Gradient Flows in Metric Spaces and in the Space of Probability Measures /
This book is devoted to a theory of gradient ?ows in spaces which are not nec- sarily endowed with a natural linear or di?erentiable structure. It is made of two parts, the ?rst one concerning gradient ?ows in metric spaces and the second one 2 1 devoted to gradient ?ows in the L -Wasserstein space...
Κύριοι συγγραφείς: | , , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Basel :
Birkhäuser Basel,
2005.
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Σειρά: | Lectures in Mathematics ETH Zürich
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Gradient Flow in Metric Spaces
- Curves and Gradients in Metric Spaces
- Existence of Curves of Maximal Slope and their Variational Approximation
- Proofs of the Convergence Theorems
- Uniqueness, Generation of Contraction Semigroups, Error Estimates
- Notation
- Gradient Flow in the Space of Probability Measures
- Preliminary Results on Measure Theory
- The Optimal Transportation Problem
- The Wasserstein Distance and its Behaviour along Geodesics
- Absolutely Continuous Curves in Pp(X) and the Continuity Equation
- Convex Functionals in Pp(X)
- Metric Slope and Subdifferential Calculus in Pp(X)
- Gradient Flows and Curves of Maximal Slope in Pp(X).