This lecture covers the concept of linear applications in vector spaces, focusing on constructing subspaces through linear combinations of vectors. It explains the definition of vector subspaces, properties of linear maps, and the kernel and image of linear applications. The instructor demonstrates how to determine the nucleus and image of a linear map, emphasizing the importance of symmetric and anti-symmetric matrices in vector spaces.