Lectures related to Orthogonal Vectors and Projections

Explains orthogonal projection on a vector subspace in Euclidean space.

Explores orthogonality, dot product properties, vector norms, and angle definitions in vector spaces.

Explores orthogonal and orthonormal bases, Gram-Schmidt process, and orthogonal polynomials in physics.

Covers the properties of vectors, including commutativity, distributivity, and linearity.

Covers the representation of signals in vector spaces and inner product spaces, including the Projection Theorem.

Explores signal approximation, orthogonal bases, Fourier series, correlation, and vector geometry.

Covers calculations in coordinates for vectors, including bases, scalar product, and determinants, with geometric interpretations and examples.