Excited Random Walk in a Markovian Environment
Nicholas Travers

TL;DR
This paper investigates excited random walks in Markovian environments, extending known results from i.i.d. environments to more general settings, and characterizes key properties like transience, recurrence, and speed without assuming cookie positivity.
Contribution
It demonstrates that many properties from i.i.d. environments, including thresholds for transience and speed positivity, also hold in a broad class of Markovian environments.
Findings
Thresholds for transience and recurrence extend to Markovian environments.
Results on the positivity of the walk's speed are generalized.
Limiting distribution results are applicable in Markovian settings.
Abstract
One dimensional excited random walk has been extensively studied for bounded, i.i.d. cookie environments. In this case, many important properties of the walk including transience or recurrence, positivity or non-positivity of the speed, and the limiting distribution of the position of the walker are all characterized by a single parameter , the total expected drift per site. In the more general case of stationary ergodic environments, things are not so well understood. If all cookies are positive then the same threshold for transience vs. recurrence holds, even if the cookie stacks are unbounded. However, it is unknown if the threshold for transience vs. recurrence extends to the case when cookies may be negative (even for bounded stacks), and moreover there are simple counterexamples to show that the threshold for positivity of the speed does not. It is thus natural to study…
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