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