Forward self-similar solutions to the 2D Navier--Stokes equations
Dallas Albritton, Julien Guillod, Mikhail Korobkov, Xiao Ren
TL;DR
The paper proves the existence of forward self-similar solutions to the 2D Navier–Stokes equations for -1-homogeneous initial data, showing the profile $U$ exists, is smooth, and decays as $|U(y)-(e^{\Delta}u_0)(y)|\lesssim \langle y\rangle^{-1-\alpha}$ for any $\alpha\in(0,1)$. The construction uses a Leray-Schauder fixed-point argument in a weighted function space, with a decomposition $U=a+V$ where $a=e^{\Delta}u_0$, and a carefully derived a priori control via a self-similar Bernoulli-type pressure $\Phi$. The work highlights significant 2D-specific challenges due to infinite energy of -1-homogeneous data, addresses them through weighted elliptic estimates and parabolic bootstrapping, and provides numerical evidence of non-uniqueness through a pitchfork bifurcation in the self-similar regime. This advances understanding of non-uniqueness mechanisms in the Navier–Stokes equations within the infinite-energy, self-similar framework and connects rigorous analysis with computational bifurcation evidence."
Abstract
We construct self-similar solutions to the 2D Navier--Stokes equations evolving from arbitrarily large $-1$--homogeneous initial data and present numerical evidence for their non-uniqueness.
