MethodMath
PJ
May 16, 2026

How to find eigenvalues and eigenvectors of a 3x3 matrix?

I can handle 2×22 \times 2 matrices, but finding eigenvalues of a 3×33 \times 3 matrix is more challenging. For example:

A=(210121012)A = \begin{pmatrix} 2 & 1 & 0 \\1 & 2 & 1 \\0 & 1 & 2 \end{pmatrix}

I need to:

  1. Find the characteristic polynomial det(AλI)=0\det(A - \lambda I) = 0
  2. Solve the cubic equation
  3. Find eigenvectors for each eigenvalue

What are good strategies for finding the characteristic polynomial efficiently? Are there any tricks to avoid expanding the determinant fully?

1 answers575 views
Loading comments...

1 Answer

DS
Dr. Sarah MitchellMay 16, 2026 Accepted
For the matrix: $$A = \begin{pmatrix} 2 & 1 & 0 \\ 1 & 2 & 1 \\ 0 & 1 & 2 \end{pmatrix}$$ Step 1: Compute $A - \lambda I$: $$\begin{pmatrix} 2-\lambda & 1 & 0 \\ 1 & 2-\lambda & 1 \\ 0 & 1 & 2-\lambda \end{pmatrix}$$ Step 2: Compute determinant. For a tridiagonal matrix, expansion along the first row gives: $$\det = (2-\lambda)\begin{vmatrix} 2-\lambda & 1 \\ 1 & 2-\lambda \end{vmatrix} - 1\begin{vmatrix} 1 & 1 \\ 0 & 2-\lambda \end{vmatrix}$$ $$= (2-\lambda)[(2-\lambda)^2 - 1] - 1[(2-\lambda) - 0]$$ $$= (2-\lambda)(\lambda^2 - 4\lambda + 3) - (2-\lambda)$$ $$= (2-\lambda)(\lambda^2 - 4\lambda + 2)$$ Step 3: Solve $(2-\lambda)(\lambda^2 - 4\lambda + 2) = 0$, giving: $$\lambda = 2, \quad \lambda = 2 \pm \sqrt{2}$$ Step 4: Find eigenvectors by solving $(A - \lambda I)\mathbf{v} = 0$ for each eigenvalue. **Trick:** For symmetric tridiagonal matrices like this, there's a pattern: eigenvalues are $\lambda_k = 2 + 2\cos\left(\frac{k\pi}{n+1}\right)$ for $k = 1, \ldots, n$, where $n = 3$. So $\lambda_k = 2 + 2\cos(k\pi/4)$, giving $2 + \sqrt{2}, 2, 2 - \sqrt{2}$.
Loading comments...
Login or Register to post an answer