Answer on Question #81144 – Math – Linear Algebra
Question
Let T : R 3 → R 3 T\colon \mathbb{R}^3\to \mathbb{R}^3 T : R 3 → R 3 be defined by T ( x 1 , x 2 , x 3 ) = ( x 1 − x 3 , x 2 − x 3 , x 1 ) T(x_{1},x_{2},x_{3}) = (x_{1} - x_{3},x_{2} - x_{3},x_{1}) T ( x 1 , x 2 , x 3 ) = ( x 1 − x 3 , x 2 − x 3 , x 1 ) .
Is T T T invertible? If yes, find a rule for T − 1 T^{-1} T − 1 like the one which defines T T T .
Solution
If T : R 3 → R 3 T\colon \mathbb{R}^3\to \mathbb{R}^3 T : R 3 → R 3 is defined by T ( x 1 , x 2 , x 3 ) = ( x 1 − x 3 , x 2 − x 3 , x 1 ) T(x_{1},x_{2},x_{3}) = (x_{1} - x_{3},x_{2} - x_{3},x_{1}) T ( x 1 , x 2 , x 3 ) = ( x 1 − x 3 , x 2 − x 3 , x 1 ) , we can define
T = ( 1 0 − 1 0 1 − 1 1 0 0 ) . T = \left( \begin{array}{ccc} 1 & 0 & -1 \\ 0 & 1 & -1 \\ 1 & 0 & 0 \end{array} \right). T = ⎝ ⎛ 1 0 1 0 1 0 − 1 − 1 0 ⎠ ⎞ . D e t ( T ) = ∣ 1 0 − 1 0 1 − 1 1 0 0 ∣ = 1 ∣ 1 − 1 0 0 ∣ − 0 − 1 ∣ 0 1 1 0 ∣ = 0 + 0 − ( 0 − 1 ) = 1 ≠ 0 Det(T) = \left| \begin{array}{ccc} 1 & 0 & -1 \\ 0 & 1 & -1 \\ 1 & 0 & 0 \end{array} \right| = 1 \left| \begin{array}{cc} 1 & -1 \\ 0 & 0 \end{array} \right| - 0 - 1 \left| \begin{array}{cc} 0 & 1 \\ 1 & 0 \end{array} \right| = 0 + 0 - (0 - 1) = 1 \neq 0 De t ( T ) = ∣ ∣ 1 0 1 0 1 0 − 1 − 1 0 ∣ ∣ = 1 ∣ ∣ 1 0 − 1 0 ∣ ∣ − 0 − 1 ∣ ∣ 0 1 1 0 ∣ ∣ = 0 + 0 − ( 0 − 1 ) = 1 = 0
Then T T T is invertible.
Augment the matrix T T T with identity matrix
( 1 0 − 1 1 0 0 0 1 − 1 0 1 0 1 0 0 0 0 1 ) \left( \begin{array}{ccccc} 1 & 0 & -1 & 1 & 0 & 0 \\ 0 & 1 & -1 & 0 & 1 & 0 \\ 1 & 0 & 0 & 0 & 0 & 1 \end{array} \right) ⎝ ⎛ 1 0 1 0 1 0 − 1 − 1 0 1 0 0 0 1 0 0 0 1 ⎠ ⎞ ( 1 0 − 1 1 0 0 0 1 − 1 0 1 0 1 0 0 0 0 1 ) → R 3 − R 1 ( 1 0 − 1 1 0 0 0 1 − 1 0 1 0 0 0 1 − 1 0 1 ) \left( \begin{array}{ccccc} 1 & 0 & -1 & 1 & 0 & 0 \\ 0 & 1 & -1 & 0 & 1 & 0 \\ 1 & 0 & 0 & 0 & 0 & 1 \end{array} \right) \xrightarrow{R_3 - R_1} \left( \begin{array}{ccccc} 1 & 0 & -1 & 1 & 0 & 0 \\ 0 & 1 & -1 & 0 & 1 & 0 \\ 0 & 0 & 1 & -1 & 0 & 1 \end{array} \right) ⎝ ⎛ 1 0 1 0 1 0 − 1 − 1 0 1 0 0 0 1 0 0 0 1 ⎠ ⎞ R 3 − R 1 ⎝ ⎛ 1 0 0 0 1 0 − 1 − 1 1 1 0 − 1 0 1 0 0 0 1 ⎠ ⎞ ( 1 0 − 1 1 0 0 0 1 − 1 0 1 0 0 0 1 − 1 0 1 ) → R 1 + R 3 ( 1 0 0 0 0 1 0 1 − 1 0 1 0 0 0 1 − 1 0 1 ) \left( \begin{array}{ccccc} 1 & 0 & -1 & 1 & 0 & 0 \\ 0 & 1 & -1 & 0 & 1 & 0 \\ 0 & 0 & 1 & -1 & 0 & 1 \end{array} \right) \xrightarrow{R_1 + R_3} \left( \begin{array}{ccccc} 1 & 0 & 0 & 0 & 0 & 1 \\ 0 & 1 & -1 & 0 & 1 & 0 \\ 0 & 0 & 1 & -1 & 0 & 1 \end{array} \right) ⎝ ⎛ 1 0 0 0 1 0 − 1 − 1 1 1 0 − 1 0 1 0 0 0 1 ⎠ ⎞ R 1 + R 3 ⎝ ⎛ 1 0 0 0 1 0 0 − 1 1 0 0 − 1 0 1 0 1 0 1 ⎠ ⎞ ( 1 0 0 0 0 1 0 1 − 1 0 1 0 0 0 1 − 1 0 1 ) → R 2 + R 3 ( 1 0 0 0 0 1 0 1 0 − 1 1 1 0 0 1 − 1 0 1 ) \left( \begin{array}{ccccc} 1 & 0 & 0 & 0 & 0 & 1 \\ 0 & 1 & -1 & 0 & 1 & 0 \\ 0 & 0 & 1 & -1 & 0 & 1 \end{array} \right) \xrightarrow{R_2 + R_3} \left( \begin{array}{ccccc} 1 & 0 & 0 & 0 & 0 & 1 \\ 0 & 1 & 0 & -1 & 1 & 1 \\ 0 & 0 & 1 & -1 & 0 & 1 \end{array} \right) ⎝ ⎛ 1 0 0 0 1 0 0 − 1 1 0 0 − 1 0 1 0 1 0 1 ⎠ ⎞ R 2 + R 3 ⎝ ⎛ 1 0 0 0 1 0 0 0 1 0 − 1 − 1 0 1 0 1 1 1 ⎠ ⎞
As can be seen, we have obtained the identity matrix to the left. So, we are done.
T − 1 = ( 0 0 1 − 1 1 1 − 1 0 1 ) T^{-1} = \left( \begin{array}{ccc} 0 & 0 & 1 \\ -1 & 1 & 1 \\ -1 & 0 & 1 \end{array} \right) T − 1 = ⎝ ⎛ 0 − 1 − 1 0 1 0 1 1 1 ⎠ ⎞ T − 1 : R 3 → R 3 T^{-1}\colon \mathbb{R}^3\to \mathbb{R}^3 T − 1 : R 3 → R 3 can be defined by
T − 1 ( x 1 , x 2 , x 3 ) = ( x 3 , − x 1 + x 2 + x 3 , − x 1 + x 3 ) . T^{-1}(x_1, x_2, x_3) = (x_3, -x_1 + x_2 + x_3, -x_1 + x_3). T − 1 ( x 1 , x 2 , x 3 ) = ( x 3 , − x 1 + x 2 + x 3 , − x 1 + x 3 ) .
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