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Orthogonality

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Definition of angle between vectors
Definition of orthogonal vectors
Definition of parallel vectors
Pythagorean equality characterizes orthogonality over the reals
Definition of a vector being orthogonal to a subspace
Definition of orthogonal complement of a subspace
The orthogonal complement of a subspace is a subspace.
The direct sum of a subspace and its orthogonal complement is the whole space.
A vector is in the orthogonal complement of a subspace if and only if it is orthogonal to every vector in a basis of the subspace.
Null spaces are orthogonal complements of the corresponding row or column spaces
Definition of orthogonal set of vectors
Definition of orthonormal set of vectors
An orthogonal set of nonzero vectors is linearly independent.
Definition of orthogonal basis of a (sub)space
Definition of orthonormal basis of a (sub)space
A square real matrix has orthonormal columns iff its inverse is its transpose
A matrix with real entries and orthonormal columns preserves norms.
A matrix with real entries and orthonormal columns preserves dot products.
Formula for the coordinates of a vector with respect to an orthogonal/orthonormal basis.
A vector can be written uniquely as a sum of a vector in a subspace and a vector orthogonal to the subspace.
Description of the Gram-Schmidt process
The Gram-Schmidt process converts a linearly independent set into an orthogonal set.
Definition of Gram-Schmidt process
Definition of orthogonal subspaces

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Definition of parallel vectors

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OrthogonalityClose match
Definition of orthogonal vectorsClose match
Definition of a vector being orthogonal to a subspaceClose match
Definition of orthogonal set of vectorsClose match
An orthogonal set of nonzero vectors is linearly independent.Close match
Definition of (orthogonal) projection of one vector onto another vectorClose match
Definition of angle between vectorsClose match
Definition of orthonormal set of vectorsClose match
Definition of orthogonal basis of a (sub)spaceClose match
Definition of 0 vectorClose match
Example of vector-scalar multiplication in R^2Close match
Linear (in)dependenceClose match
Orthogonality and projectionClose match
A vector can be written uniquely as a sum of a vector in a subspace and a vector orthogonal to the subspace.Close match
Definition of vector additionRelated
Definition of unit vectorRelated
The orthogonal complement of a subspace is a subspace.Related
Definition of orthonormal basis of a (sub)spaceRelated
ProjectionRelated
A vector is in the orthogonal complement of a subspace if and only if it is orthogonal to every vector in a basis of the subspace.Related

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