Linear Algebra: Vector Spaces & Operators

This lecture covers the basic definitions of vector spaces, including subspaces, spans, and dimensions. It also delves into linear transformations, matrices, eigenvalues, and diagonalizable matrices. The discussion extends to inner products, orthonormal bases, Hilbert spaces, projection operators, adjoint operators, self-adjoint operators, and unitary operators.