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Symmetry, Integrability and Geometry: Methods and Applications, 2019, Volume 15, 013, 22 pp.
DOI: https://doi.org/10.3842/SIGMA.2019.013
(Mi sigma1449)
 

This article is cited in 3 scientific papers (total in 3 papers)

Block-Separation of Variables: a Form of Partial Separation for Natural Hamiltonians

Claudia Maria Chanu, Giovanni Rastelli

Dipartimento di Matematica, Università di Torino, Torino, via Carlo Alberto 10, Italy
Full-text PDF (438 kB) Citations (3)
References:
Abstract: We study twisted products $H=\alpha^rH_r$ of natural autonomous Hamiltonians $H_r$, each one depending on a separate set, called here separate $r$-block, of variables. We show that, when the twist functions $\alpha^r$ are a row of the inverse of a block-Stäckel matrix, the dynamics of $H$ reduces to the dynamics of the $H_r$, modified by a scalar potential depending only on variables of the corresponding $r$-block. It is a kind of partial separation of variables. We characterize this block-separation in an invariant way by writing in block-form classical results of Stäckel separation of variables. We classify the block-separable coordinates of $\mathbb E^3$.
Keywords: Stäckel systems; partial separation of variables; position-dependent time parametrisation.
Received: August 7, 2018; in final form February 14, 2019; Published online February 23, 2019
Bibliographic databases:
Document Type: Article
MSC: 70H05; 37J15; 70H06
Language: English
Citation: Claudia Maria Chanu, Giovanni Rastelli, “Block-Separation of Variables: a Form of Partial Separation for Natural Hamiltonians”, SIGMA, 15 (2019), 013, 22 pp.
Citation in format AMSBIB
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\by Claudia~Maria~Chanu, Giovanni~Rastelli
\paper Block-Separation of Variables: a Form of Partial Separation for Natural Hamiltonians
\jour SIGMA
\yr 2019
\vol 15
\papernumber 013
\totalpages 22
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  • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Symmetry, Integrability and Geometry: Methods and Applications
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