1973
DOI: 10.1007/bfb0059845
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The Metrical Theory of Jacobi-Perron Algorithm

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Cited by 52 publications
(35 citation statements)
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“…For more details, see for instance [13]. The dynamical system defined by ~ on the unit square has been much studied [40], in particular its invariant measures and its unique invariant ergodic probability measure equivalent to Lebesgue measure [14], [15] (generalization of the classical Gauss measure) .…”
mentioning
confidence: 99%
“…For more details, see for instance [13]. The dynamical system defined by ~ on the unit square has been much studied [40], in particular its invariant measures and its unique invariant ergodic probability measure equivalent to Lebesgue measure [14], [15] (generalization of the classical Gauss measure) .…”
mentioning
confidence: 99%
“…There are a lot of generalizations of continued fractions for the simultaneous case, starting with the work of Jacobi [11] which lead to the Jacobi-Perron-Algorithm (JPA) [20,28,26,2,8]. However, the JPA is not able to compute solutions to such approximation quality as we will require in our proposed commitment scheme (cf.…”
Section: Theoremmentioning
confidence: 99%
“…Werke published in 1891, [19]. In 1907, Perron [27] developed a generalization of this algorithm for higher dimensions (for a complete survey about the Jacobi-Perron algorithm see [10] and [30]). Further results on the Jacobi-Perron algorithm can be found in [28] and [36].…”
Section: Introductionmentioning
confidence: 99%