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334    CHAPTER 10  Systems of Linear Differential Equations

                                                 y
                                               10
                                                                                          y

                                               5



                                                                   x
                                     –10   –5  0       5    10
                                                                                                           x
                                               –5




                                                                            FIGURE 10.19 Proper node in Case 3(a).
                                 FIGURE 10.18 Phase portrait in Example
                                 10.21.
                                                                 y
                                                                                   W + 2E
                                                                         W + E
                                                                    W
                                                         W − E
                                                                         E
                                                                                x




                                                                        −W + 2E


                                                      FIGURE 10.20 W and E in Case 3(b).


                                 This means that the trajectories in this case are half-lines from the origin. If λ> 0, these move
                                 away from the origin as t increases, and if λ< 0, they move toward the origin. The origin in this
                                 case is called a proper node. Figure 10.19 illustrates this for trajectories moving away from the
                                 origin.

                                 Case 3(b): A Does Not Have Two Linearly Independent Eigenvectors

                                 In this case the general solution has the form
                                                                          λt
                                                                                  λt
                                                         X(t) =[c 1 W + c 2 E]e + c 1 Ete ,
                                 where E is an eigenvector and W is determined by the procedure outlined in Section 10.2.2.
                                    To visualize the trajectories, begin with arrows from the origin representing W and E.Using
                                 these we can draw vectors c 1 W + c 2 E, which may have various orientations relative to W and
                                 E, depending on the signs and magnitudes of the constants. Some possibilities are shown in
                                 Figure 10.20. For given c 1 and c 2 , c 1 W + c 2 E + c 1 Et sweeps out a straight line L as t varies. For
                                                λt
                                 agiven t, X(t) is e times this vector (see Figure 10.21). If λ is negative, this vector shrinks to
                                 zero length as t →∞ and X(t) sweeps out a curve that approaches the origin tangent to E.If λ
                                 is positive, reverse the orientation on this trajectory.




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                                   October 14, 2010  20:32  THM/NEIL   Page-334        27410_10_ch10_p295-342
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