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A nonlinear theory of distributional geometry.
1Institute of Analysis and Scientific Computing, TU Wien, 1040 Vienna, Austria.
This study introduces a nonlinear theory for generalized tensor fields, extending prior work on nonlinear generalized functions. It develops a non-smooth differential geometry using generalized metrics, showing curvature preservation for smooth metrics.
Area of Science:
- Differential Geometry
- Nonlinear Generalized Functions
- Tensor Field Theory
Background:
- Builds upon the established theory of nonlinear generalized functions.
- Addresses the need for diffeomorphism-invariant nonlinear theories of generalized tensor fields.
Purpose of the Study:
- To extend the theory of nonlinear generalized functions to generalized tensor fields.
- To introduce and develop a non-smooth theory of differential geometry.
- To investigate the properties of generalized metrics and their associated curvature.
Main Methods:
- Introduced the generalized Lie derivative and demonstrated its commutation properties.
- Defined a generalized covariant derivative that commutes with embedding.
- Developed a generalized metric to formulate a non-smooth differential geometry.
Main Results:
- Established a diffeomorphism-invariant nonlinear theory of generalized tensor fields with the sheaf property.
- Showed that embedding continuous metrics results in generalized metrics with well-defined connection and curvature.
- Demonstrated that for C^2 metrics, curvature is preserved at the level of association, with a conical metric example yielding delta function curvature.
Conclusions:
- The developed theory provides a framework for non-smooth differential geometry.
- Generalized metrics offer a robust approach to defining curvature in non-smooth spaces.
- The findings have implications for understanding generalized tensor fields and their geometric properties.
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