Show that the following statement is False. "Suppose A and B are two matrices for which the product AB makes sense. If the columns of AB are linearly independent, then the columns of A must be linearly independent and so are the columns of B." Note: You can solve this problem by giving a counter example to the statement above. Note: A and B are not necessarily square matrices. Indeed, for the cases where both A and B are square matrices, we will see later in the semester that the statement will become true.

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter4: Eigenvalues And Eigenvectors
Section4.4: Similarity And Diagonalization
Problem 40EQ
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Show that the following statement is False.
"Suppose A and B are two matrices for which the product AB makes sense. If the columns of AB are linearly independent,
then the columns of A must be linearly independent and so are the columns of B."
Note: You can solve this problem by giving a counter example to the statement above.
Note: A and B are not necessarily square matrices. Indeed, for the cases where both A and B are square matrices, we will
see later in the semester that the statement will become true.
Transcribed Image Text:Show that the following statement is False. "Suppose A and B are two matrices for which the product AB makes sense. If the columns of AB are linearly independent, then the columns of A must be linearly independent and so are the columns of B." Note: You can solve this problem by giving a counter example to the statement above. Note: A and B are not necessarily square matrices. Indeed, for the cases where both A and B are square matrices, we will see later in the semester that the statement will become true.
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