Covariant Multi-Scale Negative Coupling on Dynamic Riemannian Manifolds: A Geometric Framework for Topological Persistence in Infinite-Dimensional Systems
Pengyue Hou

TL;DR
This paper introduces a geometric framework for covariant multi-scale negative coupling on Riemannian manifolds to prevent attractor collapse in dissipative PDEs, supported by theoretical analysis and high-resolution numerical experiments.
Contribution
It develops a novel intrinsic coupling mechanism on Riemannian manifolds that stabilizes high-dimensional attractors in dissipative systems, combining theoretical proofs with numerical validation.
Findings
Global attractors have finite Hausdorff and Kaplan-Yorke dimensions.
Numerical experiments confirm stabilization of complex attractors.
The framework effectively counteracts dissipation-induced dimensional reduction.
Abstract
Dimensional reduction is a generic consequence of dissipation in nonlinear evolution equations, often leading to attractor collapse and the loss of dynamical richness. To counteract this, we introduce a geometric framework for Covariant Multi-Scale Negative Coupling Systems (C-MNCS), formulated intrinsically on smooth Riemannian manifolds for a broad class of semilinear dissipative PDEs. The proposed coupling redistributes energy across dynamically separated spectral bands, inducing a scale-balanced feedback that prevents finite-dimensional degeneration. We establish the short-time well-posedness of the coupled state-metric evolution system in Sobolev spaces and derive a priori estimates for phase-space contraction rates. Furthermore, under a global boundedness hypothesis, we prove that the global attractor possesses a strictly finite Hausdorff and Kaplan-Yorke dimension. To bridge…
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Taxonomy
TopicsControl and Stability of Dynamical Systems · Stability and Controllability of Differential Equations · Model Reduction and Neural Networks
