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