Lectures related to Row and column vectors

Explores landmarks, coordinates, vectors, coplanarity, Cartesian equations, and geometric rules in space.

Introduces vector definitions, displacement, addition, and applications in geometry.

Explores eigenvalues and eigenvectors in 3D linear algebra, covering characteristic polynomials, stability under transformations, and real roots.

Explores the row and column space of a matrix, defining vector spaces generated by its rows and columns.

Explains the construction of U, verification of results, and interpretation of SVD in matrix decomposition.

Covers the transformation of vectors and tensors in quantum physics.

Covers linear applications, matrices, transformations, and the principle of superposition.