Back to search
2207.13615

PERIOD TWO SOLUTION FOR A CLASS OF DISTRIBUTED DELAY DIFFERENTIAL EQUATIONS

Yukihiko Nakata

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

Audit review

The paper’s Theorem 5 states that, under (H): f odd and xf(x)>0 with f Lipschitz, a DDE SSPS (period 2, x(t−1) = −x(t)) corresponds to a period‑2 closed orbit of the Hamiltonian ODE x′ = −y, y′ = 2f(x), and conversely. The forward direction defines y(t)=∫_0^1 f(x(t−s))ds, computes y′(t)=f(x(t))−f(x(t−1)) and uses x(t−1)=−x(t) with f odd to get y′=2f(x), hence a period‑2 ODE orbit; this matches the model’s step (a) exactly (paper: Theorem 5 and its proof; see the definition of SSPS and (1.4)–(1.5) ). For the converse, the paper argues, via the Hamiltonian symmetry, that (x(t+1),y(t+1))=(−x(t),−y(t)) on a minimal period‑2 closed orbit, from which x(t−1)=−x(t) and y(t)=∫_{t−1}^t f(x(s))ds after fixing the integration constant by an odd‑about‑1/2 symmetry argument (Appendix A supports these symmetries) . The model’s step (b) is the same in substance: it uses the second‑order reduction x″=−2f(x), turning points with y=0 one unit apart, the uniqueness argument w(t)=−x(t+1)≡x(t), and then shows the integration constant vanishes by evaluating at a turning point, yielding the same identity y(t)=∫_0^1 f(x(t−s))ds. Both proofs rely on Lipschitz continuity for uniqueness and on oddness of f; the model also explicitly notes how xf(x)>0 yields turning points, consistent with the paper’s Hamiltonian picture. No substantive logical gaps were found; the paper’s symmetry step is concise but supported by Appendix A, while the model elaborates that step. Hence both are correct with substantially the same proof structure.

Referee report (LaTeX)

\textbf{Recommendation:} minor revisions

\textbf{Journal Tier:} specialist/solid

\textbf{Justification:}

The equivalence between SSPS of the distributed DDE and period-2 closed orbits of the associated Hamiltonian ODE is established cleanly and in line with classical symmetry methods. A few concise steps in the converse direction rely on symmetry/uniqueness and could be stated a bit more explicitly for clarity, but the argument is sound. The examples (sinusoidal and logistic-type nonlinearities) illustrate the theory well.