Damron–Gravner–Junge–Lyu–Sivakoff parking-model questions
Consider the parking process on in which each site initially contains a car with probability and a parking spot with probability , independently, and cars perform independent discrete-time simple random walks until they park at the first available spot they encounter. For a fixed site , let be the number of visits to during the first rounds, let , and let denote a car's parking time. Determine the sharp asymptotic behavior of as , the tail for , and the divergence of as . The claimed target orders are for and for ; stretched-exponential parking-time bounds with exponent below criticality; and , , , and in dimensions , , , and , respectively.
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Progress summary
A new unrefereed preprint claims substantial progress on several lattice parking-process questions, but it does not establish that every original question is settled.
The questions concern visit counts, parking times, and critical behavior in the lattice parking process. Earlier work established important phase-transition and one-dimensional bounds, while higher-dimensional sharpness remained incomplete.
Known results
- Damron, Lyu, and Sivakoff (2020): stretched-exponential parking-time bounds for small , with an explicit dimension-dependent threshold; finiteness of for all in dimensions remained open.
- Przykucki, Roberts, and Scott (2019): at in one dimension, lies between logarithmically corrected bounds; for , .
- Earlier work established finite root visits for and infinite visits for .
September 2026 preprint
A new manuscript reports sharp asymptotic orders for site visits at criticality, stretched-exponential parking-time bounds below criticality, and dimension-dependent divergence as , linking these estimates to divisible-sandpile methods. These are claims from an unrefereed preprint, and its abstract does not specify which original questions are fully sharp.
Current status (as of September 2026): Earlier phase-transition and partial bounds are established, while the new preprint claims further sharp progress; independent verification and the exact scope of the resolution remain open.
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