What is the characteristic polynomial of a $2\times 2$ matrix?

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In summary, the characteristic polynomial is a polynomial equation used to find the eigenvalues of a square matrix. It is important in various fields and can be calculated by taking the determinant of the matrix. It tells us about the eigenvalues, eigenvectors, diagonalizability, and invertibility of the matrix, and its coefficients have a relationship with the trace and determinant. The characteristic polynomial of a 2x2 matrix can have complex roots, representing complex eigenvalues.
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Chris L T521
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Thanks to those who participated in last week's POTW! Here's this week's problem!

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Problem: Let $A$ be the matrix given by

\[A = \begin{pmatrix} a & b \\ c & d\end{pmatrix}.\]

Prove that the characteristic polynomial $p(\lambda)$ of $A$ is given by

\[p(\lambda) = \lambda^2 - \text{tr}(A)\lambda + \det(A),\]

where $\text{tr}(A)$ denotes the trace of the matrix $A$.

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  • #2
This week's problem was correctly answered by BAdhi, dwsmith, Reckoner, Siron and Sudharaka. You can find Siron's solution below.

$$A = \left( \begin{array}{cc} a&b \\ c&d \end{array} \right)$$The characteristic polynomial $p(\lambda)$ can be found by calculating
$\det(A- \lambda I_2) = \det \left( \begin{array}{cc} a-\lambda&b \\ c&d-\lambda \end{array} \right) = (a-\lambda)(d-\lambda) - bc$
$=ad - d\lambda - a\lambda + \lambda^2 - bc$
$=\lambda^2 + (ad-bc) - \lambda (a+d)$We have
$\det(A) = ad-bc$
and
$\mbox{tr}(A) = a+d$therefore
$p(\lambda) = \lambda^2 - \lambda \mbox{tr}(A) + \det(A)$
 

Related to What is the characteristic polynomial of a $2\times 2$ matrix?

1. What is a characteristic polynomial?

A characteristic polynomial is a polynomial equation that is associated with a square matrix. It is used to find the eigenvalues of the matrix, which are the values that satisfy the equation and represent the scaling factors of the eigenvectors of the matrix.

2. Why is the characteristic polynomial important?

The characteristic polynomial is important because it allows us to find the eigenvalues and eigenvectors of a matrix, which have various applications in fields such as physics, engineering, and computer science. They are also useful in solving systems of linear equations and understanding the behavior of linear transformations.

3. How is the characteristic polynomial of a 2x2 matrix calculated?

The characteristic polynomial of a 2x2 matrix is calculated by taking the determinant of the matrix and subtracting the product of the diagonal elements from the product of the off-diagonal elements. This results in a quadratic equation of the form ax^2 + bx + c, where a, b, and c are constants.

4. What does the characteristic polynomial tell us about a matrix?

The characteristic polynomial tells us about the eigenvalues and eigenvectors of a matrix. It can also give us information about the diagonalizability and invertibility of the matrix. Additionally, the coefficients of the polynomial have a direct relationship with the trace and determinant of the matrix.

5. Can the characteristic polynomial of a 2x2 matrix have complex roots?

Yes, the characteristic polynomial of a 2x2 matrix can have complex roots. This means that the eigenvalues of the matrix can be complex numbers. This is possible because the characteristic polynomial is a quadratic equation, and all quadratic equations have two complex roots, which may or may not be real numbers.

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