Poincare and Log-Sobolev Inequalities for Mixtures

This work studies mixtures of probability measures on Rn and gives bounds on the Poincare and the log-Sobolev constants of two-component mixtures provided that each component satisfies the functional inequality, and both components are close in the 2-distance. The estimation of those constants for a mixture can be far more subtle than it is for its parts. Even mixing Gaussian measures may produce a measure with a Hamiltonian potential possessing multiple wells leading to metastability and large constants in Sobolev type inequalities. In particular, the Poincare constant stays bounded in the mixture parameter, whereas the log-Sobolev may blow up as the mixture ratio goes to 0 or 1. This observation generalizes the one by Chafai and Malrieu to the multidimensional case. The behavior is shown for a class of examples to be not only a mere artifact of the method.