A probabilistic Takens theorem. (31st July 2020)

• Record Type: Journal Article
• Authors: Barański, Krzysztof; Gutman, Yonatan; Śpiewak, Adam
• Is Part Of: Nonlinearity. Volume 33:Number 9(2020)
• Page Start: 4940
• Page End: 4966
• Publication Date: 2020-07-31
• Subjects: Takens delay embedding theorem -- probabilistic embedding -- Hausdorff dimension -- box-counting dimension; 37C45 -- 28A78 -- 28A80; Nonlinear theories -- Periodicals; Mathematical analysis -- Periodicals; Mathematical analysis; Nonlinear theories; Periodicals; 515
• DOI: 10.1088/1361-6544/ab8fb8
• Languages: English
• ISSNs: 0951-7715

Abstract

Abstract: Let X ⊂ R N be a Borel set, μ a Borel probability measure on X and T : X → X a locally Lipschitz and injective map. Fix k ∈ N strictly greater than the (Hausdorff) dimension of X and assume that the set of p -periodic points of T has dimension smaller than p for p = 1, …, k − 1. We prove that for a typical polynomial perturbation h ̃ of a given locally Lipschitz function h : X → R, the k -delay coordinate map x ↦ ( h ̃ ( x ), h ̃ ( T x ), …, h ̃ ( T k − 1 x ) ) is injective on a set of full μ -measure. This is a probabilistic version of the Takens delay embedding theorem as proven by Sauer, Yorke and Casdagli. We also provide a non-dynamical probabilistic embedding theorem of similar type, which strengthens a previous result by Alberti, Bölcskei, De Lellis, Koliander and Riegler. In both cases, the key improvements compared to the non-probabilistic counterparts are the reduction of the number of required coordinates from 2 dim X to dim X and using Hausdorff dimension instead of the box-counting one. We present examples showing how the use of the Hausdorff dimension improves the previously obtained results.