Conjectured distributional limit for the quenched CLT error in one-dimensional random environments

From papers

Let Fn,ωF_{n,\omega} be the quenched distribution function associated with the hitting time TnT_n of a one-dimensional random walk in a random environment, and let Φ\Phi denote the standard normal distribution function. For κ(2,3)\kappa\in(2,3), consider the rescaled quenched central limit theorem error

n323κFn,ωΦ.n^{\frac{3}{2}-\frac{3}{\kappa}}\left\|F_{n,\omega}-\Phi\right\|_\infty.

Distributional-limit conjecture. If κ(2,3)\kappa\in(2,3), then

n323κFn,ωΦn^{\frac{3}{2}-\frac{3}{\kappa}}\left\|F_{n,\omega}-\Phi\right\|_\infty

converges in distribution to a non-degenerate random variable on (0,)(0,\infty). Theorem gives the corresponding order of the maximal quenched CLT error, but the multiplicative factor oscillates between 00 and \infty depending on ω\omega and nn; identifying a limiting distribution remains open.

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Sources & referencesView supporting material

Primary source

Sung Won Ahn and Jonathon Peterson, “Optimal rates of convergence for quenched central limit theorem rates for hitting times of one-dimensional random walks in random environments”, arXiv:2001.11522 (2021).

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