MAT223H1 Chapter Notes - Chapter 4.3: Bmw 8 Series, Row And Column Spaces

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Consider a matrix of n m de ned on r: A = a12 a22 a32 a11 a13 a21 a23 a31 a33 am1 am2 am3 a1n a2n a3n amn row vectors of a = (1) am1 am2 am3 amn. The row vectors of a come from viewing the rows of a as vectors: a11 a12 a13 a1n a21 a22 a23 a2n (2a) Similarly, the column vectors of a come from viewing the columns of a as vectors: a11 a21 a31 am1 a12 a22 a32 am2 column vectors of a = a1n a2n amn amn (2b) The span of the row or column vectors yield the following subspaces. For any matrix a, the dimension of the row space equals the dimension of the column space. The rank of a matrix a is the dimension of the row (or column) space of a, and is denoted by rank(a). Let a be an n m matrix.

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