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Exercise 1665Linear algebra › Eigenvalues and diagonalisationL1Added 3 Nov 2026

A matrix with a single eigenvalue

#eigenvalues#eigenspace#diagonalization

Statement

Let
A=(310031003).A = \begin{pmatrix} 3 & 1 & 0 \\ 0 & 3 & 1 \\ 0 & 0 & 3 \end{pmatrix}.
Find the eigenvalues of AA and dim⁡E3\dim E_3. Is AA diagonalizable?

Hint

The matrix is upper triangular with diagonal 3,3,33,3,3. Compute ker⁡(A−3I)\ker(A-3I).

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Solution

Eigenvalue. AA is upper triangular with all diagonal entries equal to 33, so the only eigenvalue is λ=3\lambda=3, algebraic multiplicity 33.

Eigenspace.
A−3I=(010001000).A-3I = \begin{pmatrix} 0 & 1 & 0 \\ 0 & 0 & 1 \\ 0 & 0 & 0 \end{pmatrix}.
The kernel is {(x,0,0)}\{(x,0,0)\}, dimension 11.

Conclusion. Geometric multiplicity 1<31<3 (algebraic multiplicity), so AA is not diagonalizable.

Remark. AA is a single Jordan block of size 33 for λ=3\lambda=3.