Prove that for any m x n matrix A and vector b € Rm, the vector ATb belongs to the image of matrix AT A. (This would prove that the normal equation AT Ax = ATb always has a solution, and, therefore, a least squares solution of Ax=b always exists.) Hint: use the result ker(ATA) = ker(A), and the Fundamental Theorem of Linear Algebra.
Prove that for any m x n matrix A and vector b € Rm, the vector ATb belongs to the image of matrix AT A. (This would prove that the normal equation AT Ax = ATb always has a solution, and, therefore, a least squares solution of Ax=b always exists.) Hint: use the result ker(ATA) = ker(A), and the Fundamental Theorem of Linear Algebra.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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(please make sure if you write the formula in latex etc. it wont show math input error; i couldnt read my former question explanation bc of the math input error. thanks)
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