2411.09721
Modelling Population-Level Hes1 Dynamics: Insights from a Multi-Framework Approach
Gesina Menz, Stefan Engblom
correctmedium confidence
- Category
- Not specified
- Journal tier
- Specialist/Solid
- Processed
- Sep 28, 2025, 12:56 AM
- arXiv Links
- Abstract ↗PDF ↗
Audit review
Across A–C and E the candidate solution matches the paper’s statements and arguments (unique homogeneous fixed point; two‑cell instability criterion (3.2); existence and stability of two non‑homogeneous equilibria via the γ-map; 2D hexagonal lattice instability (3.19)) as given in Propositions 3.1–3.4 and 3.8, with the same criteria and proof structure . For the full model (Part D), the candidate reproduces the instability threshold (3.15) and its equivalence to (3.2) (paper’s Proposition 3.6) , but then asserts that “all remaining eigenvalues equal −μi” to conclude stability of the patterned state. This spectral claim contradicts the paper’s characteristic polynomial structure for the full Jacobian, where factors (λ+μi) appear multiplicatively in a product minus a nonzero constant term, so λ=−μi are not eigenvalues in general; the paper instead proves stability by sign arguments on the full characteristic polynomial and a reduction lemma (Lemma 3.5; Proposition 3.7) . Hence the model’s proof of stability in D is flawed, though the conclusion matches the paper.
Referee report (LaTeX)
\textbf{Recommendation:} minor revisions \textbf{Journal Tier:} specialist/solid \textbf{Justification:} The paper advances a clear, analytically tractable treatment of Hes1–Notch patterning, connecting a full ODE network to reduced models and to spatial extensions. The main criteria (3.2), (3.15), (3.19) are derived carefully and consistently across reductions, with stability of non‑homogeneous states established via appropriate Jacobian and characteristic‑polynomial arguments. Some typesetting and cross‑referencing improvements would further improve readability.