Problem set 4
• For each of the following matrices (of order n)
       – determine eigenvalues and eigenvectors;
       – identify the directions defined by eigenvectors (eigendirections); when eigenvectors
         are real and n = 2, provide their graphical representation in the cartesian plane;
       – say if the matrix can be diagonalized;
        – when possible, determine the invertible matrix S (with eigenvectors of A as columns)
           and the diagonal matrix Λ such that Λ = S −1 AS; by direct computation, verify that
           Λ = S −1 AS and A = SΛS −1                          
                   7 −4
        i) A =
                   5 −2
                                  
                    5    12 −6
       ii) A =  −3 −10 6 
                   −3 −12 5                       
                   1 1
     iii) A =
                   0 1                            
                   −2 −6
      iv) A =
                    3    4                          
                    7 4
       v) A =
                   −1 3
                                 
                   −2 1        0
      vi) A =  0 −1 −1 
                    0 −3 −3
                              
                   2 0 −1
     vii) A =  4 1 −4 
                   2 0 −1
                            
                   0 2 2
    viii) A =  2 0 2 
                   2 2 0
                              
                   0 0 1
      ix) A =  1 0 −1 
                   0 1 1
                                            86
                   
             −2 1 4
    x) A =  −2 1 4 
             −2 1 4
• Given the homogeneous linear system of the first order
                                                                                     ẋ1         −1 0           x1
                                    =
                              ẋ2          0 −3          x2
    1. find fundamental solutions (those with initial conditions matching eigenvectors);
    2. write the general solution;
    3. determine the particular solutions, each corresponding to the following initial condi-
       tions
         – x(1) (0) = (1, 0)
         – x(2) (0) = (0, 1)
         – x(3) (0) = (0, 0)
         – x(4) (0) = (−1, 1)
         – x(5) (0) = (2, 3)
         – x(6) (0) = (1, −3)
         – x(7) (0) = (−1, −1)
    4. with the aid of the direction field, draw the trajectories originated from each of the
       porevious initial conditions;
    5. show that limt→+∞ x(t) = 0, for all initial conditions x0 .
• Geven the affine (or non-homogeneous) linear system of the first order ẋ = Ax+b defined
  by                                                          
                           ẋ1      −1 1            x1           3
                                =                         +
                           ẋ2       1 −3           x2          −2
                                           87
                                                                                                      
                                                                 1                        0          3
    1. verify that the general solution is x(t) = A1   e−t               +A2   e−3t            +
                                                                 0                        1         −2/3
    2. verify that the constant function x(t) = −A−1 b is a particular (fixed point) solution;
    3. determine the particular solutions with the following initial conditions
         – x(1) (0) = (3, 2)
          – x(2) (0) = (−3, −2/3)
          – x(3) (0) = (3, −2/3)
          – x(4) (0) = (−1, 1)
          – x(5) (0) = (2, 3)
          – x(6) (0) = (1, −3)
          – x(7) (0) = (−1, −1)
    4. specify the time dependence of each dynamic variables x 1 and x2 along the trajecto-
       ries with the initial conditions above specified; also, provide graphical representations
       of x1 (t) and x2 (t);
    5. show that the variable z := x + A−1 b satisfy the linear (homogeneous) equation
                                                 ż = Az
• Consider a linear system ẋ = Ax, where A is a 2 × 2 matrix. Choose A such that 0 is
  the unique fixed point of the system and, alternatively, this fixed point is
    1.   a stable node;
    2.   a stable focus:
    3.   an unstable focus;
    4.   an unstable node;
    5.   a saddle.
  In each case, sketch the phase space of the system with eigenvalues and lines of null
  variations of state variables. Finally, choose A such that 0 is not the unique fixed point.
                                            88
• Rewrite the followins ODE as systems of differential equations of first order
    1. ẍ + x = 1
        ...
    2. x + 3ẍ − 2x = 0
        d4              1
    3. 4 x + 4ẍ − ẋ − x = 2
       dt               2
       
            ẍ1 + x = 1
    4.
            ẍ2 + ẋ2 − x2 + x1 = −1
    5. ẍ − tx = t2 + 2
• Consider the following linear system ẋ = Ax defined by
                                                                                         ẋ1         1 −2         x1
                                      =
                                 ẋ2        −3 2          x2
  find two independent eigenvators v 1 and v 2 of A and verify with a direct computation
  that the function
                                  x = 3e4t v 1 − 5e−t v 2
  is a solution of the system.
                                           89