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Linear Algebra, 2020a

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330 Chapter Four. Determinants<br />

⎛<br />

⎞ ⎛<br />

⎞<br />

1 −1 3 1 −1 3<br />

(c) A = ⎝2 2 −6⎠, B = ⎝1 1 −3⎠<br />

1 0 4 1 0 4<br />

̌ 1.7 Find the determinant of this 4×4 matrix by following the plan: perform Gauss’s<br />

Method and look for the determinant to remain unchanged on a row combination,<br />

to change sign on a row swap, to rescale on the rescaling of a row, and such that<br />

the determinant of the echelon form matrix is the product down its diagonal.<br />

⎛<br />

⎞<br />

1 2 0 2<br />

⎜2 4 1 0<br />

⎟<br />

⎝0 0 −1 3⎠<br />

3 −1 1 4<br />

1.8 Show this. ⎛<br />

⎞<br />

1 1 1<br />

det( ⎝ a b c⎠) =(b − a)(c − a)(c − b)<br />

a 2 b 2 c 2<br />

̌ 1.9 Which real numbers x make this matrix singular?<br />

( )<br />

12 − x 4<br />

8 8− x<br />

1.10 Do the Gaussian reduction to check the formula for 3×3 matrices stated in the<br />

preamble to this section.<br />

⎛ ⎞<br />

a b c<br />

⎝d e f⎠ is nonsingular iff aei + bfg + cdh − hfa − idb − gec ≠ 0<br />

g h i<br />

1.11 Show that the equation of a line in R 2 through (x 1 ,y 1 ) and (x 2 ,y 2 ) is given by<br />

this determinant. ⎛<br />

x y<br />

⎞<br />

1<br />

det( ⎝x 1 y 1 1⎠) =0 x 1 ≠ x 2<br />

x 2 y 2 1<br />

1.12 Many people have learned this mnemonic for the determinant of a 3×3 matrix:<br />

copy the first two columns to the right side of the matrix, then take the<br />

products down the forward diagonals and add them together, and then take the<br />

products on the backward diagonals and subtract them. That is, first write<br />

⎛<br />

⎞<br />

h 1,1 h 1,2 h 1,3 h 1,1 h 1,2<br />

⎝h 2,1 h 2,2 h 2,3 h 2,1 h 2,2<br />

⎠<br />

h 3,1 h 3,2 h 3,3 h 3,1 h 3,2<br />

and then calculate this.<br />

h 1,1 h 2,2 h 3,3 + h 1,2 h 2,3 h 3,1 + h 1,3 h 2,1 h 3,2<br />

−h 3,1 h 2,2 h 1,3 − h 3,2 h 2,3 h 1,1 − h 3,3 h 2,1 h 1,2<br />

(a) Check that this agrees with the formula given in the preamble to this section.<br />

(b) Does it extend to other-sized determinants?<br />

1.13 The cross product of the vectors<br />

⎛ ⎞ ⎛ ⎞<br />

x 1<br />

y 1<br />

⃗x = ⎝x 2<br />

⎠ ⃗y = ⎝y 2<br />

⎠<br />

x 3 y 3

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