2016
DOI: 10.1007/s10569-016-9711-2
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Rigorous estimates for the relegation algorithm

Abstract: Abstract. We revisit the relegation algorithm by Deprit et al. (2001) in the light of the rigorous Nekhoroshev's like theory. This relatively recent algorithm is nowadays widely used for implementing closed form analytic perturbation theories, as it generalises the classical Birkhoff normalisation algorithm. The algorithm, here briefly explained by means of Lie transformations, has been so far introduced and used in a formal way, i.e. without providing any rigorous convergence or asymptotic estimates. The over… Show more

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Cited by 13 publications
(9 citation statements)
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“…We give here a sketch of the proof of Proposition 1.1. The proof is based on standard arguments in the Lie series theory, that we recall here, referring to, e.g., [7,11,26], for more details.…”
Section: Proof Of Proposition 11mentioning
confidence: 99%
“…We give here a sketch of the proof of Proposition 1.1. The proof is based on standard arguments in the Lie series theory, that we recall here, referring to, e.g., [7,11,26], for more details.…”
Section: Proof Of Proposition 11mentioning
confidence: 99%
“…The key estimates that allow to complete the proof are reported in Lemma 4.4 in Section 4. We do not report here all the (tedious) details since similar results have been already published in, e.g., [7,9,10,11,12,39,34].…”
Section: The Normal Formmentioning
confidence: 97%
“…Remark 6. Once having computed the Poisson bracket by applying formula (19), we substitute φ with e sin u in all produced terms depending on the equation of the center.…”
Section: Remark 1 Given Two Functionsmentioning
confidence: 99%
“…However, it is obvious that, even if ω 1 << ω 2 , the method may not converge if the coefficients k 1 , k 2 are such that k 1 ω 1 /k 2 ω 2 ≥ 1. We refer to [19] for more details about the convergence of the relegation algorithm.…”
Section: Introductionmentioning
confidence: 99%