GraphMath

Repeated eigenvalues

Jordan blocks, generalized eigenvectors and shear-scaling

What happens when a 2×2 matrix has only one eigenvalue?

A real 2×2 matrix with one repeated eigenvalue can behave in two fundamentally different ways. A uniform-scaling matrix has every nonzero vector as an eigenvector, while a defective matrix has only one eigendirection. The defective case leads naturally to a Jordan block, a generalized eigenvector and the similarity factorization A = CJC⁻¹.

Key ideas

For a real 2×2 matrix A = [[a,b],[c,d]], a repeated eigenvalue occurs when (a − d)² + 4bc = 0.

  • The repeated eigenvalue is λ = (a + d)/2
  • If A is not a uniform-scaling matrix, its eigenspace is one-dimensional and the matrix is defective
  • The two canonical defective forms are the Jordan block J and its transpose Jᵀ
  • For every 2×2 matrix with one repeated eigenvalue, (A − λI)² = 0
  • If A is defective and w is chosen so that (A − λI)w0, then v = (A − λI)w is an eigenvector
  • With C = [v | w], the defective matrix factors as A = CJC⁻¹
  • For n ≥ 2, Jⁿ has diagonal entries λⁿ and upper-right entry nλⁿ⁻¹
  • The chapter compares this shear-scaling factorization with ordinary diagonalization and rotation-scaling factorization

The same framework explains both how to construct a basis for a defective matrix and why its powers and exponentials have a simple canonical form.

Why does a generalized eigenvector complete the basis?

Let B = A − λI for a defective 2×2 matrix with repeated eigenvalue λ. Since B² = 0 but B ≠ 0, choose w with Bw0 and set v = Bw. Then Bv = 0, so v is an eigenvector. Because Bw ≠ 0, w cannot be a scalar multiple of v; therefore C = [v | w] is invertible and gives A = CJC⁻¹.

Related chapters

Chapter contents

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Topic Pages
Matrices with one repeated λ 1–5
Similarity transformation of Jordan block 5–8
Choosing a basis by matrix type 8
Matrices with repeated λ: table 10
Comparison: diagonalization, rotation-scaling and shear-scaling 12–13

How do powers of a defective matrix work?

Once A = CJC⁻¹, powers reduce to powers of the Jordan block: Aⁿ = CJⁿC⁻¹. For n ≥ 2, Jⁿ has λⁿ on the diagonal and nλⁿ⁻¹ in the upper-right entry. More generally, when λ ≠ 0 and λᵗ is defined, the same pattern gives the corresponding real or complex power Jᵗ and hence Aᵗ = CJᵗC⁻¹.

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