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2409.10105

Participation Factors for Nonlinear Autonomous Dynamical Systems in the Koopman Operator Framework

Kenji Takamichi, Yoshihiko Susuki, Marcos Netto

correcthigh confidence
Category
Not specified
Journal tier
Specialist/Solid
Processed
Sep 28, 2025, 12:56 AM

Audit review

The candidate’s derivation mirrors the paper’s Appendix B/C proofs: start from the KMD expansion of the state observable f(x)=x (equilibrium: (17); limit cycle: (54)), take first-order variations with respect to the initial condition using smooth Koopman eigenfunctions, and identify coefficients as participation factors and generalized participations from Definitions 7–8 to obtain the displayed formulas for dx_k(t) and dz_j(t) ((26)–(27) for a stable equilibrium, and their LC analogues (55)–(56)). The paper executes this via the derivative of the solution map and the t=0 KMD identity for dx_k(0) ((49)–(53)), while the candidate subtracts two KMD series and Taylor-expands the eigenfunctions; both routes drop O(∥δx∥^2) terms and rely on the same convergence/smoothness assumptions. Hence, both are correct and essentially the same proof strategy, with slightly different bookkeeping of derivatives versus differences. See Theorem 1 and its proof (26)–(27) with (49)–(53) and Lemma 3 (17) for the EP case, and Theorem 2 with Lemma 4 (index set I) for the LC case (55)–(56) .

Referee report (LaTeX)

\textbf{Recommendation:} minor revisions

\textbf{Journal Tier:} specialist/solid

\textbf{Justification:}

The paper develops a rigorous, Koopman-based framework for state-dependent participation factors and generalized participations that unifies linear and nonlinear modal analyses, including stable equilibria and limit cycles. The derivations are correct to first order under standard convergent-KMD and smooth-KEF hypotheses, and the connection to data-driven estimation via DMD is useful. Minor clarifications of assumptions, notation, and remainder terms would improve readability but do not affect correctness.