Hostname: page-component-586b7cd67f-tf8b9 Total loading time: 0 Render date: 2024-11-23T06:56:31.720Z Has data issue: false hasContentIssue false

Transport problems and disintegration maps

Published online by Cambridge University Press:  03 June 2013

Luca Granieri
Affiliation:
Dipartimento di Matematica Politecnico di Bari, via Orabona 4, 70125 Bari, Italy. [email protected]; [email protected]
Francesco Maddalena
Affiliation:
Dipartimento di Matematica Politecnico di Bari, via Orabona 4, 70125 Bari, Italy. [email protected]; [email protected]
Get access

Abstract

By disintegration of transport plans it is introduced the notion of transport class. This allows to consider the Monge problem as a particular case of the Kantorovich transport problem, once a transport class is fixed. The transport problem constrained to a fixed transport class is equivalent to an abstract Monge problem over a Wasserstein space of probability measures. Concerning solvability of this kind of constrained problems, it turns out that in some sense the Monge problem corresponds to a lucky case.

Type
Research Article
Copyright
© EDP Sciences, SMAI, 2013

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abdellaoui, P.T. and Heinich, H., Caracterisation d’une solution optimale au probleme de Monge − Kantorovich. Bull. Soc. Math. France 127 (1999) 429443. Google Scholar
Ahmad, N., Kim, H.K. and McCann, R.J., Optimal transportation, topology and uniqueness. Bull. Math. Sci. 1 (2011) 13-32. Google Scholar
Ambrosio, L., Lecture Notes on Transport Problems, in Mathematical Aspects of Evolving Interfaces. Lect. Notes Math. vol. 1812. Springer, Berlin (2003) 152. Google Scholar
L. Ambrosio, N. Fusco and D. Pallara, Functions of Bounded Variation and Free Discontinuity Problems. Oxford University Press, New York (2000).
L. Ambrosio, N. Gigli and G. Savaré, Gradient Flows in Metric Spaces and in the Space of Probability Measures. Lect. Notes Math. ETH Zürich, Birkhäuser (2005).
Bernard, P., Young measures, superposition and transport. Indiana Univ. Math. J. 57 (2008) 247276. Google Scholar
Carlier, G. and Lachapelle, A., A Planning Problem Combining Calculus of Variations and Optimal Transport. Appl. Math. Optim. 63 (2011) 19. Google Scholar
Cuesta-Albertos, J.A. and Tuero-Diaz, A., A characterization for the Solution of the Monge − Kantorovich Mass Transference Problem. Statist. Probab. Lett. 16 (1993) 147152. Google Scholar
I. Fonseca and G. Leoni, Modern Methods in the Calculus of Variations: L p spaces. Springer (2007).
Gangbo, W., The Monge Transfer Problem and its Applications. Contemp. Math. 226 (1999) 79104. Google Scholar
Gonzalez-Hernandez, J. and Gonzalez-Hernandez, J., Extreme Points of Sets of Randomized Strategies in Constrained Optimization and Control Problems. SIAM J. Optim. 15 (2005) 10851104. Google Scholar
Gonzalez-Hernandez, J., Rigoberto Gabriel, J. and Gonzalez-Hernandez, J., On Solutions to the Mass Transfer Problem. SIAM J. Optim. 17 (2006) 485499. Google Scholar
L. Granieri, Optimal Transport and Minimizing Measures. LAP Lambert Academic Publishing (2010).
L. Granieri and F. Maddalena, A Metric Approach to Elastic reformations, preprint (2012), on http://cvgmt.sns.it.
Levin, V., Abstract Cyclical Monotonicity and Monge Solutions for the General Monge − Kantorovich Problem. Set-Valued Anal. 7 (1999) 732. Google Scholar
McAsey, M. and Mou, L., Optimal Locations and the Mass Transport Problem. Contemp. Math. 226 (1998) 131148. Google Scholar
A. Pratelli, Existence of optimal transport maps and regularity of the transport density in mass transportation problems, Ph.D. Thesis, Scuola Normale Superiore, Pisa (2003).
S.T. Rachev and L. Ruschendorf, Mass Transportation Problems, Probab. Appl. Springer-Verlag, New York I (1998).
C. Villani, Topics in Mass Transportation. Grad. Stud. Math., vol. 58. AMS, Providence, RI (2004).
C. Villani, Optimal Transport, Old and New. Springer (2009).