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⇤ ← Revision 1 as of 2010-12-17 05:46:24
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← Revision 2 as of 2010-12-18 11:00:23 ⇥
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| var('a,b,c,d') A=matrix([[a,b],[b,c]]) I=matrix([[1,0],[0,1]]) B=A+I print A print B A.eigenvalues() |
i=identity_matrix(2) print i a=matrix([[1,4],[5,6]]) print a a+i a.eigenvalues() (a+i).eigenvalues() /*A AND A+I DONOT HAVE SAME EIGEN VALUES */ |
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| B.eigenvalues() #since the eigen values are not same and form the matrix observation we can say that the matrices are not similar |
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| *srinivas vinay, student, vardhaman college of engineering * <Your Name>, <Profession>, <Organization> |
Tejaswi,student,prakasam Jyothi,student,prakasam |
Book
Linear Algebra
Author
Gilbert Strang
Edition
i=identity_matrix(2) print i print a=matrix([[1,4],[5,6]]) print a a+i a.eigenvalues() (a+i).eigenvalues() /*A AND A+I DONOT HAVE SAME EIGEN VALUES */
Solution by:
Tejaswi,student,prakasam
- Jyothi,student,prakasam