4. Which set of matrices, {A, B} or {A,C}, is more linearly independent? In particular, compute the angle (in degrees) between matrices using the Frobenius inner product to answer the question. A = 100 0 B = 000 122 ,C = 210 02 4-(1) - (2) - ( 1 ) Hint: The Frobenius inner product is given by m 12 (A, B)=ajbi‚j. i=1 j=1 for mxn matrices. • Let (V,(,)) be an inner product space. The angle between two vectors u, v ЄV is given by (u, v) Đ(u, v) = arccos uv where ||-|| is the norm induced by the given inner product.
4. Which set of matrices, {A, B} or {A,C}, is more linearly independent? In particular, compute the angle (in degrees) between matrices using the Frobenius inner product to answer the question. A = 100 0 B = 000 122 ,C = 210 02 4-(1) - (2) - ( 1 ) Hint: The Frobenius inner product is given by m 12 (A, B)=ajbi‚j. i=1 j=1 for mxn matrices. • Let (V,(,)) be an inner product space. The angle between two vectors u, v ЄV is given by (u, v) Đ(u, v) = arccos uv where ||-|| is the norm induced by the given inner product.
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter7: Distance And Approximation
Section7.4: The Singular Value Decomposition
Problem 33EQ
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