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2112.06268

IDENTIFICATION OF A REVERSIBLE CATENARY SYSTEM BY THE MEASURE OF ONE COMPARTMENT

B. FADIS, B. HEBRI, S. KHELIFA

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

Audit review

The paper asserts that a reversible catenary compartmental system is identifiable from measuring only the primary compartment and sketches an algorithm based on decomposing x1(t) into a sum of exponentials, introducing Δ-moments, and then recursively recovering parameters (Theorem 3.4) . However, two issues undermine completeness: (i) a key formula used to compute k1e from x1(t) is misstated in the text (the paper writes k1e = −a ∑ β1_i/λ_i instead of the dimensionally consistent k1e = −a / ∑ (β1_i/λ_i)), and this misstatement is then used in the algorithm to compute k12 and hence k21 ; (ii) the step “determine β1_i and λ_i by minimizing J” is invoked as if it established structural identifiability, but no uniqueness argument is provided for that inverse problem (beyond asserting recoverability of eigenvalues and β1 from a single output) . By contrast, the candidate solution gives a complete, constructive identifiability proof via the (1,1) resolvent, a finite J-fraction decomposition, and a backward recursion that uniquely recovers all rates under the stated reversible catenary assumptions. The result established by the model matches the paper’s main claim, but with a cleaner, fully self-contained argument.

Referee report (LaTeX)

\textbf{Recommendation:} major revisions

\textbf{Journal Tier:} specialist/solid

\textbf{Justification:}

The manuscript targets a practically important identifiability question for chain (catenary) compartmental systems and claims an optimal one-output identifiability result. The overall direction is promising and the \$\Delta\$-moment machinery is tidy; however, the proof as written has a critical initialization error for k1e and does not supply a structural uniqueness argument for recovering the exponential parameters from one output. Correcting these issues and, ideally, adding a transfer-function-based derivation would substantially strengthen the paper.