Examples of using Vector space in English and their translations into Hebrew
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Every vector space has a basis.
Basis and dimension of a vector space.
Vector spaces, bases, and dimension.
Suppose that$V$ is any vector space.
Vector spaces over a field are flat modules.
Suppose$V$ is a complex vector space.
The only vector space with dimension 0 is{0}, the vector space consisting only of its zero element.
Similarly, let A be a nonsingular linear mapping of vector space Rn to Rn.
Any element in the direct sum of two vector spaces of matrices can be represented as a direct sum of two matrices.
The wisdom of Kabbalah says that you constantly attain deep, wide,enter all vector spaces, and fully reveal them.
The usual mathematical way involves defining certain vector spaces and not fixing any coordinate systems until bases are introduced when needed.
If B is a vector space of linear maps on the vector space A, then σ(A, B) is defined to be the weakest topology on A such that all elements of B are continuous.
Kismet has an underlying, three-dimensional emotional space, a vector space, of where it is emotionally.
In category theory, the coproduct, or categorical sum, is a category-theoretic construction which includes as examples the disjoint union of sets and of topological spaces, the free product of groups,and the direct sum of modules and vector spaces.
The Bernstein basispolynomials of degree n form a basis for the vector space Πn of polynomials of degree at most n.
On the one hand, these form a finite dimensional vector space for each k, and on the other, if we let k vary, we can find the numerators and denominators for constructing all the rational functions which are really functions on the underlying projective space P(V).
The Bernstein basispolynomials of degree n form a basis for the vector space Πn of polynomials of degree at most n.
Word2vec takes as its input a large corpus of text and produces a vector space, typically of several hundred dimensions, with each unique word in the corpus being assigned a corresponding vector in the space. Word vectors are positioned in the vector space such that words that share common contexts in the corpus are located close to one another in the space.[1].
Functional analysis is a branch of analysis that studies infinite-dimensional vector spaces and views functions as points in these spaces. .
The concept of an abelian group is one of the first concepts encountered in undergraduate abstract algebra, from whichmany other basic concepts, such as modules and vector spaces, are developed.
Scalar multiplication is one of the basic operations defining a vector space in linear algebra(or more generally, a module in abstract algebra).
Are weak solutions y:[ x 0, x 1]→ V{\displaystyle y:[x_{0},x_{1}]\to V}(for an appropriate vector space V{\displaystyle V}) of the Euler- Lagrange equation.
While at the Institute, Halmos wrote his first book,Finite Dimensional Vector Spaces, which immediately established his reputation as a fine expositor of mathematics.
Most commonly M is a metric space and dissimilarity is expressed as a distance metric, which is symmetric and satisfies the triangle inequality. Even more common,M is taken to be the d-dimensional vector space where dissimilarity is measured using the Euclidean distance, Manhattan distance or other distance metric. However, the dissimilarity function can be arbitrary.
A linear code of length n and rank k is a linear subspace Cwith dimension k of the vector space F q n{\displaystyle\mathbb{F}_{q}^{n}} where F q{\displaystyle\mathbb{F}_{q}} is the finite field with q elements.
The inner product is an example of a bilinear form,and it gives the vector space a geometric structure by allowing for the definition of length and angles.
The consistency of this way of using language depends to a large extent on the mathematical assumption that the waveequation(i.e., the law governing the changes with time of the wave function, or the Hilbert space vector) is linear.
By appending the additional coordinate"1" to every vector, one essentially considers the space to be mapped as a subset of a space with an additional dimension.