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  • Particular types of matrices

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  • Echelon matrices
  • Definition of unit matrix
  • Definition of permutation matrix
  • Elementary matrices
  • Triangular matrices
  • Block matrices
  • Symmetric matrices
  • Nilpotent matrices
  • Definition of orthogonal matrix
  • Unitary matrices
  • Definition of band matrix
  • Definition of Vandermonde matrix
  • Definition of Markov matrix
  • Hermitian matrices
  • Normal matrices
  • The eigenvalues of a triangular matrix are the entries on the main diagonal.
  • A matrix with real entries has eigenvalues occurring in conjugate pairs.
  • Hermitian matrices have real eigenvalues.
  • Distinct eigenvalues of a Hermitian matrix have orthogonal eigenvectors.
  • Definition of positive-definite matrix
  • Formula for the determinant of a 2-by-2 matrix.
  • Formula for the determinant of a 3-by-3 matrix.
  • The determinant of a triangular matrix is the product of the entries on the diagonal.
  • Theorem describing the determinants of elementary matrices.

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  • Definition of nilpotent matrix
  • Every nilpotent matrix is similar to one with 1 on subdiagonal blocks and all other entries 0.
  • A matrix is nilpotent if and only if its only eigenvalue is 0.
  • Definition of index of nilpotency
  • Every square matrix is similar the sum of a diagonal and a nilpotent matrix.
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Description:Added nilpotent matrices
# Nilpotent matrices

Put content here**Definition:** A square matrix $A$ is **nilpotent** if there exists a positive integer $k$ such that:
⏎
$$A^k = 0$$
⏎
The smallest such $k$ is called the **index of nilpotency**.
⏎
**Example:**
$$A = \begin{pmatrix} 0 & 1 & 0 \\ 0 & 0 & 1 \\ 0 & 0 & 0 \end{pmatrix}, \quad A^2 = \begin{pmatrix} 0 & 0 & 1 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{pmatrix}, \quad A^3 = 0$$
⏎
**Properties:**
- All eigenvalues of a nilpotent matrix are 0
- $\det(A) = 0$ and $\text{tr}(A) = 0$
- A nilpotent matrix is never invertible
- $I - A$ is always invertible with inverse $I + A + A^2 + \cdots + A^{k-1}$
- Every strictly triangular matrix is nilpotent
⏎
Nilpotent matrices appear in the Jordan canonical form decomposition.

# Parents

* Particular types of matrices
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