1996
DOI: 10.1103/physreve.53.179
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Geometric description of chaos in two-degrees-of-freedom Hamiltonian systems

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Cited by 63 publications
(62 citation statements)
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“…More recently, we have reconsidered the Riemannian geometric approach and, with the aid of numerical simulations on the FPU-β model, we have discovered why the previous attempts failed: the dominant mechanism for chaotic instability in physically relevant geodesics flows is parametric instability due to curvature variations along the geodesics, and not necessarily geodesic flows on negatively curved manifolds [24,36,37,38,39,40]. On this basis, we have started the formulation of a Riemannian theory of Hamiltonian chaos which applies to dynamical systems described by a standard Lagrangian function…”
Section: Riemannian Geometry Of Chaos In the Fpu-β Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…More recently, we have reconsidered the Riemannian geometric approach and, with the aid of numerical simulations on the FPU-β model, we have discovered why the previous attempts failed: the dominant mechanism for chaotic instability in physically relevant geodesics flows is parametric instability due to curvature variations along the geodesics, and not necessarily geodesic flows on negatively curved manifolds [24,36,37,38,39,40]. On this basis, we have started the formulation of a Riemannian theory of Hamiltonian chaos which applies to dynamical systems described by a standard Lagrangian function…”
Section: Riemannian Geometry Of Chaos In the Fpu-β Modelmentioning
confidence: 99%
“…(13) may exhibit an exponentially growing envelope even if the curvature R(s) is everywhere positive but non constant. For example, in the case of the celebrated Hénon-Heiles model [6], the scalar curvature R, computed with the Jacobi metric, is always positive despite the existence of fully developed chaos above some threshold energy [39]. As a matter of fact, the generic condition of physically relevant systems (like coupled anharmonic oscillators on d-dimensional lattices) is that Ricci and scalar curvatures of the mechanical manifolds are neither constant nor everywhere negative, and the straightforward approach based on Eq.…”
Section: Riemannian Geometry Of Chaos In the Fpu-β Modelmentioning
confidence: 99%
“…2.1.3 that it was Krylov who first realized the relevance of mixing for statistical mechanics, and the relevance of the stability properties of geodesics on Riemannian manifolds of negative curvature for mixing. More recently, the geometric approach has been reconsidered with the aid of numerical simulations, finding out that the dominant mechanism for dynamical instability in physically relevant geodesics flows is parametric instability due to curvature variations along the geodesics, instead of the negative curvature [141,142,143,144]. For a dynamical system described by the Lagrangian function…”
Section: Geometric Formalism and The Methods Of Estimating The Largestmentioning
confidence: 99%
“…Now, the microcanonical ensemble averages of K R (q) and of its variance can be computed in terms of the corresponding quantities in the canonical ensemble as follows. The canonical configurational partition function Z(η) is given by 144) where dq = N i=1 dq i . The canonical average K R can of the Ricci curvature K R follows as…”
Section: Geometric Calculation Of λ For Fpu-βmentioning
confidence: 99%
“…To this end different metrics are used in literature. Among them, the Eisenhart [16], Finsler [17], Horwitz [18]- [21] or Jacobi [22]- [29] are worth mentioning. We consider the Jacobi metric obtained from the Maupertuis' Principle (1744), where geodesics [30] [31] (natural motions) are identified with trajectories of the system, and the stability can be analyzed through the study of the curvature of this Riemannian manifold via the Jacobi-Levi-Civita equations (JLC) [31].…”
Section: Introductionmentioning
confidence: 99%