Abstract
In view of recurrence vs transience phenomena, the time \(T_y^0\) to reach a fixed integer state y starting at, say, the origin, may or may not be a finite random variable. Nevertheless, one may consider the possibly defective distribution of \(T_y^0\). An important stochastic analysis tool, referred to as the reflection principle, is used to make this calculation. With this analysis another important refinement of the recurrence property is identified for symmetric random walk, referred to as null recurrence, showing that while the walker is certain to reach y, the expected time \({\mathbb {E}}T_y^0 = \infty \). This refinement involves an application of Stirling’s asymptotic formula for n!, for which a proof is also provided. An extension to random walks on the integers that do not skip integer states to the left is also given.
Notes
- 1.
The proof presented here is due to Hofstad van der and Keane (2008) and also applies to symmetrically dependent walks, i.e., to partial sum sequences having exchangeable increments.
- 2.
This result is generally attributed to Kemperman (1950).
- 3.
- 4.
See Spitzer (1976) for this and related problems in the so-called potential theory of random walk.
References
Hofstad van der R, Keane M (2008) An elementary proof of the hitting time theorem. Amer Math Monthly 115(8):753–756.
Kemperman JHB (1950) The general one-dimensional random walk with absorbing barriers. Thesis, Excelsior, The Hague.
Konstantopoulos T (1995) Ballot theorems revisited. Statist Probab Lett 24:331–338.
Spitzer F (1976) Principles of random walk, 2nd edn. Springer, New York.
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Bhattacharya, R., Waymire, E.C. (2021). The Simple Random Walk II: First Passage Times. In: Random Walk, Brownian Motion, and Martingales. Graduate Texts in Mathematics, vol 292. Springer, Cham. https://doi.org/10.1007/978-3-030-78939-8_3
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