2006.08935
Learning Dynamics Models with Stable Invariant Sets
Naoya Takeishi, Yoshinobu Kawahara
incompletemedium confidence
- Category
- Not specified
- Journal tier
- Specialist/Solid
- Processed
- Sep 28, 2025, 12:55 AM
- arXiv Links
- Abstract ↗PDF ↗
Audit review
The candidate’s Steps A–B closely match the paper’s construction and appendix proofs for invariance and Lyapunov/LaSalle-based convergence using V (5) and g (6), and the invariance enforcement (8) on the boundary is correctly leveraged (Proposition 1) . However, both the paper’s proof of Proposition 2 and the candidate’s argument implicitly require either α>0 or η>0 off S̃ to ensure strict decrease; the appendix proof asserts strict negativity without stating this design choice, which is incomplete for the α=0, η=0 case . More importantly, Corollary 1 maps back to x-space via f = φ^{-1} ∘ f̃ ∘ φ, but a correct coordinate change of vector fields requires the Jacobian pushforward (Dφ)^{-1}; mere bijectivity is insufficient. This flaw/incompleteness appears in both the paper and the candidate’s Step C .
Referee report (LaTeX)
\textbf{Recommendation:} major revisions
\textbf{Journal Tier:} specialist/solid
\textbf{Justification:}
The methods for constructing stable invariant sets in latent space are compelling and the invariance and Lyapunov arguments largely check out against the appendix proofs. However, two correctness gaps must be fixed: (i) to ensure strict decrease of V outside the target set, the design must enforce either α>0 or η>0 on S̃\^c; (ii) the corollary transporting guarantees to x-space uses an incorrect composition and omits the Jacobian pushforward required for vector fields under coordinate change. Clarifying regularity assumptions (discontinuity from the unit step) and the convexity/projection issue would further solidify the theory.