On expansions for nonlinear systems, error estimates and convergence issues
Karine Beauchard, J\'er\'emy Le Borgne, Fr\'ed\'eric Marbach

TL;DR
This paper reviews classical and introduces a new mixed expansion for solving nonlinear differential equations, providing error estimates and analyzing convergence issues, with implications for control theory and numerical methods.
Contribution
It introduces a novel mixed expansion inspired by quantum mechanics, offers rigorous error estimates for nonlinear ODEs, and investigates convergence properties including counterexamples.
Findings
New error estimates involving weak Sobolev norms.
Counterexamples showing failure of Magnus expansion convergence.
Open problem posed for Sussmann's expansion convergence.
Abstract
Explicit formulas expressing the solution to non-autonomous differential equations are of great importance in many application domains such as control theory or numerical operator splitting. In particular, intrinsic formulas allowing to decouple time-dependent features from geometry-dependent features of the solution have been extensively studied. First, we give a didactic review of classical expansions for formal linear differential equations, including the celebrated Magnus expansion (associated with coordinates of the first kind) and Sussmann's infinite product expansion (associated with coordinates of the second kind). Inspired by quantum mechanics, we introduce a new mixed expansion, designed to isolate the role of a time-invariant drift from the role of a time-varying perturbation. Second, in the context of nonlinear ordinary differential equations driven by regular vector…
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Taxonomy
TopicsStability and Controllability of Differential Equations · Control and Stability of Dynamical Systems · Quantum chaos and dynamical systems
