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Studies on Some Aspects of Light Beam Propagation Through ...

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12 Optical Solit<strong>on</strong>s : An Introducti<strong>on</strong><br />

exactly unless for certain idealized c<strong>on</strong>diti<strong>on</strong>s. Approximate methods have<br />

been used to study general n<strong>on</strong>linear partial differential equati<strong>on</strong>s. Variati<strong>on</strong>al<br />

method is <strong>on</strong>e am<strong>on</strong>g them. Here wc will describe the variati<strong>on</strong>al<br />

method used in this thesis for studying the different n<strong>on</strong>linear systems.<br />

The method first introduced by \Vhitham.22 It centres up<strong>on</strong> the use <strong>of</strong> an<br />

average Lagrangian density and the inevitable introducti<strong>on</strong> <strong>of</strong> trial functi<strong>on</strong>s.<br />

\Vhitham points out that the variati<strong>on</strong>al approach is not a separate<br />

method and that it permits the development <strong>of</strong> quite general results but<br />

naturally the accuracy <strong>of</strong> any descripti<strong>on</strong> must depend up<strong>on</strong> a judicious<br />

choice <strong>of</strong> trial functi<strong>on</strong>s. The variati<strong>on</strong>al method was applied to the NLS<br />

equati<strong>on</strong> first by Anders<strong>on</strong>. 23 By means <strong>of</strong> a Gaussian trial functi<strong>on</strong> and<br />

a Ritz optimizati<strong>on</strong> procedure, approximate soluti<strong>on</strong>s arc obtained for the<br />

evoluti<strong>on</strong> <strong>of</strong> pulse width, pulse amplitude and frequency chirp during propagati<strong>on</strong>.<br />

The result so obtained was in good comparis<strong>on</strong> with that from<br />

inverse scattering and numerical simulati<strong>on</strong>s. Since then the method has<br />

been used successively by various authors. 24 - 27<br />

The method proceeds by first writing the Lagrangian associated with<br />

the system under study. A suitable trial soluti<strong>on</strong> is assumed using which<br />

a reduced Lagrangian is obtained. A set <strong>of</strong> evoluti<strong>on</strong> equati<strong>on</strong>s called<br />

Euler-Lagrange equati<strong>on</strong> is obtained by finding the variati<strong>on</strong> <strong>of</strong> the various<br />

unknown parameters in the ansatz with respect to the reduced Lagrangian.<br />

Lagrangian formulati<strong>on</strong><br />

To illustrate the variati<strong>on</strong>al method, let us c<strong>on</strong>sider the n<strong>on</strong>linear Schr-<br />

6dinger equati<strong>on</strong> <strong>of</strong> the form<br />

(1.21)<br />

where u is the field, z is the propagati<strong>on</strong> directi<strong>on</strong>, x and y are the two<br />

transverse dimensi<strong>on</strong>s and s is a parameter signifying the strength <strong>of</strong> the<br />

n<strong>on</strong>linearity. The NLS can be restated as a variati<strong>on</strong>al problem by casting<br />

it in the form <strong>of</strong> the Euler-Lagrangc equati<strong>on</strong><br />

8 ( 8L) 8 ( 8L) 8 ( 8L) 8L<br />

fJz fJXx + fJy 8Xx + 8z 8X - oX = 0,<br />

lI<br />

where X = 11, or 'U,* and the Lagrangian L is given by<br />

(1.22)<br />

i (* *) 1 12 1 2 sI ,1<br />

L = "2 11Uz - U 11z + U;r: + U y 1 -"2 ul . (1.23)

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