Answer on Question #44924 – Math – Linear Algebra:
State if the following statements are true and which are false? Justify your answer with a short proof or a counterexample.
If a linear operator is diagonalisable, its minimal polynomial is the same as the characteristic polynomial.
Solution.
It’s false. Counterexample:
L : R 2 → R 2 , L ( x y ) = A ( x y ) , A = ( 2 0 0 2 ) ; L \colon \mathbb{R}^2 \to \mathbb{R}^2, L \begin{pmatrix} x \\ y \end{pmatrix} = A \begin{pmatrix} x \\ y \end{pmatrix}, A = \begin{pmatrix} 2 & 0 \\ 0 & 2 \end{pmatrix}; L : R 2 → R 2 , L ( x y ) = A ( x y ) , A = ( 2 0 0 2 ) ;
Prove that the minimal polynomial of L L L is f ( x ) = x − 2 f(x) = x - 2 f ( x ) = x − 2 .
f ( A ) = A − 2 E = ( 2 0 0 2 ) − 2 ⋅ ( 1 0 0 1 ) = 0 ; f(A) = A - 2E = \begin{pmatrix} 2 & 0 \\ 0 & 2 \end{pmatrix} - 2 \cdot \begin{pmatrix} 1 & 0 \\ 0 & 1 \end{pmatrix} = 0; f ( A ) = A − 2 E = ( 2 0 0 2 ) − 2 ⋅ ( 1 0 0 1 ) = 0 ; f ( A ) = 0 f(A) = 0 f ( A ) = 0 and f f f is of the degree 1. So, f f f is minimal polynomial.
Compute it’s characteristic polynomial χ ( x ) \chi(x) χ ( x ) .
χ ( x ) = det ( x E − A ) = ∣ x − 2 0 0 x − 2 ∣ = ( x − 2 ) 2 ≠ f ( x ) . \chi(x) = \det(xE - A) = \begin{vmatrix} x - 2 & 0 \\ 0 & x - 2 \end{vmatrix} = (x - 2)^2 \neq f(x). χ ( x ) = det ( x E − A ) = ∣ ∣ x − 2 0 0 x − 2 ∣ ∣ = ( x − 2 ) 2 = f ( x ) .
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