Mathc matrices/05g
Apparence
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c00a.c |
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/* ------------------------------------ */
/* Save as : c00a.c */
/* ------------------------------------ */
#include "v_a.h"
/* ------------------------------------ */
#define RCA RC4
/* ------------------------------------ */
/* ------------------------------------ */
int main(void)
{
double a[RCA*RCA] ={
+0.729876318493, +0.169778846788, -0.191923913761, -0.362625471673,
+0.169778846788, +0.893290152659, +0.120628523081, +0.227918315245,
-0.191923913761, +0.120628523081, +0.863637321734, -0.257646791146,
-0.362625471673, +0.227918315245, -0.257646791146, +0.513196207114
};
double v[RCA*RCA] ={
+0.532141930309, -0.579194958348, -0.801954709350, +0.519734241230,
+0.846655163574, +0.000000000000, +0.000000000000, -0.326664732319,
+0.000000000000, +0.815189057964, +0.000000000000, +0.369273175665,
+0.000000000000, +0.000000000000, +0.597384837564, +0.697713259790
};
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 = i_mR(RCA,RCA);
double **T = i_mR(RCA,RCA);
clrscrn();
printf(" A :");
p_mR(A, S8,P6, C4);
printf(" V :");
p_mR(V, S9,P6, C4);
printf(" EValue = invV * A * V");
mul_mR(invV,A,T);
mul_mR(T,V,EValue);
p_mR(EValue, S9,P6, C4);
printf(" A = V * EValue * invV");
mul_mR(V,EValue,T);
mul_mR(T,invV,A);
p_mR(A, S8,P6, C4);
stop();
clrscrn();
printf(" The matrix A projects the space in the direction\n"
" of the eigenvector V4 on a hyperplan determined\n"
" by the eigenvector V1,V2 and V3 if :\n\n"
" The eigenvector V1 has its eigenvalue equal to one and \n"
" The eigenvector V2 has its eigenvalue equal to one and \n"
" The eigenvector V3 has its eigenvalue equal to one and \n"
" The eigenvector V4 has its eigenvalue equal to zero and \n\n"
" If The vectors V1,V2,V3 and V4 are linearly independent \n\n"
" det(V) = %.5e\n\n",det_R(V));
stop();
f_mR(A);
f_mR(V);
f_mR(invV);
f_mR(T);
f_mR(EValue);
return 0;
}
/* ------------------------------------ */
/* ------------------------------------ */
Vérifier les calculs.
Exemple de sortie écran :
A :
+0.729876 +0.169779 -0.191924 -0.362625
+0.169779 +0.893290 +0.120629 +0.227918
-0.191924 +0.120629 +0.863637 -0.257647
-0.362625 +0.227918 -0.257647 +0.513196
V :
+0.532142 -0.579195 -0.801955 +0.519734
+0.846655 +0.000000 +0.000000 -0.326665
+0.000000 +0.815189 +0.000000 +0.369273
+0.000000 +0.000000 +0.597385 +0.697713
EValue = invV * A * V
+1.000000 +0.000000 +0.000000 +0.000000
-0.000000 +1.000000 +0.000000 -0.000000
+0.000000 +0.000000 +1.000000 +0.000000
-0.000000 -0.000000 -0.000000 +0.000000
A = V * EValue * invV
+0.729876 +0.169779 -0.191924 -0.362625
+0.169779 +0.893290 +0.120629 +0.227918
-0.191924 +0.120629 +0.863637 -0.257647
-0.362625 +0.227918 -0.257647 +0.513196
Press return to continue.
The matrix A projects the space in the direction
of the eigenvector V4 on a hyperplan determined
by the eigenvector V1,V2 and V3 if :
The eigenvector V1 has its eigenvalue equal to one and
The eigenvector V2 has its eigenvalue equal to one and
The eigenvector V3 has its eigenvalue equal to one and
The eigenvector V4 has its eigenvalue equal to zero and
If The vectors V1,V2,V3 and V4 are linearly independent
det(V) = -7.93301e-01
Press return to continue.