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56  Complementarity and Variational Inequalities in Electronics


                           Example 23 (Practical Zener diode model). The recession function of the elec-
                           trical superpotential of the practical Zener diode (see Section 2.3.4 in Chapter 2)
                           is
                                             (∀x ∈ R) : (ϕ Z ) ∞ (x) =   {0} (x).

                           4.2 SPECIAL CLASSES OF MATRICES M AND FUNCTIONS

                           In the study of Problem VI(M,q, ), the following definitions of various spe-
                           cial matrices M and functions   will be used. Let M ∈ R n×n , and let U (1) , U (2) ,
                                      n
                           ..., U (p)  ∈ R . We denote by vect{U (1) ,U (2) ,...,U (p) } the set of all possible
                           linear combinations of the vectors U (1) , ..., U (p) , that is,
                                                          p
                                 vect{U (1) ,U (2) ,...,U (p) }={    α i U (i)  : α 1 ,α 2 ,...,α p ∈ R}.
                                                         i=1
                           We denote by R(M) the range of M and by ker(M) the kernel of M. We recall
                           that
                                           R(M) = vect{M (1) ,M (2) ,...,M (n) },

                           where M (1) ,M (2) ,...,M (n)  denote the columns of M.Wealsohave
                                                       T
                                                  R(M ) = ker(M) ⊥
                           and
                                                       T
                                                                 ⊥
                                                  ker(M ) = R(M) .
                           Moreover,
                                         n               T                T
                                        R = ker(M) ⊕ R(M ) = R(M) ⊕ ker(M ).
                           We denote by p M the characteristic polynomial of M, that is,

                                             (∀λ ∈ C) : p M (λ) = det(λI − M).

                           Let σ(M) ⊂ C be the set of eigenvalues of M, that is,
                                                             n
                                        σ(M) ={λ ∈ C :∃ U ∈ C \{0}: MU = λU}.
                           It is well known that

                                              σ(M) ={λ ∈ C : p M (λ) = 0}.

                              For k ∈ N, we denote by M  i 1 i 2 ...i k  the principal submatrix of M, which is
                                                    i 1 i 2 ...i k
                           obtained by choosing the lines and columns whose indexes i 1 <i 2 < ··· <i k
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