Slow Manifolds for PDE with Fast Reactions and Small Cross Diffusion
Laurent Desvillettes, Christian Kuehn, Jan-Eric Sulzbach, Bao Quoc Tang, Bao-Ngoc Tran
TL;DR
The paper develops a rigorous slow-manifold theory for fast-slow PDEs with small cross diffusion by extending Fenichel-type ideas to infinite dimensions. It combines geometric and analytic methods, proving the existence of attracting slow manifolds $S_\varepsilon$ that converge to a critical manifold $S_0$ under a spectral-gap framework and small cross-diffusion, with strong convergence in $L^\infty(0,T;H^2)$ shown in 1D. The Lyapunov-Perron approach yields explicit slow-manifold graphs, differentiability, and exponential attraction of trajectories, and the slow flow is shown to approximate the reduced slow dynamics. In the linear case, explicit expressions and Galerkin-based approximations for slow manifolds are derived via Fourier modes, illustrating the geometry and enabling practical approximations. Together, these results provide a rigorous reduction framework for fast-reaction PDEs with cross diffusion and clarify the roles of initial layers and cross-diffusion in the slow dynamics.
Abstract
Multiple time scales problems are investigated by combining geometrical and analytical approaches. More precisely, for fast-slow reaction-diffusion systems, we first prove the existence of slow manifolds for the abstract problem under the assumption that cross diffusion is small. This is done by extending the Fenichel theory to an infinite dimensional setting, where a main idea is to introduce a suitable space splitting corresponding to a small parameter, which controls additional fast contributions of the slow variable. These results require a strong convergence in $L^\infty(0,T;H^2(Ω))$, which is the subtle analytical issue in fast reaction problems in comparison to previous works. By considering a nonlinear fast reversible reaction in one dimension, we successfully prove this convergence and therefore obtain the slow manifold for a PDE with fast reactions. Moreover, the obtained convergence also shows the influence of the cross diffusion term and illuminates the role of the initial layer. Explicit approximations of the slow manifold are also carried out in the case of linear systems.
