2007.08394
KAM theory for some dissipative systems
Renato C. Calleja, Alessandra Celletti, Rafael de la Llave
correcthigh confidence
- Category
- Not specified
- Journal tier
- Strong Field
- Processed
- Sep 28, 2025, 12:55 AM
- arXiv Links
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Audit review
The uploaded paper states an a‑posteriori KAM theorem for conformally symplectic maps (Theorem 1), defines the moving frame M(θ) = [DK | J−1DKN], the S(θ) block, and the non-degeneracy matrix det([⟨S⟩ ⟨SB0⟩+⟨Ã1⟩; (λ−1)Id ⟨Ã2⟩]) ≠ 0, and sketches a Newton-like iteration leading to quadratic error reduction and the estimates ‖Ke−K‖ ≤ C4 C2 δ−2τ ‖E‖ and |µe−µ| ≤ C5‖E‖, exactly the architecture used by the candidate solution (automatic reducibility, splitting into tangential/normal cohomology equations, averaged compatibility system, and a quasi-Newton correction) . The paper’s proof is presented as a sketch, explicitly referring to the detailed proof in prior work, but the steps and objects match the model’s Phase‑2 solution, including the dropping of the R(θ)W(θ) term to obtain a solvable model equation and a quadratic improvement under Diophantine small-divisor estimates and a shrinking-strip iteration . The attractor interpretation for |λ|<1 is also consistent (block λ Id in the reduced cocycle; normal contraction) . Minor issues in the model’s write-up include an algebraic slip in the proof of M’s invertibility (one needs to premultiply by DK^T J, using the isotropy K*Ω=0), and the lack of an explicit mention that isotropy is used to obtain automatic reducibility; these are standard and easily corrected. Overall, both are correct and substantially the same proof strategy, with the paper giving a faithful sketch and the model giving a standard, consistent elaboration.
Referee report (LaTeX)
\textbf{Recommendation:} minor revisions
\textbf{Journal Tier:} strong field
\textbf{Justification:}
This work accurately presents the a‑posteriori KAM theorem for conformally symplectic maps and its algorithmic implications. The exposition is faithful to the standard parameterization method and connects to computational practice. Minor clarifications (use of isotropy in automatic reducibility and explicit remainder bounds) would further solidify readability for non-specialists while not affecting correctness.