首页> 外文期刊>Discrete and continuous dynamical systems >A FORMULA FOR THE BOUNDARY OF CHAOS IN THE LEXICOGRAPHICAL SCENARIO AND APPLICATIONS TO THE BIFURCATION DIAGRAM OF THE STANDARD TWO PARAMETER FAMILY OF QUADRATIC INCREASING-INCREASING LORENZ MAPS
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A FORMULA FOR THE BOUNDARY OF CHAOS IN THE LEXICOGRAPHICAL SCENARIO AND APPLICATIONS TO THE BIFURCATION DIAGRAM OF THE STANDARD TWO PARAMETER FAMILY OF QUADRATIC INCREASING-INCREASING LORENZ MAPS

机译:二次增长的Lorenz映射的标准两个参数族的分形图中混沌边界的公式及其在分叉图中的应用

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The Geometric Lorenz Attractor has been a source of inspiration for many mathematical studies. Most of these studies deal with the two or one dimensional representation of its first return map. A one dimensional scenario (the increasing-increasing one's) can be modeled by the standard two parameter family of contracting Lorenz maps. The dynamics of any member of the standard family can be modeled by a subshift in the Lexicographical model of two symbols. These subshifts can be considered as the maximal invariant set for the shift map in some interval, in the Lexicographical model. For all of these subshifts, the lower extreme of the interval is a minimal sequence and the upper extreme is a maximal sequence. The Lexicographical world (LW) is precisely the set of sequences (lower extreme, upper extreme) of all of these subshifts. In this scenario the topological entropy is a map from LW onto the interval [0, log 2]. The boundary of chaos (that is the boundary of the set of (a, b) is an element of LW such that h(top)(a,b) > 0) is given by a map b = chi(a), which is defined by a recurrence formula. In the present paper we obtain an explicit formula for the value chi(a) for a in a dense set contained in the set of minimal sequences. Moreover, we apply this computation to determine regions of positive topological entropy for the standard quadratic family of contracting increasing-increasing Lorenz maps.
机译:几何洛伦兹吸引子一直是许多数学研究的灵感之源。这些研究大多数涉及其第一张返回图的二维或一维表示。一维场景(不断增加的场景)可以通过标准的两参数收缩Lorenz映射来建模。标准家族中任何成员的动态都可以通过两个符号的词法模型中的子移位来建模。在词典模型中,这些子移位可以视为在一定间隔内移位映射的最大不变集。对于所有这些子换档,区间的最低限度为最小序列,最高限度为最大序列。词典世界(LW)恰好是所有这些子换档的序列集(下限,上限)。在这种情况下,拓扑熵是从LW到间隔[0,log 2]的映射。混沌的边界(即(a,b)集的边界是LW的一个元素,使得h(top)(a,b)> 0)由映射b = chi(a)给出。由重复公式定义。在本文中,我们获得了包含在最小序列集中的密集集中a的值chi(a)的明确公式。此外,我们应用此计算方法来确定收缩的递增-递增的Lorenz映射的标准二次族的正拓扑熵区域。

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