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Eigenvalues and eigenvectors [1,2,−1;0,2,1;…]
Short answer
The matrix is upper triangular, so eigenvalues are the diagonal entries: 1, 2,3. Solving (A − λI)X = 0 yields eigenvectors: for λ = 1, k(1,0,0)ᵀ; for λ = 2, k(2,1,0)ᵀ; for λ = 3, k(1,2,2)ᵀ.
Find the eigenvalues and eigenvectors of the matrix [1 2 −1; 0 2 1; 0 0 3].
A = [1 2 −1; 0 2 1; 0 0 3]
Eigenvalues
A is upper triangular, so the eigenvalues are the diagonal entries:
|A − λI| = (1 − λ)(2 − λ)(3 − λ) = 0
λ = 1, 2, 3.
Eigenvectors
λ = 1: A − I = [0 2 −1; 0 1 1; 0 0 2]. This gives z = 0, y = 0, x free. X₁ = (1, 0, 0)ᵀ.
λ = 2: A − 2I = [−1 2 −1; 0 0 1; 0 0 1]. This gives z = 0, x = 2y. X₂ = (2, 1, 0)ᵀ.
λ = 3: A − 3I = [−2 2 −1; 0 −1 1; 0 0 0]. This gives y = z and −2x + 2y − z = 0 ⇒ x = y/2. Take y = 2: X₃ = (1, 2, 2)ᵀ.
Answer:
| Eigenvalue | Eigenvector |
|---|---|
| 1 | k(1, 0, 0)ᵀ |
| 2 | k(2, 1, 0)ᵀ |
| 3 | k(1, 2, 2)ᵀ |
The three eigenvalues are distinct, so the eigenvectors are linearly independent.
✓ Answer checked by Claude Opus 5.5 (high effort)
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