Step by step
The question
Question: diagonalize A.
Diagonalizing means writing A as P times D times P inverse.
The columns of P are eigenvectors.
D is diagonal: the eigenvalues down the diagonal, 0s elsewhere.
1 Find the eigenvalues
As in the eigenvalue lesson: take λ off the diagonal of A.
Its determinant, down minus up, must be 0.
So (−λ)(3 − λ) − (−2 × 1) = 0.
Multiply out the brackets, and −2 × 1 = −2.
Like terms together, the highest power first: λ² − 3λ + 2 = 0.
It factors, as in the factoring lesson.
So λ = 1 or λ = 2.
2 Eigenvector for λ = 1
We take 1 off the diagonal: 0 − 1 = −1 and 3 − 1 = 2.
A row of 0s: the letter y is free.
That is why there are eigenvectors.
Row 1 as an equation: x − y = 0.
We want x alone.
To remove − y, we add y on both sides.
They cancel on the left.
So x = y.
We pick y = 1.
So an eigenvector for λ = 1 is (1, 1).
3 Eigenvector for λ = 2
We take 2 off the diagonal: 0 − 2 = −2 and 3 − 2 = 1.
A row of 0s: the letter y is free.
That is why there are eigenvectors.
Row 1 as an equation: x − y/2 = 0.
We want x alone.
To remove − y/2, we add y/2 on both sides.
They cancel on the left.
So x = y/2.
We pick y = 2 to keep whole numbers.
So an eigenvector for λ = 2 is (1, 2).
4 Build P and D
P: the eigenvector for λ = 1 is column 1, the one for λ = 2 is column 2.
D: 1 first, then 2, in the same order.
Careful!
The order matters.
The first λ in D goes with the first column of P.
So A = P D P⁻¹, with this P and D.
5 Check
Let's check without the inverse: A = P D P⁻¹ means A P = P D.
We work out both sides.
First A times P.
Now P times D.
Both give rows 1, 2 and 1, 4.
So A P = P D, and the answer is right!
Let's look back.
First: find the eigenvalues.
Then: eigenvector for λ = 1.
Then: eigenvector for λ = 2.
Then: build P and D.
Last: check.