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Theory, Design and Tests on a Prototype Module of a Compact ...

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48 4. CIRCUIT MODEL<br />

For the latest term <strong>of</strong> the matrix, it is valid that<br />

I1 = ( R<br />

2<br />

<str<strong>on</strong>g>and</str<strong>on</strong>g> again<br />

V ′<br />

2 = jωMI1 − jω L<br />

2 I2 =<br />

+ 1<br />

jω2C<br />

R<br />

2<br />

+ 1<br />

jω2C<br />

L I2<br />

+ jω )<br />

2 jωM → t22 = ( R 1<br />

+<br />

2 jω2C<br />

<br />

I2<br />

L 1<br />

+ jω )<br />

2 jωM<br />

t22 = t11. (4.6)<br />

Then we can write the whole transmissi<strong>on</strong> matrix<br />

⎛<br />

t11 (t<br />

⎜<br />

T = ⎝<br />

2 ⎞<br />

11 − 1)jωM<br />

⎟<br />

1<br />

⎠ (4.7)<br />

t11<br />

jωM<br />

<str<strong>on</strong>g>and</str<strong>on</strong>g> it is apparent that the matrix determinant is unitary, as expexted<br />

for a reciprocal system.<br />

In order to represent a chain <strong>of</strong> cavities, in the following secti<strong>on</strong>s<br />

we use powers <strong>of</strong> the matrix T . In this sense a spectral decompositi<strong>on</strong><br />

<strong>of</strong> matrix T would be useful, being<br />

T = UΛU −1 → T N = UΛ N U −1 , (4.8)<br />

where U is the eigenvectors matrix <str<strong>on</strong>g>and</str<strong>on</strong>g> Λ is the eigenvalues diag<strong>on</strong>al<br />

matrix, namely<br />

<br />

λ1<br />

Λ =<br />

0<br />

0<br />

λ2<br />

<br />

(4.9)<br />

where λ1 <str<strong>on</strong>g>and</str<strong>on</strong>g> λ2 are soluti<strong>on</strong>s <strong>of</strong> the characteristic polynomial<br />

det(T − ΛI) = 0 → λ1,2 = t11 ±<br />

<str<strong>on</strong>g>and</str<strong>on</strong>g> by introducing a new variable x, such that<br />

<br />

t 2 11 − 1 (4.10)<br />

t11 = cosh x, (4.11)<br />

we obtain a rati<strong>on</strong>alizati<strong>on</strong> <strong>of</strong> the expressi<strong>on</strong>s<br />

<br />

cosh x + sinh x<br />

Λ =<br />

0<br />

⎛<br />

jωM sinh x<br />

<br />

0<br />

cosh x − sinh x<br />

⎞<br />

1<br />

(4.12)<br />

⎜<br />

⎟<br />

,U = ⎝<br />

j<br />

⎠<br />

1<br />

ωM sinh x<br />

,U<br />

(4.13)<br />

−1 = 1<br />

⎛<br />

⎞<br />

j<br />

−<br />

1<br />

⎜<br />

⎝<br />

ωM sinh x<br />

⎟<br />

⎠ .<br />

2<br />

1 −jωM sinh x<br />

(4.14)

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