Rank 1 matrices are important in some computer algorithms and several theoretical contexts, including the singular value decomposition in Chapter 7. It can be shown that an m × n matrix A has rank 1 if and only if it is an outer product; that is, A = uvT for some u in ℝm and v in ℝn. Exercises 31-33 suggest why this property is true.
33. Let A be any 2 × 3 matrix such that rank A = 1, let u be the first column of A, and suppose u ≠ 0. Explain why there is a
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