Differential Equations and Linear Algebra (4th Edition)

Published by Pearson
ISBN 10: 0-32196-467-5
ISBN 13: 978-0-32196-467-0

Chapter 5 - Inner Product Spaces - 5.4 Least Squares Approximation - Problems - Page 375: 18

Answer

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Work Step by Step

Let A be an $n \times n$ invertible matrix. The least squares solution is given by $x_0=(A^TA)^{-1}A^Tb$ Since $A$ is an invertible matrix, $A^T$ then will be: $A^T(A^T)^{-1}=(A^T)^{-1}A^T=I$ We can obtain: $x_0=(A^TA)^{-1}A^Tb \\ =A^{-1}(A^T)^{-1}A^Tb \\ =A^{-1}b$ Hence, $x_0=x=A^{-1}b$ t the It is proved that the unique solution to the linear system $Ax = b$, is also the least squares solution for this system.
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