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  2. Basis (linear algebra) - Wikipedia

    en.wikipedia.org/wiki/Basis_(linear_algebra)

    The coefficients of this linear combination are referred to as components or coordinates of the vector with respect to B. The elements of a basis are called basis vectors. Equivalently, a set B is a basis if its elements are linearly independent and every element of V is a linear combination of elements of B. [1]

  3. Linear extension - Wikipedia

    en.wikipedia.org/wiki/Linear_extension

    This area also includes one of order theory's most famous open problems, the 1/3–2/3 conjecture, which states that in any finite partially ordered set that is not totally ordered there exists a pair (,) of elements of for which the linear extensions of in which < number between 1/3 and 2/3 of the total number of linear extensions of . [11 ...

  4. Linear subspace - Wikipedia

    en.wikipedia.org/wiki/Linear_subspace

    In mathematics, and more specifically in linear algebra, a linear subspace or vector subspace [1] [note 1] is a vector space that is a subset of some larger vector space. A linear subspace is usually simply called a subspace when the context serves to distinguish it from other types of subspaces .

  5. Linear independence - Wikipedia

    en.wikipedia.org/wiki/Linear_independence

    In the theory of vector spaces, a set of vectors is said to be linearly independent if there exists no nontrivial linear combination of the vectors that equals the zero vector. If such a linear combination exists, then the vectors are said to be linearly dependent. These concepts are central to the definition of dimension. [1]

  6. Dual linear program - Wikipedia

    en.wikipedia.org/wiki/Dual_linear_program

    The max-flow min-cut theorem is a special case of the strong duality theorem: flow-maximization is the primal LP, and cut-minimization is the dual LP. See Max-flow min-cut theorem#Linear program formulation. Other graph-related theorems can be proved using the strong duality theorem, in particular, Konig's theorem. [9]

  7. System of linear equations - Wikipedia

    en.wikipedia.org/wiki/System_of_linear_equations

    A linear system in three variables determines a collection of planes. The intersection point is the solution. In mathematics, a system of linear equations (or linear system) is a collection of two or more linear equations involving the same variables. [1] [2] For example,

  8. Interpolation space - Wikipedia

    en.wikipedia.org/wiki/Interpolation_space

    The theory of interpolation of vector spaces began by an observation of Józef Marcinkiewicz, later generalized and now known as the Riesz-Thorin theorem.In simple terms, if a linear function is continuous on a certain space L p and also on a certain space L q, then it is also continuous on the space L r, for any intermediate r between p and q.

  9. Dual system - Wikipedia

    en.wikipedia.org/wiki/Dual_system

    In mathematics, a dual system, dual pair or a duality over a field is a triple (,,) consisting of two vector spaces, and , over and a non-degenerate bilinear map:.. In mathematics, duality is the study of dual systems and is important in functional analysis.