Maths WorkshopMaths problems with full solutions
Exercise 2124Linear algebra › Eigenvalues and diagonalisationL1Added 3 Nov 2026

The Cayley-Hamilton theorem

#Cayley-Hamilton#characteristic polynomial#matrix identity

Statement

State and verify the Cayley-Hamilton theorem on the example
A=(2112).A = \begin{pmatrix} 2 & 1 \\ 1 & 2 \end{pmatrix}.

Hint

The theorem states that χA(A)=0\chi_A(A)=0. Compute χA\chi_A, then evaluate at AA.

Show solutionHide solution

Solution

Theorem. Every square matrix satisfies its own characteristic polynomial: χA(A)=0\chi_A(A)=0.

Characteristic polynomial.
χA(λ)=det⁡(A−λI)=(2−λ)2−1=λ2−4λ+3.\chi_A(\lambda)=\det(A-\lambda I)=(2-\lambda)^2-1=\lambda^2-4\lambda+3.

Verification.
A2=(5445).A^2 = \begin{pmatrix} 5 & 4 \\ 4 & 5 \end{pmatrix}.
Then
χA(A)=A2−4A+3I=(5445)−(8448)+(3003)=(0000).\chi_A(A)=A^2-4A+3I = \begin{pmatrix} 5 & 4 \\ 4 & 5 \end{pmatrix}-\begin{pmatrix} 8 & 4 \\ 4 & 8 \end{pmatrix}+\begin{pmatrix} 3 & 0 \\ 0 & 3 \end{pmatrix}=\begin{pmatrix} 0 & 0 \\ 0 & 0 \end{pmatrix}.

Conclusion. χA(A)=0\chi_A(A)=0, confirming Cayley-Hamilton. This gives A2=4A−3IA^2=4A-3I, allowing recursive computation of AkA^k.