Let A be a lower triangular nxn matrix with nonzero entries on the diagonal. Show that A is invertible and A is lower triangular. [Hint: Explain why A can be changed into I using only row replacements and scaling. (Where are the pivots?) Also, explain why the row operations that reduce A to I change I into a lower triangular matrix.] Consider the augmented matrix [A I]. Remember, an nxn matrix A is invertible if and only if A is row equivalent to I, and in this case, any sequence of elementary row operations that reduces A to also transforms I into the identity matrix A inverse the zero matrix the zero matrix. A. the inverse of A.

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter5: Orthogonality
Section5.3: The Gram-schmidt Process And The Qr Factorization
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Let A be a lower triangular nxn matrix with nonzero entries on the diagonal. Show that A is invertible and A is lower triangular. [Hint:
Explain why A can be changed into I using only row replacements and scaling. (Where are the pivots?) Also, explain why the row
operations that reduce A to I change I into a lower triangular matrix.]
Consider the augmented matrix [A I]. Remember, an nxn matrix A is invertible if and only if A is row equivalent to I, and in this case, any
sequence of elementary row operations that reduces A to
also transforms I into
the identity matrix
A inverse
the zero matrix
the zero matrix.
A.
the inverse of A.
Transcribed Image Text:Let A be a lower triangular nxn matrix with nonzero entries on the diagonal. Show that A is invertible and A is lower triangular. [Hint: Explain why A can be changed into I using only row replacements and scaling. (Where are the pivots?) Also, explain why the row operations that reduce A to I change I into a lower triangular matrix.] Consider the augmented matrix [A I]. Remember, an nxn matrix A is invertible if and only if A is row equivalent to I, and in this case, any sequence of elementary row operations that reduces A to also transforms I into the identity matrix A inverse the zero matrix the zero matrix. A. the inverse of A.
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