2020
DOI: 10.1016/j.cnsns.2019.105058
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Extreme wave events for a nonlinear Schrödinger equation with linear damping and Gaussian driving

Abstract: We perform a numerical study of the initial-boundary value problem, with vanishing boundary conditions, of a driven nonlinear Schrödinger equation (NLS) with linear damping and a Gaussian driver. We identify Peregrine-like rogue waveforms, excited by two different types of vanishing initial data decaying at an algebraic or exponential rate. The observed extreme events emerge on top of a decaying support. Depending on the spatial/temporal scales of the driver, the transient dynamics -prior to the eventual decay… Show more

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Cited by 9 publications
(19 citation statements)
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“…In [1], we considered the case of a Gaussian driver f = f (x, t), and for the problem supplemented with vanishing boundary conditions, we found that the PRW-structures emerged on the top of a decaying support. Particularly, we found that pending on the spatial/temporal scales of the driver, the transient dynamics prior the ultimate decay of the solutions, resembles the one in the semiclassical limit of the integrable NLS [4], [5], [6] (or may lead to large-amplitude breather-like patterns).…”
Section: Introductionmentioning
confidence: 99%
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“…In [1], we considered the case of a Gaussian driver f = f (x, t), and for the problem supplemented with vanishing boundary conditions, we found that the PRW-structures emerged on the top of a decaying support. Particularly, we found that pending on the spatial/temporal scales of the driver, the transient dynamics prior the ultimate decay of the solutions, resembles the one in the semiclassical limit of the integrable NLS [4], [5], [6] (or may lead to large-amplitude breather-like patterns).…”
Section: Introductionmentioning
confidence: 99%
“…In the present study, we aim to move a step forward to the analytical considerations for the problem discussed in [1]: For equation (1), when endowed with vanishing boundary and initial conditions lim |x|→∞ u(x, t) = 0, for all t ≥ 0,…”
Section: Introductionmentioning
confidence: 99%
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