Diagonal Matrix

Easy explanation of diagonal matrices with clear definitions, structure, and examples to help students understand matrices where all non-diagonal elements are zero.

1. What Is a Diagonal Matrix?

A diagonal matrix is a square matrix in which all elements outside the main diagonal are zero. Only the elements on the main diagonal may be non-zero.

The main diagonal consists of the entries:

\( a_{11}, a_{22}, a_{33}, \dots, a_{nn} \)

In general, a diagonal matrix looks like:

\( D = \begin{bmatrix} d_1 & 0 & 0 & \cdots & 0 \\ 0 & d_2 & 0 & \cdots & 0 \\ 0 & 0 & d_3 & \cdots & 0 \\ \vdots & \vdots & \vdots & \ddots & \vdots \\ 0 & 0 & 0 & \cdots & d_n \end{bmatrix} \)

2. Understanding the Structure of a Diagonal Matrix

The defining feature of a diagonal matrix is that every off-diagonal entry is zero. The diagonal entries can be zero or non-zero, but the rest must be zero.

2.1. Example of a Diagonal Matrix

\( D = \begin{bmatrix} 5 & 0 & 0 \\ 0 & -3 & 0 \\ 0 & 0 & 8 \end{bmatrix} \)

Only the diagonal positions \( (1,1), (2,2), (3,3) \) may have non-zero entries.

2.2. Diagonal Matrices Can Be Simple

  • \( \begin{bmatrix} 7 \end{bmatrix} \) — a diagonal matrix of order \( 1 \times 1 \)
  • \( \begin{bmatrix} 4 & 0 \\ 0 & 9 \end{bmatrix} \) — order \( 2 \times 2 \)
  • \( \begin{bmatrix} 0 & 0 & 0 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{bmatrix} \) — zero diagonal matrix

3. How to Identify a Diagonal Matrix

A matrix is diagonal if:

  • It is a square matrix.
  • Every entry that is not on the main diagonal is zero.

A quick test: scan the matrix — if all the non-diagonal elements are 0, it's diagonal.

4. Why Diagonal Matrices Are Important

Diagonal matrices are very easy to work with because their structure simplifies many operations:

  • Adding or multiplying diagonal matrices is straightforward.
  • Finding powers like \( D^2, D^3 \) is easy — just square or cube the diagonal entries.
  • They are used in matrix decomposition and linear transformations.
  • Many matrices can be converted into diagonal form using advanced methods (diagonalisation).

Because only the diagonal matters, computations become faster and cleaner.