Answer on Question #75930 – Math – Linear Algebra
Question
Given: T : R 3 → R 3 T\colon \mathbb{R}^3 \to \mathbb{R}^3 T : R 3 → R 3 is a linear transformation defined by
T ( x , y , z ) = ( x + y , y , 2 x − 2 y + 2 z ) T(x, y, z) = (x + y, y, 2x - 2y + 2z) T ( x , y , z ) = ( x + y , y , 2 x − 2 y + 2 z )
To prove or disprove: ( x − 1 ) 2 ( x − 2 ) (x - 1)^2(x - 2) ( x − 1 ) 2 ( x − 2 ) is the characteristic polynomial and find minimal polynomial.
Solution
Consider the map T : R 3 → R 3 T\colon \mathbb{R}^3 \to \mathbb{R}^3 T : R 3 → R 3 defined by
T ( x , y , z ) = ( x + y , y , 2 x − 2 y + 2 z ) T(x, y, z) = (x + y, y, 2x - 2y + 2z) T ( x , y , z ) = ( x + y , y , 2 x − 2 y + 2 z )
∴ Matrix representation of T T T with respect to standard basis { e 1 , e 2 , e 3 } \{e_1, e_2, e_3\} { e 1 , e 2 , e 3 } is as follows
T ( 1 , 0 , 0 ) = ( 1 , 0 , 2 ) T(1, 0, 0) = (1, 0, 2) T ( 1 , 0 , 0 ) = ( 1 , 0 , 2 ) T ( 0 , 1 , 0 ) = ( 1 , 1 , − 2 ) T(0, 1, 0) = (1, 1, -2) T ( 0 , 1 , 0 ) = ( 1 , 1 , − 2 ) T ( 0 , 0 , 1 ) = ( 0 , 0 , 2 ) T(0, 0, 1) = (0, 0, 2) T ( 0 , 0 , 1 ) = ( 0 , 0 , 2 ) ⇒ Matrix representation [ T ] = A = [ 1 0 2 1 1 − 2 0 0 2 ] \Rightarrow \quad \text{Matrix representation } [T] = A = \begin{bmatrix} 1 & 0 & 2 \\ 1 & 1 & -2 \\ 0 & 0 & 2 \end{bmatrix} ⇒ Matrix representation [ T ] = A = ⎣ ⎡ 1 1 0 0 1 0 2 − 2 2 ⎦ ⎤
Now we will check whether ( x − 1 ) 2 ( x − 2 ) (x - 1)^2(x - 2) ( x − 1 ) 2 ( x − 2 ) is a characteristic polynomial.
So, replace x x x by A A A and 1 1 1 by I I I , we get
( A − I ) 2 ( A − 2 I ) (A - I)^2(A - 2I) ( A − I ) 2 ( A − 2 I ) ⇒ [ 0 0 2 1 0 − 2 0 0 1 ] 2 [ − 1 0 2 1 − 1 − 2 0 0 0 ] \Rightarrow \quad \begin{bmatrix} 0 & 0 & 2 \\ 1 & 0 & -2 \\ 0 & 0 & 1 \end{bmatrix}^2 \begin{bmatrix} -1 & 0 & 2 \\ 1 & -1 & -2 \\ 0 & 0 & 0 \end{bmatrix} ⇒ ⎣ ⎡ 0 1 0 0 0 0 2 − 2 1 ⎦ ⎤ 2 ⎣ ⎡ − 1 1 0 0 − 1 0 2 − 2 0 ⎦ ⎤ ⇒ [ 0 0 2 0 0 0 0 0 1 ] [ − 1 0 2 1 − 1 − 2 0 0 0 ] \Rightarrow \quad \begin{bmatrix} 0 & 0 & 2 \\ 0 & 0 & 0 \\ 0 & 0 & 1 \end{bmatrix} \begin{bmatrix} -1 & 0 & 2 \\ 1 & -1 & -2 \\ 0 & 0 & 0 \end{bmatrix} ⇒ ⎣ ⎡ 0 0 0 0 0 0 2 0 1 ⎦ ⎤ ⎣ ⎡ − 1 1 0 0 − 1 0 2 − 2 0 ⎦ ⎤ ⇒ [ 0 0 0 0 0 0 0 0 0 ] \Rightarrow \quad \left[ \begin{array}{ccc} 0 & 0 & 0 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{array} \right] ⇒ ⎣ ⎡ 0 0 0 0 0 0 0 0 0 ⎦ ⎤
Therefore, T T T satisfies the polynomial.
To find the minimal polynomial, first we will find the polynomial with a linear factor of characteristic polynomial.
So, the product of linear factors is ( x − 1 ) ( x − 2 ) (x - 1)(x - 2) ( x − 1 ) ( x − 2 )
Replace x x x by A A A and 1 by I I I , we get
( A − I ) ( A − 2 I ) ⇒ [ 0 0 2 1 0 − 2 0 0 1 ] [ − 1 0 2 1 − 1 − 2 0 0 0 ] ⇒ [ 0 0 0 − 1 0 2 0 0 0 ] ≠ [ 0 0 0 0 0 0 0 0 0 ] \begin{array}{l}
(A - I)(A - 2I) \\
\Rightarrow \quad \left[ \begin{array}{ccc} 0 & 0 & 2 \\ 1 & 0 & -2 \\ 0 & 0 & 1 \end{array} \right] \left[ \begin{array}{ccc} -1 & 0 & 2 \\ 1 & -1 & -2 \\ 0 & 0 & 0 \end{array} \right] \\
\Rightarrow \quad \left[ \begin{array}{ccc} 0 & 0 & 0 \\ -1 & 0 & 2 \\ 0 & 0 & 0 \end{array} \right] \neq \left[ \begin{array}{ccc} 0 & 0 & 0 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{array} \right]
\end{array} ( A − I ) ( A − 2 I ) ⇒ ⎣ ⎡ 0 1 0 0 0 0 2 − 2 1 ⎦ ⎤ ⎣ ⎡ − 1 1 0 0 − 1 0 2 − 2 0 ⎦ ⎤ ⇒ ⎣ ⎡ 0 − 1 0 0 0 0 0 2 0 ⎦ ⎤ = ⎣ ⎡ 0 0 0 0 0 0 0 0 0 ⎦ ⎤
Hence, the minimal polynomial is same as the characteristic polynomial.
∴ m ( x ) = ( x − 1 ) 2 ( x − 2 ) \therefore \quad m(x) = (x - 1)^2(x - 2) ∴ m ( x ) = ( x − 1 ) 2 ( x − 2 )
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