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Clarifying the Effect of Mean Subtraction on Dynamic Mode Decomposition*

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00388359" target="_blank" >RIV/68407700:21230/25:00388359 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1137/23M1569940" target="_blank" >https://doi.org/10.1137/23M1569940</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1137/23M1569940" target="_blank" >10.1137/23M1569940</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Clarifying the Effect of Mean Subtraction on Dynamic Mode Decomposition*

  • Original language description

    Any autonomous nonlinear dynamical system can be viewed as a superposition of infinitely many linear processes, through the so-called Koopman mode decomposition. Its data-driven approximation, dynamic mode decomposition (DMD), has been extensively developed and deployed across a plethora of fields. In this work, we study the effect of subtracting the temporal mean on the DMD approximation for observables possessing only a finite number of Koopman modes. Preprocessing time-sequential training data by removing the temporal mean has been a point of contention in the companion matrix formulation of DMD. This stems from the potential of said preprocessing to render DMD equivalent to a temporal discrete Fourier transform (DFT). We prove that this equivalence is impossible when the training data is linearly consistent and the order of the DMD model exceeds the number of Koopman modes. Since model order and training set size are synonymous in this variant of DMD, the parity of DMD and DFT can, therefore, be indicative of inadequate training data.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

    <a href="/en/project/EH22_008%2F0004590" target="_blank" >EH22_008/0004590: Robotics and advanced industrial production</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Siam Journal on Applied Dynamical Systems

  • ISSN

    1536-0040

  • e-ISSN

  • Volume of the periodical

    24

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    27

  • Pages from-to

    2318-2344

  • UT code for WoS article

    001572373100003

  • EID of the result in the Scopus database

    2-s2.0-105017591737