2103.16697
Germ-typicality of the coexistence of infinitely many sinks
Pierre Berger, Sylvain Crovisier, Enrique Pujals
correctmedium confidence
- Category
- Not specified
- Journal tier
- Strong Field
- Processed
- Sep 28, 2025, 12:56 AM
- arXiv Links
- Abstract ↗PDF ↗
Audit review
The paper proves Theorem A: near any dissipative bicycle, the Newhouse phenomenon is Cr-germ-typical, precisely as stated in the introduction and Main Theorem A . Its strategy stabilizes a heterocycle into a strong heterocycle and then uses a new renormalization to create (para)blenders and robust paratangencies, culminating in Theorem 2.14 which yields infinitely many sinks for every parameter in a small interval for a Baire-generic set of families . The candidate solution argues via a more classical route (Palis–Takens renormalization to Hénon-like maps and Newhouse thickness/GAP-lemma), but its high-level steps align with the paper’s core ingredients: from a dissipative bicycle, produce a parablender near the source and obtain familywise r-flat paratangencies leading to infinitely many sinks uniformly for |a| < δ . Minor omissions in the model outline (e.g., the need to create an alternate chain of heterocycles and a negative stable eigenvalue before obtaining a paraheterocycle) are supplied explicitly in the paper (Corollary 2.12, Theorem C) . Hence both are correct, but the proofs are methodologically different: the paper’s “nearly affine (para)blender” renormalization contrasts with the model’s Palis–Takens/Hénon-like thickness route.
Referee report (LaTeX)
\textbf{Recommendation:} minor revisions
\textbf{Journal Tier:} strong field
\textbf{Justification:}
The manuscript achieves a robust and conceptually clean result on germ-typicality near dissipative bicycles, introducing a useful parametric renormalization scheme to generate (para)blenders. The structure is modular and grounded in established mechanisms while adding new tools. Some technical transitions could be signposted more explicitly, and a short comparison to classical thickness-based approaches would help situate the contribution.