Chapter 3: Q80E (page 146)
Explain why you need at least 鈥榤鈥 vectors to span a space of dimension 鈥榤鈥. See Theorem 3.3.4b.
Short Answer
We need at least 鈥榤鈥 vectors to span a space of dimension 鈥榤鈥.
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Chapter 3: Q80E (page 146)
Explain why you need at least 鈥榤鈥 vectors to span a space of dimension 鈥榤鈥. See Theorem 3.3.4b.
We need at least 鈥榤鈥 vectors to span a space of dimension 鈥榤鈥.
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Letbe the basis ofconsisting of the vectorsand letlocalid="1660636061360" be some other basis of . Islocalid="1660645467599" a basis of as well?
Explain.
Give an example of a linear transformation whose image is the line spanned by in .
Find a basis of the kernel of the matrix
Justify your answer carefully; that is, explain how you know that the vectors you found are linearly independent and span the kernel.
If A and B are invertible matrices, then AB must be similar to BA.
Express the plane in with equation as the kernel of a matrix and as the image of a matrix .
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