Refined Limiting Profiles of the Principal Eigenvalue Problems with Large Advection
Yujin Guo, Yuan Lou, Hongfei Zhang

TL;DR
This paper investigates how large advection influences the principal eigenvalue and eigenfunction profiles in a bounded domain, providing refined asymptotic descriptions as the advection coefficient grows infinitely large.
Contribution
It offers a detailed analysis of the limiting behavior of the principal eigenpair under large advection, extending understanding of eigenvalue problems with strong advection effects.
Findings
Refined asymptotic profiles of eigenvalues and eigenfunctions as advection becomes large.
Demonstrates the dominant effect of advection on eigenpair behavior.
Potential applicability to broader principal eigenvalue problems.
Abstract
In this paper, we are concerned with the following eigenvalue problem with an advection term: \begin{equation}\label{0.1} \left\{ \begin{split} -\epsilon\Delta \phi-2\alpha\nabla m(x)\cdot\nabla \phi+V(x)\phi&=\lambda \phi\ \ \text{in}\ \ \Omega,\\ \phi&=0\ \ \hbox{on}\ \ \partial\Omega, ~~~\text{(0.1)} \end{split} \right. \end{equation} where satisfying is a bounded domain and contains the origin as an interior point, the constants and are the diffusive and advection coefficients, respectively, and , are given functions. We analyze the refined limiting profiles of the principal eigenpair for (0.1) as , which display the visible effect of the large advection on . It…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNonlinear Partial Differential Equations · Advanced Mathematical Modeling in Engineering · Navier-Stokes equation solutions
