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6. The absolute norm for tensor of two eigenvectors of A=(¯¹) is 3 (b) √3 (d) None of the above (a) 0 (c) √2 O a O b с O d

6. The absolute norm for tensor of two eigenvectors of A=(¯¹) is 3 (b) √3 (d) None of the above (a) 0 (c) √2 O a O b с O d

Linear Algebra: A Modern Introduction
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter4: Eigenvalues And Eigenvectors
Section4.6: Applications And The Perron-frobenius Theorem
Problem 70EQ
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I 74 la * 5. Let T'is a matrix of iterative method for solving linear system Ax b. If A is a positive definite and tridiagonal matrix, then p(T) is equal to (b) [p(Ta)12 (d) None of the above. (a) √p(TG) (c) p(Ta) a d 6. The absolute norm for tensor of two eigenvectors of A = = (-_-³₁-3) is (b) √3 (d) None of the above. (a) 0 9:06 ص 2 A A (c) √2 a
Transcribed Image Text:I 74 la * 5. Let T'is a matrix of iterative method for solving linear system Ax b. If A is a positive definite and tridiagonal matrix, then p(T) is equal to (b) [p(Ta)12 (d) None of the above. (a) √p(TG) (c) p(Ta) a d 6. The absolute norm for tensor of two eigenvectors of A = = (-_-³₁-3) is (b) √3 (d) None of the above. (a) 0 9:06 ص 2 A A (c) √2 a
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