Search arXiv⌕ Search

arXiv · math/0503354

Three-Dimensional Stability of Burgers Vortices: the Low Reynolds Number Case

Abstract

In this paper we establish rigorously that the family of Burgers vortices of the three-dimensional Navier-Stokes equation is stable for small Reynolds numbers. More precisely, we prove that any solution whose initial condition is a small perturbation of a Burgers vortex will converge toward another Burgers vortex as time goes to infinity, and we give an explicit formula for computing the change in the circulation number (which characterizes the limiting vortex completely.) We also give a rigorous proof of the existence and stability of non-axisymmetric Burgers vortices provided the Reynolds number is sufficiently small, depending on the asymmetry parameter.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Th. Gallay, C. E. Wayne. 2005-03-17. Three-Dimensional Stability of Burgers Vortices: the Low Reynolds Number Case. https://doi.org/10.1016/j.physd.2005.11.006

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Existence and multiplicity of $L^2$-Normalized solutions for the periodic Schrödinger system of Hamiltonian type

In this paper, we study the following nonlinear Schrödinger system of Hamiltonian type \begin{equation*} \left\{\begin{array}{l} -Δu+V(x)u=\partial_v H(x,u,v)+ωv,\ x \in \mathbb{R}^N, \\ -Δv+V(x)v=\partial_u H(x,u,v)+ωu,\ x \in \mathbb{R}^N, \\ \displaystyle\int_{\R^N}|z|^2dx=a^2, \end{array}\right. \end{equation*} where the potential function $V(x)$ is periodic, $z:=(u,v):\R^N\rightarrow \R\times\R$, $ω\in \R$ appears as a Lagrange multiplier, $a>0$ is a prescribed constant. The existence and multiplicity of $L^2$-normalized solutions for the above Schrödinger system are obtained. The proof combines a constrained variational reduction, compactness estimates, and a Ljusternik--Schnirelmann type multiplicity theorem. In addition, a bifurcation result is also given.

math.AP↗

Propagation of chaos for the Landau equation via microcanonical binary collisions

We develop a fully constructive, conservative, and collision-level realization of Kac's program for the spatially homogeneous Landau equation across the full interaction range, including the Coulomb case. Our model is the microcanonical binary-collision (MBC) process: a reversible pure-jump $N$-particle Markov process, realizing the grazing-collision mechanism via small conservative rotations of relative velocities. Under suitable assumptions on the initial data, we prove propagation of chaos in the joint mean-field and grazing-collision limit ($N\to\infty, h\to0$), identifying any limit point with the unique solution in the relevant weak-solution class. The empirical measures converge in quadratic Wasserstein distance, while fixed-order marginals converge strongly in $L^1$ at every fixed time. Furthermore, we rigorously derive the Landau master equation as the fixed-$N$ grazing-collision limit of the MBC process. The proof combines Fisher-information dissipation, compactness, and uniqueness; for $γ\in[-3,-2)$, second-order information along collision directions yields the time-integrable $L^\infty$ bound needed for uniqueness.

math.AP↗

A Generalized Framework for Singular Fractional Burgers Equations with Stochastic Forcing

In this paper, we investigate the regularization effect of fractional stochastic forcing on Burgers-type equations with fractional dissipation, with an application to the Degasperis--Procesi (DP) equation. In particular, we consider the perturbation induced by the singular noise $|D|^{1/2}ξ$ and establish local well-posedness in the negative Sobolev space $H^{-1/4+δ}$ for some small $δ>0$. Due to the singular nature of the nonlinear interactions, classical solution theories cannot be directly applied. Inspired by the framework developed in \cite{hairer2013solving,gubinelli2017kpz}, we introduce a generalized solution theory based on an enhanced structure and derive the effective equations satisfied by these generalized solutions. Our main contribution is the establishment of a general framework for describing singular PDEs driven by rough data. Moreover, we prove the convergence of the associated non-Gaussian rough structures in the fractional dissipation setting. As an application, we apply this framework to the stochastic Degasperis--Procesi equation and obtain its local well-posedness in the low-regularity regime.

math.AP↗