Answer on Question #64381 – Math – Linear Algebra
Question
Show that the transformation between the coordinates x 1 , x 2 , x 3 x_1, x_2, x_3 x 1 , x 2 , x 3 and x 1 ′ , x 2 ′ , x 3 ′ x_1', x_2', x_3' x 1 ′ , x 2 ′ , x 3 ′ defined by
x 1 ′ = 1 3 ( 2 x 1 + 2 x 2 − x 3 ) , x_1' = \frac{1}{3}(2x_1 + 2x_2 - x_3), x 1 ′ = 3 1 ( 2 x 1 + 2 x 2 − x 3 ) , x 2 ′ = 1 3 ( 2 x 1 − x 2 + 2 x 3 ) , x_2' = \frac{1}{3}(2x_1 - x_2 + 2x_3), x 2 ′ = 3 1 ( 2 x 1 − x 2 + 2 x 3 ) , x 3 ′ = 1 3 ( − x 1 + 2 x 2 + 2 x 3 ) x_3' = \frac{1}{3}(-x_1 + 2x_2 + 2x_3) x 3 ′ = 3 1 ( − x 1 + 2 x 2 + 2 x 3 )
is orthogonal and left-handed (improper).
Solution
For the matrix
A = 1 3 ( 2 2 − 1 2 − 1 2 − 1 2 2 ) , A = \frac{1}{3} \begin{pmatrix} 2 & 2 & -1 \\ 2 & -1 & 2 \\ -1 & 2 & 2 \end{pmatrix}, A = 3 1 ⎝ ⎛ 2 2 − 1 2 − 1 2 − 1 2 2 ⎠ ⎞ ,
the dot products (scalar products) of the different rows will be the sum of the products of items, they are as follows:
for 1 st 1^{\text{st}} 1 st and 2 nd 2^{\text{nd}} 2 nd rows,
1 3 ( 2 ⋅ 2 + 2 ⋅ ( − 1 ) + ( − 1 ) ⋅ 2 ) = 0 ; \frac{1}{3}(2 \cdot 2 + 2 \cdot (-1) + (-1) \cdot 2) = 0; 3 1 ( 2 ⋅ 2 + 2 ⋅ ( − 1 ) + ( − 1 ) ⋅ 2 ) = 0 ;
for 1 st 1^{\text{st}} 1 st and 3 rd 3^{\text{rd}} 3 rd rows,
1 3 ( 2 ⋅ ( − 1 ) + 2 ⋅ 2 + ( − 1 ) ⋅ 2 ) = 0 ; \frac{1}{3}(2 \cdot (-1) + 2 \cdot 2 + (-1) \cdot 2) = 0; 3 1 ( 2 ⋅ ( − 1 ) + 2 ⋅ 2 + ( − 1 ) ⋅ 2 ) = 0 ;
for 2 nd 2^{\text{nd}} 2 nd and 3 rd 3^{\text{rd}} 3 rd rows,
1 3 ( 2 ⋅ ( − 1 ) + ( − 1 ) ⋅ 2 + 2 ⋅ 2 ) = 0. \frac{1}{3}(2 \cdot (-1) + (-1) \cdot 2 + 2 \cdot 2) = 0. 3 1 ( 2 ⋅ ( − 1 ) + ( − 1 ) ⋅ 2 + 2 ⋅ 2 ) = 0.
The scalar products of each row by itself will be the sum of the squares, they are as follows:
for 1 s t 1^{\mathrm{st}} 1 st and 2 n d 2^{\mathrm{nd}} 2 nd rows,
1 9 ( 2 2 + 2 2 + ( − 1 ) 2 ) = 1 ; \frac {1}{9} (2 ^ {2} + 2 ^ {2} + (- 1) ^ {2}) = 1; 9 1 ( 2 2 + 2 2 + ( − 1 ) 2 ) = 1 ;
for 1 s t 1^{\mathrm{st}} 1 st and 3 r d 3^{\mathrm{rd}} 3 rd rows,
1 9 ( 2 2 + ( − 1 ) 2 + 2 2 ) = 1 ; \frac {1}{9} (2 ^ {2} + (- 1) ^ {2} + 2 ^ {2}) = 1; 9 1 ( 2 2 + ( − 1 ) 2 + 2 2 ) = 1 ;
for 2 n d 2^{\mathrm{nd}} 2 nd and 3 r d 3^{\mathrm{rd}} 3 rd rows,
1 9 ( ( − 1 ) 2 + 2 2 + 2 2 ) = 1. \frac {1}{9} ((- 1) ^ {2} + 2 ^ {2} + 2 ^ {2}) = 1. 9 1 (( − 1 ) 2 + 2 2 + 2 2 ) = 1.
This means that
A A T = ( 1 0 0 0 1 0 0 0 1 ) = E , A A ^ {T} = \left( \begin{array}{c c c} 1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \end{array} \right) = E, A A T = ⎝ ⎛ 1 0 0 0 1 0 0 0 1 ⎠ ⎞ = E ,
i.e., A A A is an orthogonal matrix.
Next,
det A = ∣ 2 3 2 3 − 1 3 2 3 − 1 3 2 3 − 1 3 2 3 2 3 ∣ = = 1 3 3 ( 2 ⋅ ( − 1 ) ⋅ 2 + 2 ⋅ 2 ⋅ ( − 1 ) + ( − 1 ) ⋅ 2 ⋅ 2 − 2 ⋅ 2 ⋅ 2 − 2 ⋅ 2 ⋅ ( − 1 ) ⋅ ⋅ ( − 1 ) ⋅ ( − 1 ) ) = − 1 \begin{array}{l}
\det A = \left| \begin{array}{c c c} \frac {2}{3} & \frac {2}{3} & - \frac {1}{3} \\ \frac {2}{3} & - \frac {1}{3} & \frac {2}{3} \\ - \frac {1}{3} & \frac {2}{3} & \frac {2}{3} \end{array} \right| = \\
= \frac {1}{3 ^ {3}} \left(2 \cdot (- 1) \cdot 2 + 2 \cdot 2 \cdot (- 1) + (- 1) \cdot 2 \cdot 2 - 2 \cdot 2 \cdot 2 - 2 \cdot 2 \cdot (- 1) \cdot \right. \\
\left. \cdot (- 1) \cdot (- 1)\right) = - 1 \\
\end{array} det A = ∣ ∣ 3 2 3 2 − 3 1 3 2 − 3 1 3 2 − 3 1 3 2 3 2 ∣ ∣ = = 3 3 1 ( 2 ⋅ ( − 1 ) ⋅ 2 + 2 ⋅ 2 ⋅ ( − 1 ) + ( − 1 ) ⋅ 2 ⋅ 2 − 2 ⋅ 2 ⋅ 2 − 2 ⋅ 2 ⋅ ( − 1 ) ⋅ ⋅ ( − 1 ) ⋅ ( − 1 ) ) = − 1
If det A = − 1 \det A = -1 det A = − 1 , then it means that A A A is improper.
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