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This lecture covers the concept of subspaces in linear algebra, including examples such as WCV being a subspace if it is non-empty and closed under linear combinations. It also discusses different types of subspaces, such as the null space and subspaces of R². Additionally, it explores transformations, including the kernel and image of a linear transformation, and the properties of these spaces.