Determining Modes, State Reconstruction, and Intertwinement: Existence of Self-Synchronizing Intertwinements
Elizabeth Carlson, Aseel Farhat, Vincent R. Martinez, Collin Victor

TL;DR
This paper explores the existence of specific self-synchronizing couplings, called intertwinements, in the 2D Navier-Stokes equations, linking determining modes and data assimilation with new classes of well-posed, synchronized systems.
Contribution
It identifies two non-trivial classes of intertwinements that are globally well-posed and can self-synchronize, extending the framework to nonlinear perturbations of the Navier-Stokes system.
Findings
Existence of two classes of globally well-posed intertwinements.
Conditions for these intertwinements to self-synchronize.
Extension of the framework to nonlinear perturbations.
Abstract
In the companion paper of the authors, a general synchronization framework was developed in the paradigmatic context of the 2D Navier-Stokes equations that allows one to precisely study the relation between the determining modes property of the corresponding dynamical system and the ability of certain continuous data assimilation algorithms to reconstruct unobserved state variables from sufficiently many observed state variables in this system, i.e., the reconstruction property. In this framework, the determining modes property and the reconstruction property can be viewed in a unified way as the ability of certain couplings of the Navier-Stokes equations to self-synchronize; due to the bi-directionality of coupling, the coupled system is referred to as an "intertwinement." A central achievement of this framework is to deduce a conceptual equivalence between the determining modes…
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Taxonomy
TopicsStability and Controllability of Differential Equations · Nonlinear Dynamics and Pattern Formation · Model Reduction and Neural Networks
