paper

Exponent bounds for a convolution inequality in Euclidean space with applications to the Navier-Stokes equations

arXiv:1201.6433

Abstract

The convolution inequality defined on $\Rn$ arises from a probabilistic representation of solutions of the -dimensional Navier-Stokes equations, . Using a chaining argument, we establish the nonexistence of strictly positive fully supported solutions of this inequality if , in all dimensions . We use this result to describe a chain of continuous embeddings from spaces associated with probabilistic solutions to the spaces and associated with the Koch-Tataru solutions of the Navier-Stokes equations.

arXiv comment18 pages, 1 Figure, to appear in Proceedings of the AMS