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