2019
DOI: 10.1088/1361-6544/ab500d
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Effective bounds for the measure of rotations

Abstract: A fundamental question in Dynamical Systems is to identify regions of phase/parameter space satisfying a given property (stability, linearization, etc). Given a family of analytic circle diffeomorphisms depending on a parameter, we obtain effective (almost optimal) lower bounds of the Lebesgue measure of the set of parameters that are conjugated to a rigid rotation. We estimate this measure using an a-posteriori KAM scheme that relies on quantitative conditions that are checkable using computer-assistance. We … Show more

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Cited by 8 publications
(2 citation statements)
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References 59 publications
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“…Again, by imposing further the first Melnikov condition (see Definition 2.1), we obtain analytic solutions. Finally, according to Equation (15), the new parametrization is…”
Section: Resolution Of the Invariance Equation For Kmentioning
confidence: 99%
See 1 more Smart Citation
“…Again, by imposing further the first Melnikov condition (see Definition 2.1), we obtain analytic solutions. Finally, according to Equation (15), the new parametrization is…”
Section: Resolution Of the Invariance Equation For Kmentioning
confidence: 99%
“…Another advantage of the parametrization method is that it can be quite easily converted to a computer-assisted proof, once that an analytical proof of the convergence of the algorithm to the solution is provided. This has already been done for what concerns KAM Lagrangian tori in [14] and [15], therefore the extension to the lower dimensional case appears quite natural.…”
Section: Conclusion and Perspectives 17 1 Introductionmentioning
confidence: 98%