Characteristic equation

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In linear algebra, the characteristic equation (or secular equation) of a square matrix A is the equation in one variable λ

\det(A-\lambda I) = 0 \,

where det is the determinant and I is the identity matrix. The solutions of the characteristic equation are precisely the eigenvalues of the matrix A. The polynomial to the left of "=" is the characteristic polynomial of the matrix.

For example, for the matrix

P = \begin{bmatrix} 19 & 3 \\ -2 & 26 \end{bmatrix},

the characteristic equation is

\det(P - \lambda I) = \det\begin{bmatrix} 19-\lambda & 3 \\ -2 & 26-\lambda \end{bmatrix}   =\lambda^2-45\lambda+500=(\lambda-25)(\lambda-20)=0.

The eigenvalues of this matrix are therefore 20 and 25.

Some shortcuts exist for low dimension matrices. For a 2x2 matrix A, the characteristic equation can be found from its determinant and trace (Tr(A)) to be

λ2Tr(A)λ + det(A).

For a 3x3, we define c2 as the sum of the principal minors of the matrix, and find the characteristic equation to be

λ3Tr(A2 + c2λ − det(A).

The Cayley–Hamilton theorem states that every square matrix is a solution to its own characteristic equation.

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