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70  Complementarity and Variational Inequalities in Electronics



                           4.2.20 Class of (M, ) ∈ PS0 n
                                                                     n
                           We define by PS0 n the set of (M, ) ∈ R n×n  ×  (R ;R ∪{+∞}) such that
                                                               n
                                                     D(  ∞ ) = R                     (4.18)
                           and
                                                   σ(M) ∩ R ⊂ R + .                  (4.19)

                                                                                     n
                           Example 36. If M is a weakly positive semidefinite matrix and   ∈  (R ;R ∪
                                               n
                           {+∞}) with D(  ∞ ) = R , then (M, ) ∈ PS0 n .
                           4.2.21 Class of (M, ) ∈ DS n
                                                                   n
                           We define by DS n the set of (M, ) ∈ R n×n × (R ;R∪{+∞}) such that there
                                                                             n
                           exists a positive diagonal matrix 	 ∈ R n×n  and a subset K ⊂ R of the form
                                                K = K 1 × K 2 × ··· × K n ,          (4.20)
                           where, for each i ∈{1,...,n}, K i ⊂ R is a nonempty closed convex cone, such
                           that

                                                         =   K                       (4.21)
                           and
                                             (∀x ∈ K,x 
= 0) : Mx,	x  > 0.           (4.22)
                                                                                     n
                           Remark 19. If (M, ) ∈ DS n then (	M, ) ∈ PD n with   ∈ D (R ;R ∪
                           {+∞}).
                           Example 37. Let K = R + × R + × R + ,   =   K , and

                                                     ⎛           ⎞
                                                        1  −20
                                                 M = ⎝ 0    1  0 ⎠ .
                                                                 ⎟
                                                     ⎜
                                                        0   2  1
                           Set
                                                      ⎛         ⎞
                                                        1  0  0
                                                  	 = ⎝ 0  2  0 ⎠ .
                                                      ⎜
                                                                ⎟
                                                        0  0  1
                           We have

                                     3
                                                                                     2
                                                                           2
                           (∀x ∈ K = R ,x 
= 0) : Mx,	x = 	Mx,x = (x 1 − x 2 ) + (x 2 + x 3 ) > 0.
                                     +
                           Thus (M, ) ∈ DS n .
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