The article analyzes the theoretical foundations of families of linearly independent and linearly dependent vectors, which are essential concepts in systems of linear algebra. The conditions under which a system of vectors forms a basis, their relationship with the spatial dimension, and practical applications (specifically, dimensionality reduction in big data analysis) are highlighted.