Quantized linear systems on integer lattices: a frequency-based approach
Igor G. Vladimirov

TL;DR
This paper models and analyzes the effects of quantization errors in linear dynamical systems on integer lattices using a frequency-based probabilistic approach, revealing statistical properties and distributional behaviors of errors.
Contribution
It introduces a frequency measurable framework for studying quantized linear systems, extending classical results to a probabilistic setting and establishing new limit theorems for error deviations.
Findings
Quantization errors are frequency measurable quasiperiodic subsets with geometric probabilities.
Errors exhibit mutual independence and uniform distribution under certain conditions.
A functional central limit theorem describes the trajectory deviations when the system is similar to an orthogonal matrix.
Abstract
The roundoff errors in computer simulations of continuous dynamical systems, caused by finiteness of machine arithmetic, can lead to qualitative discrepancies between phase portraits of the resulting spatially discretized systems and the original systems. These effects can be modelled on a multidimensional integer lattice by using a dynamical system obtained by composing the transition operator of the original system with a quantizer. Such models manifest pseudorandomness which can be studied using a rigorous probability theoretic approach. To this end, the lattice is endowed with a class of frequency measurable subsets and a spatial frequency functional as a finitely additive probability measure on them. Using a multivariate version of Weyl's equidistribution criterion, we introduce an algebra of frequency measurable quasiperiodic subsets of the lattice. This approach is…
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Taxonomy
TopicsMathematical Dynamics and Fractals · Topological and Geometric Data Analysis
