On fine properties of mixtures with respect to concentration of measure and Sobolev type inequalities
Résumé
Mixtures are convex combinations of laws. Despite this simple definition, a mixture can be far more subtle than its mixed components. For instance, mixing Gaussian laws may produce a potential with multiple deep wells. We study in the present work fine properties of mixtures with respect to concentration of measure and Sobolev type functional inequalities. We provide sharp Laplace bounds for Lipschitz functions in the case of generic mixtures, involving a transportation cost diameter of the mixed family. Additionally, our analysis of Sobolev type inequalities for two-component mixtures reveals natural relations with some kind of band isoperimetry and support constrained interpolation via mass transportation. We show that the Poincaré constant of a two-component mixture may remain bounded as the mixture proportion goes to $0$ or $1$ while the logarithmic Sobolev constant may surprisingly blow up. This counter-intuitive result is not reducible to support disconnections, and appears as a reminiscence of the variance-entropy comparison on the two-point space. As far as mixtures are concerned, the logarithmic Sobolev inequality is less stable than the Poincaré inequality and the sub-Gaussian concentration for Lipschitz functions. We illustrate our results on a gallery of concrete two-component mixtures. This work leads to many open questions.
Mots clés
- Gross logarithmic Sobolev inequalities
- Mallows or Wasserstein distance
- transportation cost distances
- mass transportation
- transportation of measure
- band isoperimetry
- Poincare inequalities
- functional inequalities
- deviation inequalities
- tails probabilities
- Gaussian bounds
- concentration of measure
- finite Gaussian mixtures
- Mixtures of distributions
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