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which has the same eigenvalues of C <strong>with</strong> double multiplicity.<br />

Another choice to approximate theξ-derivatives is to use the spectralξ-derivative,<br />

whose corresponding matrix is<br />

D=<br />

⎡<br />

⎢⎣<br />

− 1 2<br />

− 1 2<br />

0 − 1 2<br />

cot(<br />

1∆ξ<br />

2 ) ...<br />

cot(<br />

1∆ξ<br />

2 )<br />

...<br />

1 2∆ξ<br />

cot( )<br />

2 2<br />

1 2∆ξ<br />

cot( ) ... − 1 3∆ξ<br />

cot( )<br />

2 2 2 2<br />

− 1 2<br />

3∆ξ<br />

cot( ) ...<br />

2<br />

.<br />

...<br />

... − 1 2<br />

cot(<br />

(N−1)∆ξ<br />

2<br />

) 0<br />

.<br />

cot(<br />

(N−1)∆ξ<br />

2<br />

)<br />

⎤<br />

⎥⎦<br />

.<br />

Here we also have a skew-symmetric, Toeplitz, circulant matrix <strong>with</strong> imaginary<br />

eigenvalues ik, k=−N/2+1,..., N/2−1, <strong>with</strong> zero having multiplicity 2. With<br />

it, the discretization of the non-dispersive LFM leads to an ODEs system <strong>for</strong>ηand<br />

u 1 involving the block matrix<br />

⎡<br />

⎢⎣<br />

D<br />

D<br />

⎤<br />

⎥⎦ .<br />

This block matrix has the same imaginary eigenvalues of D <strong>with</strong> double multiplicity.<br />

The rule of thumb <strong>for</strong> stability (valid <strong>for</strong> normal matrices) is [28]: the method<br />

of lines is stable if the eigenvalues of the linearized spatial discretization operator,<br />

scaled by∆t, lie in the stability region of the time-discretization operator.<br />

In Fig. 4.1 we depict the stability regions <strong>for</strong> the fourth order Runge-Kutta integration<br />

scheme (RK4), the fifth order, four step Adams-Moulton scheme (AM4)<br />

and the fourth order, three step Adams-Moulton scheme (AM3). Along the imag-<br />

57

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