Abstract
The goals of this chapter are to: Introduce the Kantorovich and Kantorovich–Rubinstein problems in one-dimensional and multidimensional settings; Provide examples illustrating applications of the abstract problems; Provide examples illustrating applications of the abstract problems; Discuss the multivariate Kantorovich and Kantorovich–Rubinstein theorems, which provide dual representations of certain types of minimal distances and norms; Discuss a particular application leading to an explicit representation for a class of minimal norms.
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Notes
- 1.
The program of the conference and related materials are available online at http://www.mccme.ru/%5C~ansobol/otarie/MK2012conf.html.
- 2.
- 3.
See, for example, Bazaraa and Jarvis [2005].
- 4.
See also the general discussion in Whittle (1982, p. 210–211).
- 5.
See Gray (1988, p. 48).
- 6.
- 7.
See, for example, Bazaraa and Jarvis [2005].
- 8.
- 9.
See Fortet and Mourier [1953].
- 10.
See Dunford and Schwartz [1988, p. 65].
- 11.
See also Dudley [2002, Theorem 11.6.2].
- 12.
See Sect. 2.2 of Chap. 2.
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Rachev, S.T., Klebanov, L.B., Stoyanov, S.V., Fabozzi, F.J. (2013). Monge–Kantorovich Mass Transference Problem, Minimal Distances and Minimal Norms. In: The Methods of Distances in the Theory of Probability and Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4869-3_5
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