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2206.08411

Coupled stochastic systems of Skorokhod type: well-posedness of a mathematical model and its applications

Thi Kim Thoa Thieu, Adrian Muntean, Roderick Melnik

wrongmedium confidence
Category
math.DS
Journal tier
Specialist/Solid
Processed
Sep 28, 2025, 12:56 AM

Audit review

The paper claims existence, strong uniqueness, and parameter dependence for a reflected SDE with a finite-activity Poisson jump term under assumptions (A1)–(A6) (Theorems 3.1–3.3) . However, its solution concept explicitly requires X and the regulator Φ to be continuous processes (Definition 2.2) , while the equation includes a pure-jump term ∫ρ(X(s),y)ν(dy,ds) that is exactly a compound Poisson integral (hence cadlag with jumps) . The existence proof incorrectly invokes a Skorokhod map formulated on continuous paths to treat drivers with jumps and, in the key Lemma 3.5, drops the Poisson term in the limiting equation altogether (compare (3.37)–(3.38) with (3.39)–(3.40)) . The uniqueness proof similarly ignores the jump contribution and mis-specifies notation, providing no control of the Poisson part . By contrast, the model solution correctly treats the process as cadlag, uses Skorokhod maps for cadlag inputs, controls the Poisson part via BDG and Itô’s formula for jump semimartingales, obtains pathwise uniqueness by a boundary barrier estimate, and then invokes Yamada–Watanabe for semimartingale-driven equations, yielding strong existence and uniqueness under the stated assumptions.

Referee report (LaTeX)

\textbf{Recommendation:} reject

\textbf{Journal Tier:} specialist/solid

\textbf{Justification:}

The manuscript tackles a relevant problem, but the analysis is internally inconsistent. The solution concept imposes continuity while the model includes a compound Poisson driver that creates jumps; the existence proof applies a continuous-path Skorokhod map to jump inputs and then drops the jump term in the limit; the uniqueness proof omits the necessary stochastic estimates for the Poisson and Brownian parts. Substantial revision to a cadlag framework with appropriate tools is required before the results can be considered correct.