The dynamics of many important high-dimensional dynamical systems are both chaotic and complex, meaning that strong reducing hypotheses are required to understand the dynamics. The highly influential chaotic hypothesis of Gallavotti and Cohen states that the large-scale dynamics of high-dimensional systems are effectively hyperbolic, which implies many felicitous statistical properties. We demonstrate, contrary to the chaotic hypothesis, the existence of non-hyperbolic large-scale dynamics in a mean-field coupled system. To do this we reduce the system to its thermodynamic limit, which we approximate numerically with a Chebyshev basis transfer operator discretisation. This enables us to obtain a high precision estimate of a homoclinic tangency, implying a failure of hyperbolicity. Robust non-hyperbolic behaviour is expected under perturbation. As a result, the chaotic hypothesis should not be {\it a priori} assumed to hold in all systems, and a better understanding of the domain of its validity is required.
翻译:许多重要的高维动态系统的动态既混乱又复杂,这意味着需要强大的减少假设才能理解动态。Gallavotti和Cohen的极具影响力的混乱假设指出,高维系统的大规模动态实际上是超双曲的,这意味着许多实用的统计特性。我们证明,与混乱假设相反,在中层组合系统中存在非超双曲大动态。要做到这一点,我们就将系统降低到热动力极限,我们用数字来将温度动力极限与Chebyshev基基转移操作器的离散相近。这使我们能够获得对同临床的高度精确估计,这意味着超偏执性的失败。因此,在扰动下,可以预见到强势的非超偏执行为。因此,混乱假设不应被假定在所有系统中都存在,而且需要更好地了解其有效性的领域。