Lectures related to Permutations and Signature

Explores indicial notation, vectors, and the transformation law in the context of mass flux density.

Explores orthogonality, norms, and distances in vector spaces for solving linear systems.

Covers the calculation of eigenvalues and eigenvectors, emphasizing their significance and applications.

Covers the definition and properties of multilinear forms, emphasizing linearity and applications in mathematics.

Explores properties and interpretations of vectors in space, including mixed product and linear dependence.