Matchings and the variance of Lipschitz functions
ESAIM: Probability and Statistics, Tome 13 (2009), pp. 400-408.

We are interested in the rate function of the moderate deviation principle for the two-sample matching problem. This is related to the determination of 1-Lipschitz functions with maximal variance. We give an exact solution for random variables which have normal law, or are uniformly distributed on the euclidean ball.

DOI : 10.1051/ps:2008018
Classification : 60D05, 60F10, 26D10
Mots-clés : matching problem, large deviations, variance, spectral gap, euclidean ball
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Barthe, Franck; O’Connell, Neil. Matchings and the variance of Lipschitz functions. ESAIM: Probability and Statistics, Tome 13 (2009), pp. 400-408. doi : 10.1051/ps:2008018. http://archive.numdam.org/articles/10.1051/ps:2008018/

[1] M. Ajtai, J. Komlós and G. Tusnády, On optimal matchings. Combinatorica 4 (1984) 259-264. | Zbl

[2] S.G. Bobkov and F. Götze, Exponential integrability and transportation cost related to logarithmic Sobolev inequalities. J. Funct. Anal. 163 (1999) 1-28. | Zbl

[3] R.M. Dudley, The speed of mean Glivenko-Cantelli convergence. Ann. Math. Stat. 40 (1969) 40-50. | Zbl

[4] A. Ganesh and N. O'Connell, Large and moderate deviations for matching problems and empirical discrepancies. Markov Process. Relat. Fields 13 (2007) 85-98. | Zbl

[5] M. Ledoux, Sur les déviations modérées des sommes de variables aléatoires vectorielles indépendantes de même loi. Ann. Inst. H. Poincaré, Probab. Statist. 28 (1992) 267-280. | Numdam | MR | Zbl

[6] M. Ledoux, Concentration of measure and logarithmic Sobolev inequalities, in Séminaire de Probabilités, XXXIII, Lect. Notes Math. 1709 120-216. Springer, Berlin (1999). | Numdam | MR | Zbl

[7] C. Müller, Spherical harmonics IV. Springer-Verlag, Berlin-Heidelberg-New York (1966). | MR | Zbl

[8] C. Müller and F. Weissler, Hypercontractivity for the heat semigroup for ultraspherical polynomials and on the n-sphere. J. Funct. Anal. 48 (1982) 252-283. | MR | Zbl

[9] S.T. Rachev, Probability Metrics and the Stability of Stochastic Models. Wiley (1991). | MR | Zbl

[10] P.W. Shor, Random planar matching and bin packing, Ph.D. thesis, M.I.T., 1985.

[11] M. Talagrand, Matching theorems and empirical discrepancy computations using majorizing measures. J. Amer. Math. Soc. 7 (1994) 455-537. | MR | Zbl

[12] M. Talagrand, Transportation cost for Gaussian and other product measures. Geom. Funct. Anal. 6 (1996) 587-600. | MR | Zbl

[13] L. Wu, Large deviations, moderate deviations and LIL for empirical processes. Ann. Probab. 22 (1994) 17-27. | MR | Zbl

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