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Painlevé Universality classes for the maximal amplitude solution of the Focusing Nonlinear Schrödinger Equation with randomness

Aikaterini Gkogkou, Guido Mazzuca, Kenneth D. T-R McLaughlin

TL;DR

This work establishes universal rogue-wave formation in the focusing nonlinear Schrödinger equation under random discrete spectra. By uniting the Darboux dressing method with Riemann–Hilbert analysis, the authors prove that maximal-amplitude N-soliton solutions, with eigenvalues drawn from sub-exponential distributions, converge (under appropriate rescalings) to deterministic profiles governed by the Painlevé-III equation in the III rogue-wave class or by Painlevé-V in the V class. The two universality classes are distinguished by spectral structure: λ_j = v_j + i μ_j yields Painlevé-III, while λ_j = −ζ j + v_j + i μ_j with 0<ζ<1 yields Painlevé-V, with μ_j and v_j sub-exponential. The convergence holds in probability (and in expectation for compact (X,T)) as N→∞, signaling robustness of Painlevé-type rogue waves to randomness and providing explicit links between integrable systems, random spectra, and Painlevé transcendents. Technically, the paper develops deterministic model RHP reductions, small-norm arguments, and probabilistic estimates to transfer model results to the random setting, enriching the understanding of universal structures in nonlinear wave dynamics.

Abstract

We establish universality for extremal solutions of the focusing nonlinear Schrödinger equation. Extremal solutions are $N$-soliton solutions that achieve the theoretical maximal amplitude and diverge as $N \to \infty$. We consider extremal solutions with the discrete eigenvalues randomly drawn from sub-exponential distributions, and identify two distinct universality classes, determined by the macroscopic structure of the spectrum: the Painlevé--III rogue-wave solution, where the eigenvalues take the form $λ_j = v_j + i μ_j$, and the Painlevé--V rogue wave solution, where $λ_j = -ζ\, j + v_j + i μ_j$, with $0 < ζ< 1$. (In both cases, $μ_{j}$ and $v_{j}$ are subexponential random variables.) Universality can then be summarized as follows: independently of the specific distribution of the eigenvalues, the rescaled solutions converge locally to a deterministic profile governed by the Painlevé-III equation in the first regime, and the Painlevé-V equation in the second. These results demonstrate that the formation of Painlevé-type rogue waves is a universal phenomenon robust to randomness.

Painlevé Universality classes for the maximal amplitude solution of the Focusing Nonlinear Schrödinger Equation with randomness

TL;DR

This work establishes universal rogue-wave formation in the focusing nonlinear Schrödinger equation under random discrete spectra. By uniting the Darboux dressing method with Riemann–Hilbert analysis, the authors prove that maximal-amplitude N-soliton solutions, with eigenvalues drawn from sub-exponential distributions, converge (under appropriate rescalings) to deterministic profiles governed by the Painlevé-III equation in the III rogue-wave class or by Painlevé-V in the V class. The two universality classes are distinguished by spectral structure: λ_j = v_j + i μ_j yields Painlevé-III, while λ_j = −ζ j + v_j + i μ_j with 0<ζ<1 yields Painlevé-V, with μ_j and v_j sub-exponential. The convergence holds in probability (and in expectation for compact (X,T)) as N→∞, signaling robustness of Painlevé-type rogue waves to randomness and providing explicit links between integrable systems, random spectra, and Painlevé transcendents. Technically, the paper develops deterministic model RHP reductions, small-norm arguments, and probabilistic estimates to transfer model results to the random setting, enriching the understanding of universal structures in nonlinear wave dynamics.

Abstract

We establish universality for extremal solutions of the focusing nonlinear Schrödinger equation. Extremal solutions are -soliton solutions that achieve the theoretical maximal amplitude and diverge as . We consider extremal solutions with the discrete eigenvalues randomly drawn from sub-exponential distributions, and identify two distinct universality classes, determined by the macroscopic structure of the spectrum: the Painlevé--III rogue-wave solution, where the eigenvalues take the form , and the Painlevé--V rogue wave solution, where , with . (In both cases, and are subexponential random variables.) Universality can then be summarized as follows: independently of the specific distribution of the eigenvalues, the rescaled solutions converge locally to a deterministic profile governed by the Painlevé-III equation in the first regime, and the Painlevé-V equation in the second. These results demonstrate that the formation of Painlevé-type rogue waves is a universal phenomenon robust to randomness.
Paper Structure (23 sections, 23 theorems, 204 equations, 3 figures)

This paper contains 23 sections, 23 theorems, 204 equations, 3 figures.

Key Result

Lemma 2.1

Suppose $\{\lambda_{n},\}_{n=1}^{N}$ is an arbitrary collection of eigenvalues in $\mathbb{C}_{+}$, and that the normalization constants are given by eq:normconst. Then the associated $N$-soliton solution is extremal, and satisfies

Figures (3)

  • Figure 1: Top Panels. Painlevé III and V rogue waves vs random maximal soliton solution ($50-100-200$ solitons). The poles are chosen as $\lambda_j = v_j + i\mu_j$ and $\lambda_j = -0.3j+v_j + i\mu_j$, where $v_j$ are i.i.d. Gaussian random variables ${\mathcal{N}}(0,15)$ and $\mu_j$ are i.i.d. Chi-squared distribution of parameter $4$ ($\chi^2(4)$) in the left panel, and of parameter $2$ in the right one ($\chi^2(2)$). We averaged over $10$ realizations. Bottom Panels. Semi-log plot of $\| \Psi_{III}(X,0)-\Psi_{N,III}(X,0) \|_2$, and $\| \Psi_{V}(X,0)-\Psi_{N,V}(X,0) \|_2$ for $N=50,\,100,\,200$, same initial data as before.
  • Figure 2: Contours $\Sigma$, $\Sigma^{-}$ and domain $\mathfrak{D}$
  • Figure 3: Closed curves $\gamma$, $\gamma_h$ and $\gamma_v$

Theorems & Definitions (57)

  • Definition 2.1: See Vershynin2018 Proposition 2.6
  • Lemma 2.1
  • Theorem 2.2
  • Remark 2.1
  • Remark 2.2
  • Remark 2.3
  • Remark 2.4
  • Theorem 2.3
  • Remark 2.5
  • Remark 2.6
  • ...and 47 more