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2111.08559

Trackable species dynamics in reaction network models

Daniele Cappelletti, Grzegorz A. Rempala

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

Audit review

The paper proves the L1-uniform approximation of the projected population dynamics by an ensemble of independent, Z-driven single‑molecule processes under Assumptions 3.1 and 5.1 (Theorem 5.5), with an explicit exponential-in-sqrt(V) tail bound given in Appendix A (Theorem A.4). The candidate solution reaches the same conclusion via a molecule‑wise maximal coupling argument based on labeled molecules and a Poisson‑thinning construction. The approaches are conceptually aligned but technically different: the paper works at the level of aggregated Poisson representations and derives explicit finite‑V bounds; the model works per molecule and aggregates mismatch counts. The only substantive caveat is that the model implicitly strengthens the initial condition requirement by using convergence of initial expectations (uniform integrability), whereas the paper only assumes convergence in distribution plus mild integrability and handles the initial discrepancy via probability bounds. Aside from this minor assumption gap, both arguments are sound and reach the same result.

Referee report (LaTeX)

\textbf{Recommendation:} minor revisions

\textbf{Journal Tier:} specialist/solid

\textbf{Justification:}

The manuscript introduces a rigorous, broadly applicable framework for tracking individual molecules in reaction networks and for approximating system dynamics via independent single-molecule trajectories. The results are technically sound, extend earlier survival-function ideas to richer network classes, and include explicit, interpretable error bounds. The work will interest researchers needing scalable simulation and inference methods at the single-molecule level. Minor clarifications on assumptions and notation would further improve readability.