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Low-Dimensional Topology and Fundamental Groups

Low-Dimensional Topology and Fundamental Groups
低维拓扑和基本群
批准号:
0604310
负责人:
Paul Kirk
金额:
$24.81万
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:
2006-07-01 至 2012-06-30

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中文摘要
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英文摘要
The PI will study problems in low-dimensional topology centered around the impact of the fundamental group on the geometric properties of a low dimensional manifold. Three general directions of investigation will be taken: an asymptotic geography problem for symplectic and smooth 4-manifolds with prescribed fundamental groups, surgery properties of the SU(3) Casson invariant, and the homotopy properties of the Atiyah-Patodi-Singer invariant associated to a unitary representation of the fundamental group of a manifold.The subject of topology is the study of properties of space that are unchanged under deformation or stretching. The fundamental group is a simple to define but very powerful mathematical object that measured how circles can be deformed in different spaces. Themost challenging spaces to study are the "low dimensional manifolds", i.e. those which have dimension 3 or 4, like the universe we live in. The PI proposes to study these using the fundamental group and its relation to the geometry and analysis of of a space.
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Low-dimensional topology; knot concordance and geography
  • 批准号:
    1007196
  • 项目类别:
    Standard Grant
  • 资助金额:
    $31.6万
  • 财政年份:
    2010
  • 负责人:
    Paul Kirk
  • 依托单位:
Spectral Invariants and Low-Dimensional Topology
  • 批准号:
    0202148
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $0.0万
  • 财政年份:
    2002
  • 负责人:
    Paul Kirk
  • 依托单位:
Problems in 3-Dimensional Topology and Gauge Theory and Applications
  • 批准号:
    9971020
  • 项目类别:
    Standard Grant
  • 资助金额:
    $7.17万
  • 财政年份:
    1999
  • 负责人:
    Paul Kirk
  • 依托单位:
Mathematical Sciences: Gauge Theory of 3-Manifolds: Spectral Flow & Chern-Simons Invariants
  • 批准号:
    9401196
  • 项目类别:
    Standard Grant
  • 资助金额:
    $4.5万
  • 财政年份:
    1995
  • 负责人:
    Paul Kirk
  • 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