Consider a Cholesky factorization of the matrix appearing in the normal equations for A E R^mxn, A^T ALL^T. Show that the columns of the matrix AL ^-T are orthonormal. In other words, this matrix is orthogonal in the case m = n. Next, based on this fact, describe how to construct a reduced QR factorization of A using the Cholesky factorization of A^TA.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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Consider a Cholesky factorization of the matrix appearing in the normal equations for \( A \in \mathbb{R}^{m \times n} \),

\[ A^T A = L L^T. \]

Show that the columns of the matrix \( A L^{-T} \) are orthonormal. In other words, this matrix is orthogonal in the case \( m = n \). Next, based on this fact, describe how to construct a reduced QR factorization of \( A \) using the Cholesky factorization of \( A^T A \).
Transcribed Image Text:Consider a Cholesky factorization of the matrix appearing in the normal equations for \( A \in \mathbb{R}^{m \times n} \), \[ A^T A = L L^T. \] Show that the columns of the matrix \( A L^{-T} \) are orthonormal. In other words, this matrix is orthogonal in the case \( m = n \). Next, based on this fact, describe how to construct a reduced QR factorization of \( A \) using the Cholesky factorization of \( A^T A \).
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