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Ken McLaughlin

Publications and source records attributed to Ken McLaughlin.

3 recordsLinked to original sources

Soliton Synchronization with Randomness: Rogue Waves and Universality

We consider an $N$-soliton solution of the focusing nonlinear Schr\"{o}dinger equations. We give conditions for the synchronous collision of these $N$ solitons. When the solitons velocities are well separated and the solitons have equal amplitude, we show that the local wave profile at the collision point scales as the $\operatorname{sinc}(x)$ function. We show that this behaviour persists when the amplitudes of the solitons are i.i.d. sub-exponential random variables. Namely the central collision peak exhibits universality: its spatial profile converges to the $\operatorname{sinc}(x)$ function, independently of the distribution. We derive Central Limit Theorems for the fluctuations of the profile in the near-field regime (near the collision point) and in the far-regime.

nlin.PS

Collisionless shock region of the KdV equation and an entry in Gradshteyn and Ryzhik

The long-time behavior of solutions to the initial value problem for the Korteweg-de Vries equation on the whole line, with general initial conditions has been described uniformly using five different asymptotic forms. Four of these asymptotic forms were expected: the quiescent behavior (for |x| very large), a soliton region (in which the solution behaves as a collection of isolated solitary waves), a self-similar region (in which the solution is described via a Painlev\'e transcendent), and a similarity region (where the solution behaves as a simple trigonometric function of the quantities t and x/t). A fifth asymptotic form, lying between the self-similar (Painlev\'e) and the similarity one, has been described in terms of classical elliptic functions. An integral of elliptic type, giving an explicit representation of the phase, has appeared in this context. The same integral has appeared in the table of integrals by Gradshteyn and Ryzhik. Our goal here is to confirm the validity of this entry.

math.CA

Optimal tail estimates for directed last passage site percolation with geometric random variables

In this paper, we obtain optimal uniform lower tail estimates for the probability distribution of the properly scaled length of the longest up/right path of the last passage site percolation model considered by Johansson in [12]. The estimates are used to prove a lower tail moderate deviation result for the model. The estimates also imply the convergence of moments, and also provide a verification of the universal scaling law relating the longitudinal and the transversal fluctuations of the model.

math.PR