Research notes on every problem, and a library of the papers behind them. Built from the open erdos repository.
Updated
Statement
Setting (p. 141). For the symmetric nearest-neighbor walk on started at the origin, is the number of returns to the origin in the first steps and (). All logarithms are natural. Fix a constant , which the context takes positive. The event is the event .
Equation (3.6) (p. 142). For every ,
The paper states no range of for (3.6).
Equation (3.11) (p. 143). There is a constant , depending on , such that for large enough
Since , together they say that , with the logarithmic power depending on and, in the lower bound, on .
Source. P. Erdős and S. J. Taylor, Some problems concerning the structure of random walk paths, Acta Math. Acad. Sci. Hungar. 11 (1960), 137--162: and on p. 141, (3.6) on p. 142, (3.10) and (3.11) on p. 143. The edition read is identified on the source card.
Read depth. Claims checked: both displays and their quantifiers were read on the printed pages; the exponent in (3.6) is as printed. The paper gives (3.6) without a derivation beyond saying that the method for (3.5) suffices. The derivation of (3.11) on p. 143 was read for the pointer below and not checked step by step. Nothing here is independently reviewed.
Proof pointer
For (3.11), p. 143: with and , having returns by time forces each of disjoint blocks of consecutive return gaps to take at most steps. These blocks are independent and each has the law of , the time of the -th return, so the probability is at most . Since (the paper prints on the right, a slip), the fixed-range estimate (3.10) of Theorem 1's derivation bounds each factor by times , and the product gives (3.11). For (3.6) the paper refers to the lower-bound method of (3.5), which forces returns by bounding each of the required gaps.
Dependencies
Equation (2.5) and the estimate (3.10), from the same section.
Bears on
Problem 1165: the original-walk estimate of Hao, Li, Okada and Zheng, Lemma 2.5 is attributed there to (3.11); the corpus records that lemma among the inputs to their Theorem 1.1, which answers the problem, and the lemma's page proves its estimate by its own return-probability argument. The paper itself uses (3.6) and (3.11) for its planar bounds on maximum local time (p. 162), whose upper half is recorded at the planar maximum multiplicity page.