A Hyperbolic Approximation of the Nonlinear Schrödinger Equation
Abhijit Biswas, Laila S. Busaleh, David I. Ketcheson, Carlos Muñoz-Moncayo, Manvendra Rajvanshi
TL;DR
This work introduces NLSH, a first-order hyperbolic relaxation of the nonlinear Schrödinger equation, and proves its strict hyperbolicity alongside a modified Hamiltonian framework with at least three conserved quantities that approximate the NLS invariants. It derives explicit standing-wave solutions for NLSH that converge to NLS ground states as the relaxation parameter $\tau\to0$, and develops asymptotic-preserving, mass-conserving discretizations based on ImEx Runge-Kutta schemes that remain stable and consistent in the stiff limit while recovering a discretization of NLS. Numerical experiments in both focusing and defocusing regimes validate the AP/AA properties, demonstrate accurate soliton and front approximations, and show the practical benefits of relaxation-enhanced conservation for long-time integration. Overall, the approach preserves more of the original Hamiltonian structure than prior hyperbolic approximations and suggests promising extensions to higher dimensions and nonperiodic boundaries, with open questions about additional invariants and modulation phenomena.
Abstract
We study a first-order hyperbolic approximation of the nonlinear Schrödinger (NLS) equation. We show that the system is strictly hyperbolic and possesses a modified Hamiltonian structure, along with at least three conserved quantities that approximate those of NLS. We provide families of explicit standing-wave solutions to the hyperbolic system, which are shown to converge uniformly to ground-state solutions of NLS in the relaxation limit. The system is formally equivalent to NLS in the relaxation limit, and we develop asymptotic preserving discretizations that tend to a consistent discretization of NLS in that limit, while also conserving mass. Examples for both the focusing and defocusing regimes demonstrate that the numerical discretization provides an accurate approximation of the NLS solution.
