The gradient estimate for the critical vector-field exponent

Let (σk)kZ02(\sigma_k)_{k\in\mathbb{Z}^2_0} be the family of vector fields on T2\mathbb{T}^2 defined, for γ2\gamma\geq 2, by

σk(x)=e2πikxkkγ,xT2,kZ02:=Z2{0}.\sigma_k(x)={\rm e}^{2\pi {\rm i} k\cdot x}\frac{k^\perp}{|k|^\gamma},\qquad x\in\mathbb{T}^2,\quad k\in\mathbb{Z}^2_0:=\mathbb{Z}^2\setminus\{0\}.

Assume that the associated gradient estimate is the estimate referred to as. The gradient-estimate conjecture. The gradient estimate holds when γ=2\gamma=2 in.

This is the critical case needed to prove the stated L2L^2 convergence of the drift series and hence is relevant to uniqueness for the two-dimensional stochastic Euler equation. The source presents the assertion as a natural problem; no resolution is supplied in the given text.

Sources & referencesView supporting material

Primary source

Franco Flandoli and Dejun Luo, “ρ-white noise solution to 2D stochastic Euler equations”, arXiv:1710.04017 (2017).

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