Steady vortex patches on flat torus with a constant background vorticity
Takashi Sakajo, Changjun Zou
TL;DR
The paper addresses steady vortex patches for the 2D Euler equation on a doubly periodic domain (flat torus) with a constant background vorticity. It develops a contour-dynamics framework, derives a precise Green-function expansion on $\mathbb{T}^2$, and constructs both single-layered and multi-patch configurations near point-vortex equilibria by introducing a centralized center condition and an adjustable background strength. Using a nonlinear implicit-function theorem together with a bootstrap argument, the authors prove the existence of $C^\infty$-regular, convex patch boundaries and extend the construction to general $N$-patch lattices. The work provides a rigorous route to patch lattices in a compact, translationally-invariant setting and enhances understanding of near-equilibrium vortex structures in 2D turbulence. Key techniques include contour dynamics, Green-function analysis on the torus, Kirchhoff-Routh functionals, and a careful linearization/regularity bootstrap strategy.
Abstract
We construct a series of vortex patch solutions in a doubly-periodic rectangular domain (flat torus), which is accomplished by studying the contour dynamic equation for patch boundaries. We will illustrate our key idea by discussing the single-layered patches as the most fundamental configuration, and then investigate the general construction for $N$ patches near a point vortex equilibrium. Different with the case of bounded domains in $\mathbb R^2$, a constant background vorticity will arise from the compact nature of flat torus, and the $2$-dimensional translational invariance will bring troubles on determining patch locations. To overcome these two difficulties, we will add additional terms for background vorticity and introduce a centralized condition for location vector. By utilizing the regularity difference of terms in contour dynamic equations, we also obtain the $C^\infty$ regularity and convexity of boundary curves.
