vector space basis wikipedia - EAS
Dimension (vector space) - Wikipedia
https://en.wikipedia.org/wiki/Dimension_(vector_space)Webas a standard basis, and therefore = More generally, =, and even more generally, = for any field. The complex numbers are both a real and complex vector space; we have = and = So the dimension depends on the base field. The only vector space with dimension is {}, the vector space consisting only of its zero element.. Properties. If is a linear subspace …
Normed vector space - Wikipedia
https://en.wikipedia.org/wiki/Normed_vector_spaceWebIn mathematics, a normed vector space or normed space is a vector space over the real or complex numbers, on which a norm is defined. A norm is the formalization and the generalization to real vector spaces of the intuitive notion of "length" in the real (physical) world. A norm is a real-valued function defined on the vector space that is commonly …
Hilbert space - Wikipedia
https://en.wikipedia.org/wiki/Hilbert_spaceWebDefinition and illustration Motivating example: Euclidean vector space. One of the most familiar examples of a Hilbert space is the Euclidean vector space consisting of three-dimensional vectors, denoted by R 3, and equipped with the dot product.The dot product takes two vectors x and y, and produces a real number x ⋅ y.If x and y are represented in …
Euclidean vector - Wikipedia
https://en.wikipedia.org/wiki/Euclidean_vectorWebEuclidean and affine vectors. In the geometrical and physical settings, it is sometimes possible to associate, in a natural way, a length or magnitude and a direction to vectors. In addition, the notion of direction is strictly associated with the notion of an angle between two vectors. If the dot product of two vectors is defined—a scalar-valued product of two …
Basis (linear algebra) - Wikipedia
https://en.wikipedia.org/wiki/Basis_(linear_algebra)WebDefinition. A basis B of a vector space V over a field F (such as the real numbers R or the complex numbers C) is a linearly independent subset of V that spans V.This means that a subset B of V is a basis if it satisfies the two following conditions: . linear independence for every finite subset {, …,} of B, if + + = for some , …, in F, then = = =; spanning property …
Banach space - Wikipedia
https://en.wikipedia.org/wiki/Banach_spaceWebDefinition. A Banach space is a complete normed space (, ‖ ‖). A normed space is a pair (, ‖ ‖) consisting of a vector space over a scalar field (where is commonly or ) together with a distinguished norm ‖ ‖:. Like all norms, this norm induces a translation invariant distance function, called the canonical or induced metric, defined by
Standard basis - Wikipedia
https://en.wikipedia.org/wiki/Standard_basisWebIn mathematics, the standard basis (also called natural basis or canonical basis) of a coordinate vector space (such as or ) is the set of vectors whose components are all zero, except one that equals 1.For example, in the case of the Euclidean plane formed by the pairs (x, y) of real numbers, the standard basis is formed by the vectors = (,), = (,). ...
Inner product space - Wikipedia
https://en.wikipedia.org/wiki/Inner_product_spaceWebIn mathematics, an inner product space (or, rarely, a Hausdorff pre-Hilbert space) is a real vector space or a complex vector space with an operation called an inner product. The inner product of two vectors in the space is a scalar, often denoted with angle brackets such as in , .Inner products allow formal definitions of intuitive geometric notions, such as …
Dual space - Wikipedia
https://en.wikipedia.org/wiki/Dual_spaceWebAlgebraic dual space. Given any vector space over a field, the (algebraic) dual space (alternatively denoted by or ′) is defined as the set of all linear maps: (linear functionals).Since linear maps are vector space homomorphisms, the dual space may be denoted (,). The dual space itself becomes a vector space over when equipped with an …
Affine space - Wikipedia
https://en.wikipedia.org/wiki/Affine_spaceWebAn affine transformation or endomorphism of an affine space is an affine map from that space to itself. One important family of examples is the translations: given a vector , the translation map : that sends + for every in is an affine map. Another important family of examples are the linear maps centred at an origin: given a point and a linear map , one …