Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 7 min ago
PreprintCC BY 4.0arXiv

Partial Observation of Linear Systems with the Mori-Zwanzig Formalism

Abstract

The Mori-Zwanzig formalism provides a systematic framework for deriving reduced-order model of dynamical systems when only part of the state is observed, but its practical use is often limited by the complexity of the resulting computations. This paper develops an explicit formulation of the Mori-Zwanzig equation for linear time-invariant systems under partially observed observables. By expressing the dynamics in terms of observables, the Koopman generator, and projections onto resolved and unresolved components, we derive closed-form representations of the Markovian, noise, and memory contributions that arise in the Mori-Zwanzig identity. For the linear setting, the resulting formulas recover the reduced dynamics obtained from the variation-of-constants formula while retaining the operator-based structure of the Mori-Zwanzig approach. This makes the derivation a transparent reference case for reduced-order modelling with memory and clarifies how unresolved variables influence the observed dynamics through history-dependent terms. The analysis also identifies the ingredients needed for extensions to nonlinear systems and more general projections, including spectral filtering and data-driven approximations of memory effects. Analytical and numerical examples involving the harmonic oscillator and wave equations illustrate the construction and demonstrate how the formalism can be used to obtain interpretable reduced-order models for partially observed systems.

Versions

Related

  1. Physics-informed traditional and generative Mori-Zwanzig-reduced models for multiscale systems
    Emily Williams, Saad Qadeer, Amanda Howard +1
    arXivPreprintCC BY 4.0Full textNumerical analysis & scientific computingarXiv
  2. Koopman-von Neumann formalism meets contact Hamiltonian systems
    Federico Zadra
    arXivPreprintarXiv licenceFull textDynamical systemsMathematical physicsarXiv
  3. Thermodynamic formalism for non-compact systems with expansivity and specification
    Vaughn Climenhaga, Daniel J. Thompson, Tianyu Wang
    arXivPreprintarXiv licenceFull textDynamical systemsarXiv
  4. Identification and Recovery of Linear Dynamics from Partial Trajectories
    Le Gong
    arXivPreprintarXiv licenceFull textGeneral mathematicsarXiv
  5. Convergence Analysis of Variable-Separation-Based Model Reduction for Linear Parametric Partial Differential Equations
    Liang Chen, Qiuqi Li, Yusong Ye +1
    arXivPreprintarXiv licenceFull textNumerical analysis & scientific computingarXiv
BibTeX
@misc{wang2026partial,
  title = {{Partial Observation of Linear Systems with the Mori-Zwanzig Formalism}},
  author = {Fan Wang and Peter Benner and Jan Heiland},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2606.23341},
  eprint = {2606.23341},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2606.23341},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Partial Observation of Linear Systems with the Mori-Zwanzig Formalism
AU  - Fan Wang
AU  - Peter Benner
AU  - Jan Heiland
PY  - 2026
DA  - 2026/10/31
PB  - arXiv
DO  - 10.48550/arxiv.2606.23341
UR  - https://arxiv.org/abs/2606.23341
AB  - The Mori-Zwanzig formalism provides a systematic framework for deriving reduced-order model of dynamical systems when only part of the state is observed, but its practical use is often limited by the complexity of the resulting computations. This paper develops an explicit formulation of the Mori-Zwanzig equation for linear time-invariant systems under partially observed observables. By expressing the dynamics in terms of observables, the Koopman generator, and projections onto resolved and unresolved components, we derive closed-form representations of the Markovian, noise, and memory contributions that arise in the Mori-Zwanzig identity. For the linear setting, the resulting formulas recover the reduced dynamics obtained from the variation-of-constants formula while retaining the operator-based structure of the Mori-Zwanzig approach. This makes the derivation a transparent reference case for reduced-order modelling with memory and clarifies how unresolved variables influence the observed dynamics through history-dependent terms. The analysis also identifies the ingredients needed for extensions to nonlinear systems and more general projections, including spectral filtering and data-driven approximations of memory effects. Analytical and numerical examples involving the harmonic oscillator and wave equations illustrate the construction and demonstrate how the formalism can be used to obtain interpretable reduced-order models for partially observed systems.
ER  -