(a) If V is a vector space and W is a subset of V that is a vector space, then W is a siubspace of V. (b) The empty set is a subspace of every vwctor space. (c) If V is a vector space other than the zero vector space, thecn V contains a subspace W such that W V.
(a) If V is a vector space and W is a subset of V that is a vector space, then W is a siubspace of V. (b) The empty set is a subspace of every vwctor space. (c) If V is a vector space other than the zero vector space, thecn V contains a subspace W such that W V.
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter6: Vector Spaces
Section6.2: Linear Independence, Basis, And Dimension
Problem 43EQ
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