The influence of numerical noises on statistics computation of chaotic dynamic systems
Xiaoming Li, Shijun Liao

TL;DR
This paper investigates how numerical noises affect statistical calculations in chaotic systems, revealing that such noises are negligible at equilibrium but significantly impact non-equilibrium systems, challenging the reliability of direct simulations.
Contribution
It demonstrates that numerical noises can be negligible in equilibrium but significantly distort statistics in non-equilibrium chaotic systems, highlighting limitations of current simulation methods.
Findings
Numerical noises are negligible for time-independent statistics.
Numerical noises significantly affect time-dependent statistics.
Direct numerical simulations may not reliably compute statistics for non-equilibrium systems.
Abstract
It is well known that chaotic dynamic systems (such as three-body system, turbulent flow and so on) have the sensitive dependance on initial conditions (SDIC). Unfortunately, numerical noises (such as truncation error and round-off error) always exist in practice. Thus, due to the SDIC, long-term accurate prediction of chaotic dynamic systems is practically impossible, and therefore numerical simulations of chaos are only mixtures of "true" solution with physical meanings and numerical noises without physical meanings. However, it is traditionally believed that statistic computations based on such kind of "mixtures" of numerical simulations of chaotic dynamic systems are acceptable. In this paper, using the so-called "clean numerical simulation" (CNS) whose numerical noises might be much smaller even than micro-level physical uncertainty and thus are negligible, we gain accurate…
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Taxonomy
TopicsChaos control and synchronization · Quantum chaos and dynamical systems · Neural Networks and Applications
