2021
DOI: 10.1007/s10884-021-10100-7
|View full text |Cite
|
Sign up to set email alerts
|

Robust Exponential Mixing and Convergence to Equilibrium for Singular-Hyperbolic Attracting Sets

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
0
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(3 citation statements)
references
References 46 publications
0
0
0
Order By: Relevance
“…Having in mind the above discussion, assume that the attractor A + has C 2 -robust convergence to equilibrium (for example, a hyperbolic attractor as in [11] or the Lorenz attractor as in [5]). Supposing moreover the hypothesis of Proposition 4.1, we obtain that A + has robust convergence to equilibrium.…”
Section: Robust Spontaneous Stochasticitymentioning
confidence: 99%
See 2 more Smart Citations
“…Having in mind the above discussion, assume that the attractor A + has C 2 -robust convergence to equilibrium (for example, a hyperbolic attractor as in [11] or the Lorenz attractor as in [5]). Supposing moreover the hypothesis of Proposition 4.1, we obtain that A + has robust convergence to equilibrium.…”
Section: Robust Spontaneous Stochasticitymentioning
confidence: 99%
“…The classical results on the ergodic theory of hyperbolic flows show that a -hyperbolic attractor satisfying the C-dense condition of Bowen–Ruelle (density of the stable manifold of some orbit) has -robust convergence to equilibrium, see [11, Theorem 5.3]. In the last decades, many statistical properties have been studied for the larger class of singular hyperbolic attractors, which includes the hyperbolic and the Lorenz attractors; see for example [3] as a basic reference and [1, 2, 4, 5] for more recent advances. Robust convergence to equilibrium was naturally conjectured for such attractors [10, Problem E.4].…”
Section: Robust Spontaneous Stochasticitymentioning
confidence: 99%
See 1 more Smart Citation