Linked from

The 23 pages that link to Orthogonality, each with the reason it gives.

• Fourier seriesRelated: Orthogonal sine and cosine functions let each Fourier coefficient be extracted independently.

• Hilbert spaceRelated: The inner product defines perpendicularity and supports orthogonal decompositions.

• Euclidean spaceRelated: It formalizes perpendicularity for displacement vectors.

• Fourier analysisRelated: Orthogonal basis functions let Fourier coefficients isolate individual components.

• Inner productRelated: Zero inner product gives the inner-product space's notion of perpendicular vectors.

• Dot productRelated: A zero dot product identifies perpendicular vectors in Euclidean space.

• Principal component analysisRelated: Distinct principal directions are orthogonal, making their component scores uncorrelated.

• Harmonic analysisRelated: Orthogonal oscillations can be separated and measured independently.

• Chebyshev polynomialsRelated: Weighted orthogonality distinguishes the first and second Chebyshev families.

• Inner product spaceRelated: Zero inner product generalizes perpendicularity to abstract vector spaces.

• Fourier coefficientRelated: Orthogonality lets each Fourier coefficient be determined independently of the others.

• Kronecker deltaRelated: Orthonormal basis vectors have inner products equal to a Kronecker delta.

• Approximation theoryRelated: Orthogonality makes best approximation by finite-dimensional subspaces tractable.

• Euclidean vectorRelated: The inner product identifies perpendicular Euclidean vectors.

• Ingrid DaubechiesRelated: Orthogonal wavelets yield stable, nonredundant expansions.

• De Gua's theoremRelated: The tetrahedron's three edges are pairwise orthogonal, enabling the area identity.