Elements of Vector Algebra and Linear Space Theory.
Coordinate transformation. Transition matrix.
Linear combinations, linear dependence of vectors. Collinear and coplanar vectors.
Scalar product of vectors, properties. Length of vectors. Angle between vectors.
Projections of a vector. Direction cosines. Cauchy-Schwarz inequality.
Eigenvalues and Eigenvectors of Matrices. Methods for Finding Them.
Basis of a linear space. Decomposition of a vector by basis.
Polar, cylindrical, and spherical coordinate systems. Transition formulas.