Geodesics and generalized geodesics: Difference between revisions
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<ref name="Santambrogio"> [https://link-springer-com.proxy.library.ucsb.edu:9443/book/10.1007/978-3-319-20828-2 F. Santambrogio, ''Optimal Transport for Applied Mathematicians'', Chapter 1, pages 202-207] </ref> | <ref name="Santambrogio"> [https://link-springer-com.proxy.library.ucsb.edu:9443/book/10.1007/978-3-319-20828-2 F. Santambrogio, ''Optimal Transport for Applied Mathematicians'', Chapter 1, pages 202-207] </ref> | ||
<ref name="Ambrosio | <ref name="Ambrosio"> [https://link.springer.com/book/10.1007/b137080 L.Ambrosio, N.Gilgi, G.Savaré, '' | ||
Gradient Flows in Metric Spaces and in the Space of Probability Measures'', Chapter 7.2., pages 158-160] </ref> | Gradient Flows in Metric Spaces and in the Space of Probability Measures'', Chapter 7.2., pages 158-160] </ref> | ||
</references> | </references> |
Revision as of 13:18, 8 June 2020
Introduction
There are many ways that we can describe Wasserstein metric. One of them is to characterize absolutely continuos curves (AC)(p.188[1]) and provide a dynamic formulation of the special case Namely, it is possible to see as an infimum of the lengts of curves that satisfy Continuity equation
().
Statement of Theorem
- Theorem.(Benamow-Brenier)[1] Let ,
Generalization
case from ...Cite error: Closing </ref>
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- ↑ 1.0 1.1 Cite error: Invalid
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- ↑ [https://link.springer.com/book/10.1007/b137080 L.Ambrosio, N.Gilgi, G.Savaré, Gradient Flows in Metric Spaces and in the Space of Probability Measures, Chapter 7.2., pages 158-160]