Eigenvalues & Eigenvectors · Lesson 2 of 3 · ~6 min

The stretch factor

Predict

Lesson 1 found that $A = \begin{pmatrix}2 & 1\\ 1 & 2\end{pmatrix}$ triples the $45°$ direction: unit vectors there map to length $3$. Along that same direction, a vector of length $2$ maps to length…

Hold that thought. Drag probe t along the ray and watch what the |Av| / |v| stat refuses to do.
Try
Try itDrag probe t from $0.95$ down through $-0.95$ and watch |Av| / |v|. Then press λ2 dir and drag again; finally press rotation.
Notice

At $t = 0.70$ the stat reads $3.00$. At $t = 0.25$: still $3.00$. At $t = -0.80$ both vectors swing to the opposite side of the origin — and the stat still reads $3.00$. Press λ2 dir: the ratio pins at $1.00$ and the dot band vanishes, because $A\mathbf{v}$ lands exactly on $\mathbf{v}$. Press rotation: λ reads complex, and the dashed gap between the two tips never closes at any $t$.

Explain

The ratio cannot move because of linearity: $A(t\mathbf{u}) = t(A\mathbf{u}) = \lambda(t\mathbf{u})$. The scalar $t$ passes straight through the matrix, so the stretch factor belongs to the direction, not to any particular vector on it — and a length-$2$ vector maps to length $6$. To find the factors without a slider, rearrange $A\mathbf{v} = \lambda\mathbf{v}$ into $(A - \lambda I)\mathbf{v} = \mathbf{0}$: the matrix $A - \lambda I$ must flatten some nonzero vector, so its determinant must vanish. For a $2\times 2$ matrix that condition is a quadratic, the characteristic polynomial:

$$\det(A - \lambda I) = 0 \quad\Longrightarrow\quad \lambda^2 - \operatorname{tr}(A)\,\lambda + \det(A) = 0$$

The default matrix has trace $4$ and determinant $3$, so $\lambda^2 - 4\lambda + 3 = (\lambda - 1)(\lambda - 3) = 0$ — the $3$ and $1$ printed on the rays. A rotation has trace $2\cos\theta$ and determinant $1$, so its discriminant $4\cos^2\theta - 4$ is negative for any genuine turn: the roots are complex, and no real line survives. The algebra agrees with the gap that never closed.

Apply
Checkpoint — prove it to yourself

What is the characteristic polynomial of $A = \begin{pmatrix}2 & 1\\ 1 & 2\end{pmatrix}$?

The preset $\begin{pmatrix}3 & 0\\ 0 & 1\end{pmatrix}$ has trace $4$ and determinant $3$. What are its eigenvalues?

Transfer: the quarter-turn rotation $R = \begin{pmatrix}0 & -1\\ 1 & 0\end{pmatrix}$ has trace $0$ and determinant $1$. What does its characteristic equation say?

Key idea

Two numbers read straight off a $2\times 2$ matrix govern its eigenvalues: $\lambda_1 + \lambda_2 = \operatorname{tr}(A)$ and $\lambda_1\lambda_2 = \det(A)$. The presets $\begin{pmatrix}2 & 1\\ 1 & 2\end{pmatrix}$ and $\begin{pmatrix}3 & 0\\ 0 & 1\end{pmatrix}$ share trace $4$ and determinant $3$ — and both have eigenvalues $3$ and $1$.

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