CSODE User's Guide 505
Then we enter the nonzero entries of A in the 2 x 2 array which appears
and which is initially filled with zeros. The entries may be entered as integers,
fixed-point constants, or floating-point constants using E or D exponential
form. To illustrate this feature, we enter a 11 = 1.5 in fixed-point form as 1.5,
a12 = 1 in integer form as 1, a 21 = -2.5 in floating-point form as -.25El,
and az2 = .5 in floating-point form as 5.D - 01. Normally, we would input
the entries of A exactly as they appear in equation (1). After making sure
we have entered the values of A correctly, we click on the VERIFY MATRIX
ENTRIES AND CALCULATE button. This causes a Please Confirm yes/no
box to appear. We clicked yes, since the entries were correct. This causes the
screen shown in Figure A.7 to appear.
Oi EIGEN 1!1~£1
EIGEN finds aU eigenvalues and eigenvectors of a real. square matrix A of order N where 2 <"" N <= 6.
Enler the size of the N x N maltix A. N "' )2 (Aftei you have entered lhe value on N, p1ess the Enle1 key.)
Column 1
Row
,~
2~
(Enter the non-zero entries of the matrix A below.)
2
...... H .. HHH-HOHHHUHHHOH•UOHHOH>-•U<UHOHHH•>H"H-HHmHH""""-""' •rnOHOHHH•HOH•••••-<n0 .. 0-H-HH .. H<••HO-OHH••o•HrnO-•-•••-•<HO•••o•M-HMHHOH'HHOMH-•< •<-•HHOHH'M•HHH'HH .. n<H•OH<•I ;
THE MATRIX tJHOSB EIGENVALUES AND EIGENVECTORS ARE TO BE CALCULATRD IS
l. SOOOB+OO l. OOOOR+OO
-2. SOOOB+OO 5. OOOOB-01
AN EIGENVALUE IS l. OOOOOB+OO t l. SOOOOB+OO I
THE ASSOCIATED EIGENVECTOR IS
- OOOOOB- 01 t -z. OOOOOB-01 I
- OOOOOB+OO + l. OOOOOBtOO I
AN B:ICBNVALUB IS 1. OOOOOE+OO + -L SOOOOB+OO I
THE ASSOCIATED EIGENITECTOR IS - OOOOOE-01 + 2. OOOOOR-01 I
0.00000B+OO + -1.00000BtOO I
- CALCULATE EIGENVALUES THE
EIGENVECTORS AND
OF MATRIX ANEW
Figure A.7 Screen Showing a 2 x 2 Matrix and Its Eigenvalues
and Associated Eigenvectors
For verification purposes, the matrix A with all entries displayed in single
precision, floating-point form appears first in the output list box, followed by
the set of two eigenvalues and associated eigenvectors. From Figure A. 7 we
see that one eigenvalue is ,\ 1 = 1 + l.5i and the associated eigenvector is
X1 -- (·6 -i .2i) ·
The second eigenvalue is >-2 = 1 - l.5i and the associated eigenvector is
Xz - ( .- 6+ · .2i) ·
-i