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Variational construction of positive entropy measures of Lagrangian systems and Arnold diffusion (CROSBI ID 227242)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Slijepčević, Siniša Variational construction of positive entropy measures of Lagrangian systems and Arnold diffusion // Ergodic theory & dynamical systems, 40 (2020), 3; 799-864. doi: 10.1017/etds.2018.59

Podaci o odgovornosti

Slijepčević, Siniša

engleski

Variational construction of positive entropy measures of Lagrangian systems and Arnold diffusion

We develop a variational method for constructing positive entropy invariant measures of Lagrangian systems without assuming transversal intersections of stable and unstable manifolds, and without restrictions to the size of non-integrable perturbations. We apply it to a family of 21 2 degrees of freedom a priori unstable Lagrangians, and show that if we assume that there is no topological obstruction to diffusion (precisely formulated in terms of topological non-degeneracy of minima of the Peierls barrier), then there exists a vast family of `horseshoes', such as `shadowing' ergodic positive entropy measures having precisely any closed set of invariant tori in its support. Furthermore, we give bounds on the topological entropy and the `drift acceleration' in any part of a region of instability in terms of a certain extremal value of the Fr ' echet derivative of the action functional, generalizing the angle of splitting of separatrices. The method of construction is new, and relies on study of formally gradient dynamics of the action (coupled parabolic semilinear partial differential equations on unbounded domains). We apply recently developed techniques of precise control of the local evolution of energy (in this case the Lagrangian action), energy dissipation and flux.

Variational construction ; positive entropy ; Lagrangian systems

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Podaci o izdanju

40 (3)

2020.

799-864

objavljeno

0143-3857

1469-4417

10.1017/etds.2018.59

Povezanost rada

Matematika

Poveznice
Indeksiranost