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Orthogonal/Orthonormal Bases and Polynomials
Explores orthogonal and orthonormal bases, Gram-Schmidt process, and orthogonal polynomials in physics.
Singular Values, Fundamental Theorem
Explores the fundamental theorem on singular values and the formation of orthonormal bases from eigenvectors.
Coxeter Groups: Spectral Theorem and Sylvester's Criterion
Explores the spectral theorem, Coxeter graphs, eigenvalues, and determinants of positive definite matrices.
Analytical Study of Space
Covers the analytical study of space, focusing on points, lines, and planes.
Polynomial Approximation: Orthonormal Basis and Projection
Explores polynomial approximation with orthonormal bases and orthogonal projection methods.
Bases: Linear Combinations and Function Spaces
Explores bases in vector spaces, including linear combinations, orthogonal bases, and basis transformations using rotation matrices.
Orthogonal Basis of Subspaces
Explains the concept and calculations of orthogonal bases for subspaces in linear algebra.
Orthogonal Basis in W
Covers the concept of an orthogonal basis in a vector space.
Quadratic Approximation: Example
Covers finding the best quadratic approximation for a given function in a continuous space.
Orthogonalization of Vectors
Covers the Gram-Schmidt orthogonalization process and vector projections in a vector space.