The content delves into constructing an almost periodic function for arbitrary bounded discrete time series without relying on Fourier transform. By discretizing the time series and employing permutation operators, the author establishes statistical features and conditional probabilities. The main theorem asserts the existence of a suitable function approximating the time series locally, leading to an almost periodic function as time progresses. Through detailed proofs and examples, the author demonstrates how this approach can be applied to dynamical systems and linear regression relations, ultimately showcasing the convergence to an almost periodic function.
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by Tsuyoshi Yon... at arxiv.org 03-04-2024
https://arxiv.org/pdf/2310.00290.pdfDeeper Inquiries