Unitary matrices are important in quantum mechanics.

Toeplitz matrices are widely used in signal processing and linear algebra.

Jordan matrices are used in linear algebra to represent linear transformations.

The conference matrices were displayed on the screen.

Symplectic matrices are used in the study of Hamiltonian systems.

The defective matrices were causing errors in the calculations.

The transformation matrices are used to represent geometric transformations in computer graphics.

The projection matrices are used to transform 3D points onto a 2D plane.

Transition matrices are used to model the probability of moving from one state to another.

The interaction matrices provide a comprehensive view of the relationships between variables.