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2403.04625

Solitary waves in a stochastic parametrically forced nonlinear Schrödinger equation

Manuel V. Gnann, Rik W.S. Westdorp, Joris van Winden

correctmedium confidence
Category
Not specified
Journal tier
Strong Field
Processed
Sep 28, 2025, 12:56 AM

Audit review

The paper proves high-probability orbital stability for the SPFNLS (3.3) by a second-order modulation expansion u = u* + σv1 + σ2v2 + O(σ3), a decomposition v1 = a1 u*_x + w1 and v2 = a2 u*_x + (1/2) a1^2 u*_{xx} + w2 that enforces Π0 w_k = 0, and Strichartz-based bounds yielding Gaussian tails for the relevant stochastic convolutions. This yields single-interval stability with tracked phase (Proposition 3.7) and chaining to long times (Corollary 3.8), with probability bounds of the form C T e^{-k σ^{-2} ε^2}, and explicit formulas for a1, a2, w1, w2 (Theorem 3.6) . By contrast, the candidate solution reproduces the high-level structure (phase tracking by a1; single-block bound; chaining via a union bound) but makes a crucial analytic misstep: it estimates the cubic/quadratic remainder N(v) in L2 solely by powers of ||v||_{L2}, which is not valid for the NLS-type nonlinearity without Strichartz/H^1 control. The paper explicitly avoids this by working in Strichartz spaces and using stochastic Strichartz/Seidler-type estimates to get Gaussian tails . Additional issues in the model write-up include an unsubstantiated claim ΠN(v) = N(v) and an only heuristically justified R_neut bound, whereas the paper controls the corresponding curvature and neutral-mode terms precisely via the second-order phase a2 and the Taylor term (1/2) σ^2 a1^2 u*_{xx} in w2 . Net: the paper’s result and proof are sound; the model’s proof outline is incomplete at key analytic steps.

Referee report (LaTeX)

\textbf{Recommendation:} no revision

\textbf{Journal Tier:} strong field

\textbf{Justification:}

The paper delivers a rigorous and well-structured proof of high-probability orbital stability for a solitary wave in a stochastic dispersive PDE with multiplicative translation-invariant noise. It combines a clean second-order modulation analysis with stochastic Strichartz estimates and moment-to-tail bounds to obtain Gaussian tails and long-time stability. The work is technically solid, clearly written, and contributes a significant advancement in the stochastic stability of coherent structures beyond parabolic settings.