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事件空间中完整力学系统的梯度表示
引用本文:吴惠彬,梅凤翔.事件空间中完整力学系统的梯度表示[J].物理学报,2015,64(23):234501-234501.
作者姓名:吴惠彬  梅凤翔
作者单位:1. 北京理工大学数学学院, 北京 100081;2. 北京理工大学宇航学院, 北京 100081
基金项目:国家自然科学基金(批准号: 10932002, 11272050)资助的课题.
摘    要:本文研究事件空间中完整力学系统的梯度表示和分数维梯度表示, 建立系统的微分方程并将其表示为一阶形式, 给出系统成为梯度系统的条件以及成为分数维梯度系统的条件. 最后, 举例说明结果的应用.

关 键 词:完整系统  事件空间  梯度  分数维动力学
收稿时间:2015-06-01

A gradient representation of holonomic system in the event space
Wu Hui-Bin,Mei Feng-Xiang.A gradient representation of holonomic system in the event space[J].Acta Physica Sinica,2015,64(23):234501-234501.
Authors:Wu Hui-Bin  Mei Feng-Xiang
Institution:1. School of Mathematics, Beijing Institute of Technology, Beijing 100081, China;2. School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China
Abstract:The dynamics research in the event space has important geometric and mechanical meanings, and great progress has been made in this field. A gradient system is a kind of important systems in differential equations and dynamical systems, and is receiving more and more attention. In this paper, a gradient representation and a fractional gradient representation of a holonomic system in the event space are studied. First, the differential equations of motion for the system are established and expressed in the first order form. Second, we have obtained the condition under which the system can be considered as a gradient system and also the condition under which the system can be considered as a fractional gradient system. When a constrained mechanical system is transformed into a gradient system or a fractional gradient system, one can use the properties of the gradient system or the fractional gradient system to study the integration and the stability of a constrained mechanical system. Finally, two examples are given to illustrate the application of the results. The event space is known as more extensive than the configuration space, therefore, the result in the configuration space is a special case of this paper.
Keywords:holonomic system  event space  gradient  fractional dynamics
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