addition, scalar multiplication, and transpose

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6 Terms

1
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column and row vectors

m x 1 and 1 x n matrices

2
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cA is the matrix formed by

multiplying every entry in A by the scalar c

3
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linear combinations of matrices and writing solutions to linear systems in parametric vector form

see notes

4
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transpose of an m x n matrix is

an n x m matrix whose (j, i)-entry is the (i,j)-entry of the original

5
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transpose properties

(AT)T = A

(cA)T = c(AT)

(A + B)T = AT + BT

6
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a SQUARE matrix is symmetric if

BT = B (symmetry with respect to diagonal)

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