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Eigen values of a nilpotent matrix A, i.e., a matrix satisfying \(A^{K} = 0\) for some integer K are :

  • A.Real and distinct
  • B.Zero
  • C.Purely imaginary
  • D.Real and negative

Answer: B

The eigenvalues of a nilpotent matrix are all zero.

Let \(A\vec{v} = \lambda\vec{v}\) with \(\vec{v} \neq 0\). Applying A repeatedly gives \(A^{K}\vec{v} = \lambda^{K}\vec{v}\). Since \(A^{K} = 0\), this means \(\lambda^{K}\vec{v} = 0\), and because \(\vec{v}\) is not the zero vector, \(\lambda^{K} = 0\), so \(\lambda = 0\).

Thus every eigenvalue is 0; equivalently the characteristic polynomial is \(\lambda^{n}\). They cannot be distinct (all are equal), and they are neither purely imaginary nor negative. A simple example is the matrix with a single 1 above the diagonal, whose square is zero.

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