 
 Try the examples in this order. 

 (You can compile the *.c files directly without create a project)

 The vector x is an eigenvector of A corresponding
 to the eigenvalue L since Ax = Lx                    : eigenA.c

 The vector x is an eigenvector of A corresponding
 to the eigenvalue L since Ax = Lx
                        InvAx = (1/L)x                : eigenB.c

 The vector x is an eigenvector of A corresponding
 to the eigenvalue L since     Ax = Lx
         If s is a scalar (A-sI)x = (L-s)x            : eigenC.c 

  A and the Transpose(A) have 
  the same characteristic equation                    : eigenD.c  

  The vector x is an eigenvector of A corresponding
  to the eigenvalue L since     Ax = Lx
                            A**2x =  L**2 x           : eigenE.c   
                  
  The vector x is an eigenvector of A corresponding
  to the eigenvalue L since     Ax = Lx
                            A**3x =  L**3 x           : eigenF.c 

  Compute InvP A P which is a diagonal matrix         : eigenG.c 

           A**2 = P D**2 InvP                         : eigenH.c 

           A**5 = P D**5 InvP                         : eigenI.c 

        The Cayley-Hamilton theorem                   : eigenJ.c 
