WAVE PROPAGATION IN THE LUGIATO-LEFEVER EQUATION
This final project will study the Lugiato-Lefever equation, which, in physical terms, is an experiment involving the shooting of laser light onto a plate. The Lugiato- Lefever equation is a nonlinear Schr¨odinger equation that describes the behavior of light in a nonlinear optical resonator, such...
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Main Author: | |
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/77561 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | This final project will study the Lugiato-Lefever equation, which, in physical terms,
is an experiment involving the shooting of laser light onto a plate. The Lugiato-
Lefever equation is a nonlinear Schr¨odinger equation that describes the behavior of
light in a nonlinear optical resonator, such as Kerr frequency waves in an optical
microresonator. The nonlinear Schr¨odinger equation is a mathematical equation
that explains the time evolution of a physical system. It takes the form of a
differential equation with wave-like characteristics and is used as a mathematical
model for wave propagation. The Lugiato-Lefever equation contains a secondorder
derivative operator, so methods are employed to approximate the second
derivative, namely pseudo-spectral and methods. In this final project, we will seek
to determine the bifurcation diagram generated, assess the stability of this diagram,
and if there are unstable points, investigate where the solutions will escape to. A
bifurcation diagram is a chart that depicts the relationship between variables and
parameters concerning equilibrium points. It represents the solution diagram of the
problem at hand. The methods used include the Newton-Raphson method to find
equilibrium values, numerical continuation to identify turning points, and Runge-
Kutta for examining solutions in the unstable regions. Scaling methods will also
be employed to compare previous results, but the second derivative approximation
used will differ, utilizing fast Fourier transform. The Lugiato-Lefever equation also
contains diffusion terms, so the author also attempts to find the patterns generated
in the 2D domain using fast Fourier transform, Newton-Raphson, and Runge-Kutta.
Simulations are conducted using MATLAB, and for stability determination, the
author utilizes Maple 18. |
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