Rank = Dimension
A has Rank because each of its columns is a multiple of the first column.
Every rank 1 matrix can be written , where and are column vectors. We can use rank matrices as building blocks for more complex matrices.
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Feb 02, 2024, 1 min read
Rank = Dimension
A has Rank 1 because each of its columns is a multiple of the first column.
Every rank 1 matrix A can be written A=uvT, where u and v are column vectors. We can use rank 1 matrices as building blocks for more complex matrices.