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arxiv: 2505.08285 · v2 · pith:WU5UCWSJnew · submitted 2025-05-13 · 🧮 math.PR · math.CA

Limit theorems for elephant random walks remembering the very recent past, with applications to the Takagi-van der Waerden class functions

classification 🧮 math.PR math.CA
keywords functionsclassrandomtakagi-vanwaerdenwalkselephanterwvrp
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We study the Takagi-van der Waerden functions $f_r (x)$, a well-known class of continuous but nowhere differentiable functions, from probabilistic point of view. As an application of elephant random walks remembering the very recent past (ERWVRP, a.k.a. symmetric correlated random walks), we obtain precise estimates for the oscillations of $f_r (x)$. We also establish a result on the necessary and sufficient condition for localization of the ERWVRP with variable step length, which can be applied to obtain a complete description of the differentiability properties of the Takagi-van der Waerden class functions.

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  1. Elephant random walk with attributed steps and extractions of random sizes

    math.PR 2026-04 unverdicted novelty 6.0

    A market choice model with random-size sampling from past customers is represented as an elephant random walk variant, with proofs of almost sure convergence of S_n/n and regime-dependent distributional limits for scaled S_n.