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 uniformly hyperbolic, which implies many felicitous statistical properties. We obtain direct and reliable numerical evidence, contrary to the chaotic hypothesis, of the existence of non-hyperbolic large-scale dynamical structures 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 uniform 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的高度有影响的混乱假设表明,高维系统的大规模动态实际上具有一致的超偏斜,这意味着许多实用的统计特性。我们获得了直接可靠的数字证据,与混乱的假设相反,这种证据表明,在一种平均场合的系统中存在着非超级大型动态结构。要做到这一点,我们就应该将系统降低到其热力极限,我们用一个Chebyshev基基转移操作员的离散性来进行数值上的近似。这使我们能够获得对同性临床的高度精确估计,这意味着一个统一的超偏执性的失败。预期在扰动下会出现强势非顺从性的行为。因此,混乱假设不应该被假定在所有系统中都存在,并且需要更好地了解其有效性的领域。