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Low Dimensional Dynamics

Low Dimensional Dynamics
低维动力学
批准号:
0555463
负责人:
John Franks
金额:
$16.6万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-06-01 至 2009-05-31
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中文摘要
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英文摘要
Abstract for proposal DMS-0555463:This project investigates aspects of low dimensional dynamicalsystems. The study of such transformations, especially areapreserving ones, has a long history going back to Poincare andG. D. Birkhoff. In particular the project considers smooth groupactions on surfaces and the relation between the algebraic propertiesof the group and the dynamics the action exhibits. A related questionaddressed by this proposal is the question of the existence of globalfixed points for two-dimensional dynamical systems and how thisrelates to the algebraic properties of the system.This project investigates aspects of dynamical systems onsurfaces. There are numerous applications of results in this area tobroader fields of science, especially to classical mechanics and moremodern chaos theory. The novelty of the proposed research is that itaddresses the relationship between the algebraic nature of dynamicalsystems called ``group actions'' and the geometric or topologicalbehavior they exhibit. Anticipated results from this proposal willadvance our knowledge of dynamical systems and will explore newrelationships between dynamics and algebra.
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Dynamics on Surfaces
  • 批准号:
    0901122
  • 项目类别:
    Standard Grant
  • 资助金额:
    $42.0万
  • 财政年份:
    2009
  • 负责人:
    John Franks
  • 依托单位:
Dynamics on Two-Dimensional Surfaces
  • 批准号:
    0099640
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $31.0万
  • 财政年份:
    2001
  • 负责人:
    John Franks
  • 依托单位:
Research in Dynamical Systems
  • 批准号:
    9803346
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $27.51万
  • 财政年份:
    1998
  • 负责人:
    John Franks
  • 依托单位:
Mathematical Sciences: "Research in Dynamical Systems"
  • 批准号:
    9504760
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $13.5万
  • 财政年份:
    1995
  • 负责人:
    John Franks
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis