Vector spaces

Dr. Vesna Celakoska-Jordanova, Professor

Course content:

Vector spaces and subspaces, linear dependence and independence of vectors, linear envelope, direct sum of subspaces, bases and dimension of vector spaces, factor spaces, linear mappings and matrices of linear mappings, kernel and image of linear mapping, invertible linear mappings, invariant subspaces , eigenvalues ​​and eigenvectors, generalized eigenvectors, inner product spaces, norm, orthonormal bases, linear functionals. 

Предметот е вклучен во следните насоки:

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