Linear Algebra and the C Language/a0lx

/* ------------------------------------ */
/*  Save as:   c01d.c                   */
/* ------------------------------------ */
#include "v_a.h"
/* ------------------------------------ */     
#define RCA          RC3  
/* ------------------------------------ */       
/* ------------------------------------ */
int main(void)
{                          
double a[RCA*RCA]={
+8.146673651126, +0.924044002095,  +1.085385018334, 
+0.924044002095, +13.821477213201, +6.837925615505, 
+1.085385018334, +6.837925615506,  +16.031849135673      
};

double v[RCA*RCA]={
+0.102355700213, -0.987635528464, -0.990992430410, 
+0.644840911344, +0.156767544201, +0.000000000000, 
+0.757432181579, +0.000000000000, +0.133917896001     
};
                        
double **A      =  ca_A_mR(a, i_mR(RCA,RCA));
double **V      =  ca_A_mR(v, i_mR(RCA,RCA));
double **invV   = invgj_mR(V, i_mR(RCA,RCA));
double **EValue =  eigs_mR(A, i_mR(RCA, RCA));

double **T      =             i_mR(RCA,RCA);

  clrscrn(); 
  printf(" The eigenvectors associated with eigenvalues\n"
         " with multiple multiplicity are not unique.  \n"
         " There exist several set of unit vectors that\n"
         " correspond to the same eigenspace.      \n\n\n"
         
         " An eigenvector associated with an eigenvalue\n"
         " with single multiplicity  is unique, up to a\n"
         " change in the sign.                     \n\n\n");
  stop();
    
  clrscrn();         
  printf(" A:");
  p_mR(A, S9,P5, C4);     

  printf(" V:");
  p_mR(V, S9,P5, C4); 
 
  printf(" EValue = invV A V");
  mul_mR(invV,A,T);
  mul_mR(T,V,EValue);
  p_mR(clean_eye_mR(EValue), S9,P5, C4);  
         
  printf(" A = V EValue invV");
  mul_mR(V,EValue,T);
  mul_mR(T,invV,A); 
  p_mR(A, S9,P5, C4);     
  stop();
              
  f_mR(A);
  f_mR(V);  
  f_mR(invV);  
  f_mR(T);  
  f_mR(EValue);
  
  return 0;
}
/* ------------------------------------ */
/* ------------------------------------ */

                                                                                       
 The eigenvectors associated with eigenvalues
 with multiple multiplicity are not unique.  
 There exist several set of unit vectors that
 correspond to the same eigenspace.      


 An eigenvector associated with an eigenvalue
 with single multiplicity  is unique, up to a
 change in the sign.                     


 Press return to continue. 


 A:
 +8.14667  +0.92404  +1.08539 
 +0.92404 +13.82148  +6.83793 
 +1.08539  +6.83793 +16.03185 

 V:
 +0.10236  -0.98764  -0.99099 
 +0.64484  +0.15677  +0.00000 
 +0.75743  +0.00000  +0.13392 

 EValue = invV A V
+22.00000  +0.00000  +0.00000 
 +0.00000  +8.00000  +0.00000 
 +0.00000  +0.00000  +8.00000 

 A = V EValue invV
 +8.14667  +0.92404  +1.08539 
 +0.92404 +13.82148  +6.83793 
 +1.08539  +6.83793 +16.03185 

 Press return to continue.