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A probabilistic representation of solutions of the incompressible Navier-Stokes equations in \(\mathbb R^3\). (English) Zbl 1077.35107

Summary: A new probabilistic representation is presented for solutions of the incompressible Navier-Stokes equations in \(\mathbb R^3\) with given forcing and initial velocity. This representation expresses solutions as scaled conditional expectations of functionals of a Markov process indexed by the nodes of a binary tree. It gives existence and uniqueness of weak solutions for all time under relatively simple conditions on the forcing and initial data. These conditions involve comparison of the forcing and initial data with majorizing kernels.

MSC:

35Q30 Navier-Stokes equations
35C15 Integral representations of solutions to PDEs
60H30 Applications of stochastic analysis (to PDEs, etc.)
60J85 Applications of branching processes
60G50 Sums of independent random variables; random walks

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