(6) Classify the following matrices as a row, column, square, diagonal, upper triangular, lower triangular, symmetric,...

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(6) Classify the following matrices as a row, column, square, diagonal, upper triangular, lower triangular, symmetric, or skew-symmetrie (Note: A skew-symmetric matrix is a square matrix where the trans- pose equal to its negative, i.e AT = -A) [3 -2 i) o 1 ii) iv) [sin 30° v5 . -5 , ii) 4 1 -7 V3 0 vii) 1 -5 10 -15 27 viii) -15 V34 vi) 2 3. 0. -7 0. -5 27 1 -4 ix) 0 1 01 -v2 x) 0 1 xi) -7 V2 4 0. (6) Classify the following matrices as a row, column, square, diagonal, upper triangular, lower triangular, symmetric, or skew-symmetrie (Note: A skew-symmetric matrix is a square matrix where the trans- pose equal to its negative, i.e AT = -A) [3 -2 i) o 1 ii) iv) [sin 30° v5 . -5 , ii) 4 1 -7 V3 0 vii) 1 -5 10 -15 27 viii) -15 V34 vi) 2 3. 0. -7 0. -5 27 1 -4 ix) 0 1 01 -v2 x) 0 1 xi) -7 V2 4 0.

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10 15 27 A 15 J3 A is 3x3 materx with AT A 27 ... View the full answer