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What is the origin of macroscopic randomness (uncertainty)? This is one of the most fundamental open questions for human being. In this paper, 10000 samples of reliable (convergent), multiple-scale (from 1.0E-60 to 100) numerical…

Chaotic Dynamics · Physics 2015-09-09 Shijun Liao , Xiaoming Li

In this paper a new concept, namely the critical predictable time $T_c$, is introduced to give a more precise description of computed chaotic solutions of nonlinear differential equations: it is suggested that computed chaotic solutions are…

Chaotic Dynamics · Physics 2010-06-01 Shijun Liao

The famous three-body problem is investigated by means of a numerical approach with negligible numerical noises in a long enough time interval, namely the Clean Numerical Simulation (CNS). From physical viewpoints, position of any bodies…

Chaotic Dynamics · Physics 2014-05-23 Shijun Liao

Traditionally, Probability theory was dealing with limit theorems where 'limit" means that time tends to infinity. Questions about finite time dynamics (evolution) were always considered as, although important for practical applications,…

Chaotic Dynamics · Physics 2025-12-19 Leonid Bunimovich , Kirill Kovalenko

The gravitational three-body problem is a rich open problem, dating back to Newton. It serves as a prototypical example of a chaotic system and has numerous applications in astrophysics. Generically, the motion is non-integrable and…

General Relativity and Quantum Cosmology · Physics 2021-04-14 Barak Kol

Chaos is omnipresent in nature, and its understanding provides enormous social and economic benefits. However, the unpredictability of chaotic systems is a textbook concept due to their sensitivity to initial conditions, aperiodic behavior,…

Chaos is widely understood as being a consequence of sensitive dependence upon initial conditions. This is the result of an instability in phase space, which separates trajectories exponentially. Here, we demonstrate that this criterion…

Chaotic Dynamics · Physics 2017-06-28 Marc Pradas , Alain Pumir , Greg Huber , Michael Wilkinson

Chaos is present in most stellar dynamical systems and manifests itself through the exponential growth of small perturbations. Exponential divergence drives time irreversibility and increases the entropy in the system. A numerical…

Instrumentation and Methods for Astrophysics · Physics 2020-02-19 Tjarda Boekholt , Simon Portegies Zwart , Mauri Valtonen

We illustrate that, like the truncation error, the round-off error has a significant influence on the reliability of numerical simulations of chaotic dynamic systems. Due to the butterfly-effect, all numerical approaches in double precision…

Chaotic Dynamics · Physics 2019-08-13 Shijie Qin , Shijun Liao

We report a phenomenon that physical perturbations sometimes can benefit the certainty of a free-fall motion with chaotic modes, albeit, as commonly believed, they can ruin it. We statistically compare those factors that may lead to…

Chaotic Dynamics · Physics 2022-06-28 Tianzhuang Xu , Bo Zhang , Jing Li , Zhihui Li , Shijuan Liao

We find that localised perturbations in a chaotic classical many-body system-- the classical Heisenberg We find that the effects of a localised perturbation in a chaotic classical many-body system--the classical Heisenberg chain at infinite…

The mechanism responsible for the emergence of chaotic behavior has been identified analytically within a class of three-dimensional dynamical systems which generalize the well-known E.N. Lorenz 1963 system. The dynamics in the phase space…

Chaotic Dynamics · Physics 2007-05-23 R. Festa , A. Mazzino , D. Vincenzi

The butterfly effect is today commonly identified with the sensitive dependence of deterministic chaotic systems upon initial conditions. However, this is only one facet of the notion of unpredictability pioneered by Lorenz, who actually…

Fluid Dynamics · Physics 2020-07-07 Simon Thalabard , Jérémie Bec , Alexei Mailybaev

The ``butterfly effect'', i.e. the growth of a localized infinitesimal perturbation, is the fundamental property of chaotic systems. While the butterfly effect is today an obvious property of low-dimensional chaotic systems, its…

Atmospheric and Oceanic Physics · Physics 2026-05-12 V. J. Valadão , M. Cencini , F. De Lillo , S. Musacchio , G. Boffetta

The predictability problem for systems with different characteristic time scales is investigated. It is shown that even in simple chaotic dynamical systems, the leading Lyapunov exponent is not sufficient to estimate the predictability…

chao-dyn · Physics 2009-10-31 G. Boffetta , P. Giuliani , G. Paladin , A. Vulpiani

The fundamental laws of physics are time-symmetric, but our macroscopic experience contradicts this. The time reversibility paradox is partly a consequence of the unpredictability of Newton's equations of motion. We measure the dependence…

Chaotic Dynamics · Physics 2022-09-09 Simon Portegies Zwart , Tjarda Boekholt

The publication of Principia Mathematica in 1678 by Newton became known the celestial bodies motion laws, which characterize the Classical Mechanics. Thereafter made sense to search about the movement of these bodies from known initial…

History and Overview · Mathematics 2022-12-26 Rosário Laureano , Manuel Alberto M. Ferreira

Reliable prediction of large chaotic sytems in the short to middle time range is of interest in a number of fields, including climate, ecology, seismology, and economics. In this paper, results from chaos theory, and statistical theory are…

Applications · Statistics 2013-12-17 M. LuValle

Linear equations with periodic coefficients describe the behavior of various dynamical systems. This studying is devoted to their applications to the planetary restricted three-body problem (RTBP). Here we consider the Laplace method for…

Earth and Planetary Astrophysics · Physics 2024-08-09 Alexey Rosaev , Eva Plavalova

We study the chaotic dynamics in a classical many-body system of interacting spins on the kagome lattice. We characterise many-body chaos via the butterfly effect as captured by an appropriate out-of-time-ordered correlator. Due to the…

Statistical Mechanics · Physics 2018-12-26 Thomas Bilitewski , Subhro Bhattacharjee , Roderich Moessner
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