real vector space वाक्य
उदाहरण वाक्य
मोबाइल
- The starting point is a real vector space of dimension 2,.
- Let V _ 0 be a real vector space.
- The Cauchy integral formula is generalizable to real vector spaces of two or more dimensions.
- This is a real vector space.
- In mathematical terms, the Hausdorff dimension generalizes the notion of the dimension of a real vector space.
- The solutions of the linear equations are represented in a real vector space " M ".
- Let C be an open cone in the real vector space R ^ n, with vertex at the origin.
- Viewed in terms of homogeneous coordinates, a real vector space of homogeneous coordinates of the original geometry is complexified.
- The quotient of a ring by an idea gives a vector space, in this case a real vector space.
- The complexification of a real vector space results in a complex vector space ( over the complex number field ).
- If is a real vector space, then we replace by its complexification and let denote the induced bilinear form on.
- So, an inner product on a real vector space is a " positive-definite symmetric bilinear form ".
- When the scalar field is the real numbers, the vector space is called a " real vector space ".
- They have applications in algebraic topology, where they are used to define lattice theory studies free abelian subgroups of real vector spaces.
- Vect "'C "', from the category of real vector spaces to the category of complex vector spaces.
- A bilinear form on a real vector space " V ",, corresponds in a natural way to a type tensor in
- In the language of category theory one says that complexification defines an ( category of real vector spaces to the category of complex vector spaces.
- 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.
- The orientation on a real vector space is the arbitrary choice of which ordered bases are " positively " oriented and which are " negatively " oriented.
- More generally, any real vector space of ( finite ) dimension " D " can be viewed as the multiplication by a real number.
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