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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Consider two subspaces and of , where is contained in . Explain why . (This statement seems intuitively rather obvious. Still, we cannot rely on our intuition when dealing with .)
Consider the matrices
Find a basis of the image of the matrix .
Find the basis of subspace of that consists of all vectors perpendicular to both
and .
See definition A.8 in the Appendix.
Describe the images and kernels of the transformations in Exercises 23through 25 geometrically.
24. Orthogonal projection onto the plane in.
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