The inline movie below is a sequence of snapshots of the numerical solution to the partial differential equation
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from t=0 to t=0.15 at 0.015 second time intervals. The feature of interest to us is the development of small scale structures which are clearly visible (see if you can find the oscillations in the amplitude of the solution). These oscillations are a manifestation of the equation's dislike for large derivatives.
The intuitive picture is that as time evolves, the "pulse" develops steep slopes, which is a completely non-linear phenomenon. These steep slopes are then "flattened" by a linear mechanism in the equation, which is sometimes called "dispersion".
Such an observable competition between nonlinear and linear mechanisms
is always present in nonlinear partial differential equations, but is
in fact a driving factor in this evolution problem when the
coefficient
in the nonlinear Schroedinger equation (1) is
very very small.
The plots shown above are not for very small values of the parameter
, in fact
= 0.5840! Below are similar plots, with
=
0.1, in which the oscillations are quite prominent.
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What is the goal of our research? First, we would like provide a
uniform asymptotic description of the
solution to (1) which is valid for
very very small, and
estimate the error explicitly, so that we may use our approximation
for more moderate values of
(such as 0.5840).
Second, with this approximation, we would like to investigate parameter regimes in the equation, in order to MINIMIZE the size of the offending oscillations, and MAXIMIZE the time before these oscillations occur.
Exact solution of the geometric optics approximation of the
defocusing nonlinear Schroedinger equation, by
O. Wright,
M. G. Forest,
and K. T-R
McLaughlin
Physics Letters A, 257 (1999) 170-174.
Nonsoliton pulse evolution in normally dispersive fiber, by
M. G. Forest,
J. N. Kutz and
K. T-R
McLaughlin.
J. Opt. Soc. Am. B., 16 (1999), No. 11, 1856-1862.
Thanks to David Adalsteinsson for teaching K. McLaughlin how to make the above inline movies.