##
Person:
de la Llave,
Rafael

de la Llave,
Rafael

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## Publication Search Results

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#### An introduction to KAM theory II: The twist theorem

2019-03-30
,
de la Llave, Rafael

The KAM (Kolmogorov Arnold and Moser) theory studies
the persistence of quasi-periodic solutions under perturbations.
It started from a basic set of theorems and it has grown
into a systematic theory that settles many questions.
The basic theorem is rather surprising since it involves delicate
regularity properties of the functions considered, rather
subtle number theoretic properties of the frequency as well
as geometric properties of the dynamical systems considered.
In these lectures, we plan to cover a complete proof of
a particularly representative theorem in KAM theory.
The first lecture covered all the prerequisites
(analysis, number theory and geometry). In this second lecture
we will present a complete proof of Moser's twist map theorem
(indeed a generalization to more dimensions).
The proof also lends itself to very efficient numerical algorithms.
If there is interest and energy, we will devote a third lecture
to numerical implementations.

Item

#### An introduction to KAM theory I: the basics

2019-03-29
,
de la Llave, Rafael

The KAM (Kolmogorov Arnold and Moser) theory studies
the persistence of quasi-periodic solutions under perturbations.
It started from a basic set of theorems and it has grown
into a systematic theory that settles many questions.
The basic theorem is rather surprising since it involves delicate
regularity properties of the functions considered, rather
subtle number theoretic properties of the frequency as well
as geometric properties of the dynamical systems considered.
In these lectures, we plan to cover a complete proof of
a particularly representative theorem in KAM theory.
In the first lecture we will cover all the prerequisites
(analysis, number theory and geometry). In the second lecture
we will present a complete proof of Moser's twist map theorem
(indeed a generalization to more dimensions).
The proof also lends itself to very efficient numerical algorithms.