Existence of Spectral Submanifolds in Time Delay Systems

Abstract Spectral submanifolds (SSMs) are invariant manifolds of a dynamical system, defined by the property of being tangent to a spectral subspace of the linearized dynamics at a steady state. We show existence, along with certain desirable properties such as smoothness, attractivity and conditional uniqueness, of SSMs associated to a large class of spectral subspaces in time delay systems. Building on these results, we generalize the criteria for existence of inertial manifolds – defined as globally exponentially attracting Lipschitz invariant manifolds of finite dimension – and show that they need not have dimension equal to that of the physical configuration, in contrast to previous accounts. We then demonstrate the applicability of these results on a few simple examples.

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Publication Details

Journal
Journal of Nonlinear Science
Published
2026-09-28
DOI
https://doi.org/10.1007/s00332-026-10327-y
Primary Topic
Stability and Controllability of Differential Equations
Type
article
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article

Existence of Spectral Submanifolds in Time Delay Systems

Gergely Buza, George Haller
Journal of Nonlinear Science
Stability and Controllability of Differential Equations
article

Existence of Spectral Submanifolds in Time Delay Systems

Gergely Buza, George Haller
article en

Abstract

Abstract Spectral submanifolds (SSMs) are invariant manifolds of a dynamical system, defined by the property of being tangent to a spectral subspace of the linearized dynamics at a steady state. We show existence, along with certain desirable properties such as smoothness, attractivity and conditional uniqueness, of SSMs associated to a large class of spectral subspaces in time delay systems. Building on these results, we generalize the criteria for existence of inertial manifolds – defined as globally exponentially attracting Lipschitz invariant manifolds of finite dimension – and show that they need not have dimension equal to that of the physical configuration, in contrast to previous accounts. We then demonstrate the applicability of these results on a few simple examples.

Journal of Nonlinear ScienceVol. 36(5)
ETH Zurich (CH), Institute of Mechanical Systems (CH)
Openalex Percentile: Top 98%
Stability and Controllability of Differential Equations
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