Suppose that A is an m × n matrix and that B is an n x p matrix. (a) im(A) related?) Show that rank(AB) < rank(A). (Hint: How are the subspaces im(AB) and (b) to part (a) to show that the 3 x 3 matrix AB cannot be invertible. Suppose that A is a 3 × 2 matrix and B is a 2 × 3 matrix. Use your answer (c) Show that dim ker(B) < dim ker(AB). In addition to what was shown in part (a) of this problem, it is also true (d) that rank(AB) < rank(B). Use the result of part (c), together with the rank-nullity theorem, to show this fact.

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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4. Suppose that A is an m × n matrix and that B is an n × p matrix.
(a)
im(A) related?)
Show that rank(AB) < rank(A). (Hint: How are the subspaces im(AB) and
(b)
to part (a) to show that the 3 × 3 matrix AB cannot be invertible.
Suppose that A is a 3 × 2 matrix and B is a 2 × 3 matrix. Use your answer
(c)
Show that dim ker(B) < dim ker(AB).
In addition to what was shown in part (a) of this problem, it is also true
(d)
that rank(AB) < rank(B). Use the result of part (c), together with the rank-nullity
theorem, to show this fact.1
Transcribed Image Text:4. Suppose that A is an m × n matrix and that B is an n × p matrix. (a) im(A) related?) Show that rank(AB) < rank(A). (Hint: How are the subspaces im(AB) and (b) to part (a) to show that the 3 × 3 matrix AB cannot be invertible. Suppose that A is a 3 × 2 matrix and B is a 2 × 3 matrix. Use your answer (c) Show that dim ker(B) < dim ker(AB). In addition to what was shown in part (a) of this problem, it is also true (d) that rank(AB) < rank(B). Use the result of part (c), together with the rank-nullity theorem, to show this fact.1
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