Примеры использования Vector spaces на Английском языке и их переводы на Русский язык
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Any two vector spaces over F having the same dimension are isomorphic.
Hence affine combinations are defined in vector spaces over any field.
K-Vect, vector spaces over a field K and K-linear transformations.
All linear maps between finite dimensional vector spaces are also continuous.
Linear algebra: vector spaces, direct sums, tensor products, factor-spaces.
The forgetful functor Vect→ Set on the category of real vector spaces is represented by R, 1.
In discrete vector spaces, each possible value for x{\displaystyle\mathbf{x}} may be visualized as a vertex in a graph.
Linear algebra, in which the specific properties of linear equations, vector spaces and matrices are studied.
Most operations on vector spaces can be extended to vector bundles by performing the vector space operation fiberwise.
The Gateaux derivative extends the concept to locally convex topological vector spaces.
Isometrically isomorphic normed vector spaces are identical for all practical purposes.
A matroid is a structure that captures andgeneralizes the notion of linear independence in vector spaces.
The most important maps between two normed vector spaces are the continuous linear maps.
An approach to analysis based on topological groups,topological rings, and topological vector spaces.
This method is very general,and typically vector spaces of more specialized functions on sets close at hand are explored.
Segre was a pioneer in finite geometry,in particular projective geometry based on vector spaces over a finite field.
Suppose V{\displaystyle V}, W{\displaystyle W}are finite-dimensional vector spaces over a field, with dimensions m{\displaystyle m} and n{\displaystyle n}, respectively.
And since any Euclidean space is complete,we can thus conclude that all finite-dimensional normed vector spaces are Banach spaces. .
The vector spaces for linearly equivalent divisors are naturally isomorphic through multiplication with the global meromorphic function which is well-defined up to a scalar.
Examples of more complex algebraic structures include vector spaces, modules, and algebras.
These vector spaces are generally endowed with additional structure, which may be a topology, allowing the consideration of issues of proximity and continuity.
The mathematician Leonid Kantorovich developed economic models in partially ordered vector spaces, that emphasized the duality between quantities and prices.
The conclusion is that every representation Π: SO(3; 1)+→ GL(V) and every projective representation Π: SO(3; 1)+→ PGL(W) for V,W finite-dimensional vector spaces are faithful.
In most examples, the objects are mathematical structures(such as sets, vector spaces, or topological spaces) and the morphisms are functions between these structures.
Doing this constructions pointwise gives the tangent space, a covariant functor from the category of pointed differentiable manifolds to the category of real vector spaces.
While the geometric intuition of LOF is only applicable to low-dimensional vector spaces, the algorithm can be applied in any context a dissimilarity function can be defined.
Smith spaces are named after Marianne Ruth Freundlich Smith,who introduced them as duals to Banach spaces in some versions of duality theory for topological vector spaces.
Let the Banach spaces X{\displaystyle X} and Y{\displaystyle Y}be ordered vector spaces and let T: X→ Y{\displaystyle T\colon X\to Y} be a linear operator.
The algebraic objects to which representation theory applies can be viewed as particular kinds of categories, andthe representations as functors from the object category to the category of vector spaces.
Functors are often defined by universal properties; examples are the tensor product, the direct sum anddirect product of groups or vector spaces, construction of free groups and modules, direct and inverse limits.