random walk with a small negative drift that we use in a proof. This result is quoted from the technical note [5] that we have published separately.…”
Section: Introductionmentioning
confidence: 64%
See 1 more Smart Citation
“…Appendix C states a positive lower bound on the running maximum of a random walk with a small negative drift that we use in a proof. This result is quoted from the technical note [5] that we have published separately.…”
Section: Introductionmentioning
confidence: 64%
“…Consider the ratio-stationary inverse-gamma polymer with quenched path measure Q ρ 0,v and annealed measure P ρ 0,v p¨q " ErQ ρ 0,v p¨qs, as developed in Section 3. In this appendix we quote a random walk estimate from [5], used in the proof of Lemma 4.4. Let α n , β 1 n , β n be real sequences that satisfy 0 ă α n ď plog nq ´3 and |β n | `|β 1 n | " opα n q as n Ñ 8.…”
Section: Appendix B the Inverse-gamma Polymermentioning
confidence: 99%