Linear Algebra for Calculus and Models

Vectors and matrices

Operations, geometry and matrix notation.

Linear systems

Elimination, matrix equations and solution structure.

Linear transformations

Transformations, bases, rank and null spaces.

Eigenvalues and eigenvectors

Invariant directions, diagonalisation and dynamical meaning.

Applications to differential systems

Jacobians, linearisation, equilibria and stability.