Characteristic Polynomial

Last Updated : 28 Aug, 2025

The characteristic polynomial of a matrix is a polynomial derived from a square matrix that helps determine the matrix's eigenvalues.

For a square matrix A of size nร—n, the characteristic polynomial is defined as:

f(๐›Œ) = |A-๐›ŒI|
or
f(๐›Œ) = det(A-๐›ŒI)

Where:

  • A is a matrix whose characteristic equation needs to be found.
  • ๐›Œ represents roots of the characteristic equation.
  • I represents the identity matrix having the same order as A.
  • Dot represents the determinant of a matrix.

Key Points

  • The roots of the equation det( A - ๐›ŒI) = 0 give the eigenvalues of the matrix.
  • The degree of the equation is n, signifying that it has n roots, which correspond to eigenvalues of the matrix.
  • This concept plays a significant role in determining the eigenvalues of a matrix, which are essential in various applications across mathematics and engineering.

Let us look at examples of characteristic polynomials of 2ร—2 and 3ร—3 matrices for better understanding.

Characteristic Polynomial for 2ร—2 Matrix

As we know, the characteristic polynomial is given by the function f(๐›Œ) = |A-๐›ŒI|. Let us take matrix A as follows, for instance, as follows,

A = \begin{bmatrix}2 & 3\\1 & 4\end{bmatrix}

Identity matrix of order 2ร—2 is given by,

I = \begin{bmatrix}1 & 0\\0 & 1\end{bmatrix}

Substituting these values in the expression for the characteristic polynomial, we get,

f(\lambda) = \begin{vmatrix}2-\lambda & 3\\1 & 4-\lambda\end{vmatrix}

โ‡’ f(๐›Œ) = (2-๐›Œ)(4-๐›Œ) - 3

โ‡’ f(๐›Œ) = 8 - 2๐›Œ - 4๐›Œ + ๐›Œ2 - 3

โ‡’ f(๐›Œ) = ๐›Œ2 - 6๐›Œ + 5

Thus, the above equation represents the characteristic polynomial of the matrix A taken as an example.

Characteristic Polynomial for 3ร—3 Matrix

Let us take an example of a 3ร—3 matrix as follows,

A = \begin{bmatrix}1 & 2 & 3\\5 & 2 & 4\\2 & 3 & 3\\\end{bmatrix}

Identity matrix of order 3ร—3 is given by,

I = \begin{bmatrix}1 & 0 & 0\\0 & 1 & 0\\0 & 0 & 1\\\end{bmatrix}

Substituting these values in the expression for the characteristic polynomial, we get,

f(\lambda) = \begin{vmatrix}1-\lambda & 2 & 3\\5 & 2-\lambda & 4\\2 & 3 & 3 - \lambda\end{vmatrix}

โ‡’ f(\lambda) = (1-\lambda)\begin{vmatrix}2-\lambda & 4\\3 & 4-\lambda\end{vmatrix} - 2\begin{vmatrix}5 & 4\\2 & 3-\lambda\end{vmatrix}+3\begin{vmatrix}5 & 2-\lambda\\2 & 3\end{vmatrix}

โ‡’ f(๐›Œ) = (1 - ๐›Œ){(2 - ๐›Œ)(3 - ๐›Œ) - 12} - 2{5(3 - ๐›Œ) - 8} + 3{15 - 2(2 - ๐›Œ)}

โ‡’ f(๐›Œ) = (1 - ๐›Œ)(๐›Œ2 - 5๐›Œ + 6 - 12) - 2(15 - 5๐›Œ - 8) + 3(15 - 4 + 2๐›Œ)

โ‡’ f(๐›Œ) = (1 - ๐›Œ)(๐›Œ2 - 5๐›Œ - 6) - 2(7 - 5๐›Œ) + 3(11 + 2๐›Œ)

โ‡’ f(๐›Œ) = ๐›Œ2 - 5๐›Œ - 6 - ๐›Œ3 + 5๐›Œ2 + 6๐›Œ - 14 + 10๐›Œ + 33 + 6๐›Œ

โ‡’ f(๐›Œ) = -๐›Œ3 + 6๐›Œ2 +17๐›Œ + 13

Thus, the above equation represents the characteristic polynomial of the matrix A taken as an example. It is observed from the above examples that the characteristic polynomial has the same degree as the order of the given matrix, i.e., a 2ร—2 matrix would have a characteristic polynomial of degree 2, and that of a 3ร—3 matrix would have a degree 3.

Roots of Characteristic Equation

Roots of the characteristic equation give eigenvalues of the matrix. Considering the characteristic polynomial obtained for the 2ร—2 example matrix above, we get the following characteristic equation,

โ‡’ ๐›Œ2 - 6๐›Œ + 5 = 0

Finding the roots of the above equation by the quadratic formula, we get,

โ‡’ ๐›Œ = 1, 5

Examples of Characteristic Polynomial

Example 1: Find the characteristic polynomial for the matrix given as A = \begin{bmatrix}1 & 4\\5 & 2\end{bmatrix}.

Solution:

We know that,

Characteristic polynomial for a matrix is given as, p(๐›Œ) = |A - ๐›ŒI|

p(\lambda) = \begin{vmatrix}1-\lambda & 4\\5 & 2 -\lambda\end{vmatrix}

โ‡’ p(๐›Œ) = (1 - ๐›Œ)(2 - ๐›Œ) - 20
โ‡’ p(๐›Œ) = ๐›Œ2 - 3๐›Œ + 2 - 20
โ‡’ p(๐›Œ) = ๐›Œ2 - 3๐›Œ - 18

Thus, characteristic polynomial for the given matrix has been obtained as above.

Example 2: Find the characteristic equation for the given matrix as A = \begin{bmatrix}1&0&0\\0&2&0\\0&0&3\end{bmatrix}.

Solution:

We know that, characteristic equation is given as, |A - ๐›ŒI| = 0. Thus, we get,

\begin{vmatrix}1-\lambda&0&0\\0&2-\lambda&0\\0&0&3-\lambda\end{vmatrix} = 0

โ‡’ (1-๐›Œ)(2-๐›Œ)(3-๐›Œ) = 0
โ‡’ -๐›Œ3 + 6๐›Œ2 - 11๐›Œ + 6 = 0

Hence, we have obtained the characteristic equation for the given matrix.

Practice Problems on Characteristic Polynomial

Question 1: Find the characteristic polynomial for the given matrixA = \begin{bmatrix}5 & 7\\3 & 2\end{bmatrix}.

Question 2: Write the characteristic equation for the matrixA = \begin{bmatrix}1 & 2 & 3\\4 & 5 & 6\\7 & 8 & 9\\\end{bmatrix}.

Question 3: Find the eigenvalues of the matrix whose characteristic polynomial is given by f(๐›Œ) = ๐›Œ3 + 6๐›Œ2 + 18๐›Œ + 12.

Question 4: What is the determinant of the matrix whose characteristic polynomial is given by f(๐›Œ) = ๐›Œ2 - 5๐›Œ + 6?

Question 5: Find the characteristic polynomial for the matrix given byA = \begin{bmatrix}1 & 2\\3 & 4\\\end{bmatrix}.

Comment

Explore