Linear independence/Related Articles
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- See also changes related to Linear independence, or pages that link to Linear independence or to this page or whose text .
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- Basis (linear algebra) : A set of vectors that, in a linear combination, can represent every vector in a given vector space or free module, and such that no element of the set can be represented as a linear combination of the others.
- Basis (mathematics) : Add brief definition or description
- Cauchy-Schwarz inequality : The inequality or its generalization |⟨x,y⟩| ≤ ||x|| ||y||.
- Diagonal matrix : A square matrix which has zero entries off the main diagonal.
- Gram-Schmidt orthogonalization : Sequential procedure or algorithm for constructing a set of mutually orthogonal vectors from a given set of linearly independent vectors.
- Matroid : Structure that captures the essence of a notion of 'independence' that generalizes linear independence in vector spaces.
- Ring (mathematics) : Algebraic structure with two operations, combining an abelian group with a monoid.
- Sequence : An enumerated list in mathematics; the elements of this list are usually referred as to the terms.
- Serge Lang : (19 May 1927 – 12 September 2005) French-born American mathematician known for his work in number theory and for his mathematics textbooks, including the influential Algebra.
- Span (mathematics) : The set of all finite linear combinations of a module over a ring or a vector space over a field.
- Vector space : A set of vectors that can be added together or scalar multiplied to form new vectors