Optimal Transport and Applications

Lecture I
1.1 Notation and preliminary results 
1.2. Monge’s formulation of the optimal transport problem 
Lecture II 
2.1 Kantorovich’s formulation of the optimal transport problem
2.2 Transport plans versus transport maps
2.3 Advantage so Kantorovich’sformulation
2.4 Existence of optimalplans
Lecture III 
3.1 Convex Analysis tools 
3.2 Proof of duality via Fenchel-Rockafellar
3.3 The theory of c-duality
3.4 Proof of duality and dual attainment for bounded and continuous cost functions
Lecture IV 
4.1 Duality and necessary/sufficient optimality conditions for lower semicontinuous costs
4.2 Remarks about necessary and sufficient optimality conditions 
4.3 Remarks about c-cyclical monotonicity, c-concavity and c-transforms
4.3.1 Cost=distance^2 
4.3.2 Cost=distance 
4.3.3 Convex costs on the real line 
Lecture V 
5.1 Existence of optimal transport maps 
5.2 A digression about Monge’s problem 
5.3 Applications
5.4 Iterated monotone rearrangement
Lecture VI 
6.1. Isoperimetric inequality 
6.2 Stability of optimal plans and maps 
7 Lecture VII 
7.1 A general change of variables formula 
7.2 The Monge–Ampère equation 
7.3 Optimal transport on Riemannian manifolds. 
8 Lecture VIII 
8.1 The distance W_2 inP_2(X) 
8.2 Completeness of (P2(X),W2)
8.3 Characterization of convergence in (P_2(X),W2) and applications
9 Lecture IX
9.1 Absolutely continuous curves and their metric derivative 
9.2 Geodesics and action
9.3 Dynamic reformulation of the optimal transport problem 
10 Lecture 
10.1 Lower semicontinuity of the action 
10.2 Compactness criterion for curves and random curves
10.3 Lifting of geodesics from X to P_2(X) 
11 Lecture XI 
11.1 lambda-convex functions 
11.2 Differentiability of absolutely continuous curves 
11.3 Gradient flows 
12 Lecture XII 
12.1 Maximal monotone operators 
12.2 The implicit Euler scheme 
12.3 Reduction to initial conditions with finite energy 
12.4 Discrete EVI
13 Lecture XIII 
13.1 p-Laplace equation, heat equation in domains, Fokker-Planck equation 
13.2 The heat equation in Riemannian manifolds
13.3 Dual Sobolev space and heat flow
14 Lecture XIV 
14.1 EDE, EDI solutions and upper gradients 
4.2 Existence of EDE, EDI solutions
14.3 Proof of Theorem 14.7 via variational interpolation 
15 Lecture XV 
15.1 Semicontinuity of internal energies 
15.2 Convexity of internal energies
15.3 Potential energy functional
15.4 Interaction energy 
15.5 Functional inequalities via optimal transport 
16 Lecture XVI 
16.1 Continuity equation and transport equation
16.2 Continuity equation of geodesics in the Wasserstein space 
16.3 Hopf-Lax semigroup 
17 Lecture XVII 
17.1 Benamou-Brenier formula 
17.2 Correspondence between absolutely continuous curves in P_2(R^n) and solutions to the continuity equation
18 Lecture XVIII 
18.1 Otto’s calculus
18.2 Formal interpretation of some evolution equations as Wasserstein gradient flows
18.3 Rigorous interpretation of the heat equation as a Wasserstein gradient flow 
18.4 Morerecent ideas and developments
19 Lecture XIX 
9.1 Heat flow on Riemannian manifolds 
19.2 Heat flow, Optimal Transport and Ricci curvature