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10.3. THE KRONECKER CANONICAL FORM OF A MATRIX PENCIL 171<br />

Example 10.1. As an illustrative example, the Kronecker canonical form of a pencil<br />

B + ρ 1 C with h =2,g =1,ε 1 =2,ε 2 =3,η 1 = 1 and η 2 = 2 is shown below:<br />

⎛<br />

⎞<br />

0<br />

0<br />

ρ 1 1 0<br />

0 ρ 1 1<br />

ρ 1 1 0 0<br />

0 ρ 1 1 0<br />

0 0 ρ 1 1<br />

. (10.24)<br />

ρ 1<br />

1<br />

ρ 1 0<br />

1 ρ 1<br />

⎜<br />

⎟<br />

⎝<br />

0 1<br />

⎠<br />

D r + ρ 1 E r<br />

The empty blocks correspond <strong>to</strong> zero blocks of appropriate dimensions. The pencil<br />

D r + ρ 1 E r is the regular part of the pencil B + ρ 1 C, which can also be brought in<strong>to</strong><br />

a canonical form as in (10.20).<br />

Matrix pencils B + ρ 1 C and D + ρ 1 E, of dimension m × n, related by Equation<br />

(10.16), where W and V are square non-singular matrices independent of ρ 1 , are called<br />

strictly equivalent. The eigenvec<strong>to</strong>r ṽ in the eigenvalue problem (B + ρ 1 C)ṽ =0is<br />

transformed conformably <strong>to</strong> w = V −1 ṽ such that the following equation holds:<br />

W −1 (B + ρ 1 C)V (V −1 ṽ)=(D + ρ 1 E)w =0. (10.25)<br />

As shown in Theorem 10.3, the Kronecker Canonical form allows for a decomposition<br />

of a singular matrix pencil in<strong>to</strong> a regular and a singular part. The singular part<br />

relates <strong>to</strong> all the so-called indeterminate eigenvalues. The regular part is what we are<br />

interested in since it relates <strong>to</strong> infinite and finite eigenvalues. For our purposes, the<br />

indeterminate, the infinite and the zero eigenvalues will not yield feasible solutions<br />

for our model-order reduction problem and should therefore all be excluded. The<br />

associated Jordan block structure for these eigenvalues can be obtained with exact<br />

arithmetic (if one starts from an exact matrix pencil B +ρ 1 C). In this way it is possible<br />

<strong>to</strong> arrive algebraically at a smaller sized exact regular matrix pencil in which both<br />

matrices are invertible. Its eigenvalues can then be computed reliably by standard<br />

numerical methods.<br />

In the next subsections the decomposition of a singular matrix pencil in<strong>to</strong> a singular<br />

and a regular part and the deflation of a matrix pencil is discussed. Actually,<br />

the parts corresponding <strong>to</strong> indeterminate, zero and infinite eigenvalues are split off<br />

using exact arithmetic and the finite eigenvalues of the remaining (regular) part are<br />

computed using numerical arithmetic.

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