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Research notes on every problem, and a library of the papers behind them. Built from the open erdos repository.

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Statement

Setting (p. 141). For the symmetric nearest-neighbor walk on Z2\mathbb Z^2 started at the origin, RnR_n is the number of returns to the origin in the first nn steps and Tn=Rn/log⁡nT_n=R_n/\log n (n≥3n\ge3). All logarithms are natural. Fix a constant kk, which the context takes positive. The event {Tn≥klog⁡n}\{T_n\ge k\log n\} is the event {Rn≥k(log⁡n)2}\{R_n\ge k(\log n)^2\}.

Equation (3.6) (p. 142). For every ε>0\varepsilon>0,

P{Tn≥klog⁡n}≥e−kπlog⁡n(log⁡n)2kπ(1+ε).\mathbf P\{T_n\ge k\log n\}\ge \frac{e^{-k\pi\log n}}{(\log n)^{2k\pi(1+\varepsilon)}}.

The paper states no range of nn for (3.6).

Equation (3.11) (p. 143). There is a constant c4c_4, depending on kk, such that for large enough nn

P{Tn≥klog⁡n}≤e−πklog⁡n(log⁡n)c4.\mathbf P\{T_n\ge k\log n\}\le e^{-\pi k\log n}(\log n)^{c_4}.

Since e−πklog⁡n=n−πke^{-\pi k\log n}=n^{-\pi k}, together they say that P{Rn≥k(log⁡n)2}=n−πk(log⁡n)O(1)\mathbf P\{R_n\ge k(\log n)^2\}=n^{-\pi k}(\log n)^{O(1)}, with the logarithmic power depending on kk and, in the lower bound, on ε\varepsilon.

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: RnR_n and TnT_n 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 2kπ(1+ε)2k\pi(1+\varepsilon) 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 s=[k(log⁡n)2]s=[k(\log n)^2] and t=[klog⁡n]t=[k\log n], having ss returns by time nn forces each of [log⁡n][\log n] disjoint blocks of tt consecutive return gaps to take at most nn steps. These blocks are independent and each has the law of WtW_t, the time of the tt-th return, so the probability is at most P{Wt≤n}[log⁡n]\mathbf P\{W_t\le n\}^{[\log n]}. Since P{Wt≤n}=P{Rn≥t}\mathbf P\{W_t\le n\}=\mathbf P\{R_n\ge t\} (the paper prints P{Rn<t}\mathbf P\{R_n<t\} on the right, a slip), the fixed-range estimate (3.10) of Theorem 1's derivation bounds each factor by e−πke^{-\pi k} times 1+O(log⁡log⁡n/log⁡n)1+O(\log\log n/\log n), 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.