Uniqueness of steady Navier-Stokes under large data by continuous data assimilation

Abstract

We propose a continuous data assimilation (CDA) method to address the uniqueness problem for steady Navier-Stokes equations (NSE). The CDA method incorporates spatial observations into the NSE, and we prove that with sufficient observations, the CDA-NSE system is well-posed even for large data where multiple solutions may exist. This CDA idea is in general helpful to determine solution for non-uniqueness partial differential equations (PDEs).