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  2. Linear subspace - Wikipedia

    en.wikipedia.org/wiki/Linear_subspace

    In R 3, the intersection of two distinct two-dimensional subspaces is one-dimensional. Given subspaces U and W of a vector space V, then their intersection U ∩ W := {v ∈ V : v is an element of both U and W} is also a subspace of V. [10] Proof: Let v and w be elements of U ∩ W. Then v and w belong to both U and W.

  3. Invariant subspace - Wikipedia

    en.wikipedia.org/wiki/Invariant_subspace

    Any eigenvector for T spans a 1-dimensional invariant subspace, and vice-versa. In particular, a nonzero invariant vector (i.e. a fixed point of T ) spans an invariant subspace of dimension 1. As a consequence of the fundamental theorem of algebra , every linear operator on a nonzero finite-dimensional complex vector space has an eigenvector.

  4. Space (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Space_(mathematics)

    However, some one-dimensional subspaces of L are parallel to A; in some sense, they intersect A at infinity. The set of all one-dimensional linear subspaces of a (n+1)-dimensional linear space is, by definition, a n-dimensional projective space. And the affine subspace A is embedded into the projective space as a proper subset. However, the ...

  5. Vector space - Wikipedia

    en.wikipedia.org/wiki/Vector_space

    Linear subspace of dimension 1 and 2 are referred to as a line (also vector line), and a plane respectively. If W is an n-dimensional vector space, any subspace of dimension 1 less, i.e., of dimension is called a hyperplane. [53] The counterpart to subspaces are quotient vector spaces. [54]

  6. Projective space - Wikipedia

    en.wikipedia.org/wiki/Projective_space

    The projective space, being the "space" of all one-dimensional linear subspaces of a given vector space V is generalized to Grassmannian manifold, which is parametrizing higher-dimensional subspaces (of some fixed dimension) of V. sequence of subspaces More generally flag manifold is the space of flags, i.e., chains of linear subspaces of V.

  7. Grassmannian - Wikipedia

    en.wikipedia.org/wiki/Grassmannian

    For k = 1, the Grassmannian Gr(1, n) is the space of lines through the origin in n-space, so it is the same as the projective space of n − 1 dimensions.. For k = 2, the Grassmannian is the space of all 2-dimensional planes containing the origin.

  8. Gaussian binomial coefficient - Wikipedia

    en.wikipedia.org/wiki/Gaussian_binomial_coefficient

    is the number of one-dimensional subspaces in (F q) n (equivalently, the number of points in the associated projective space). Furthermore, when q is 1 (respectively −1), the Gaussian binomial coefficient yields the Euler characteristic of the corresponding complex (respectively real) Grassmannian.

  9. Projective plane - Wikipedia

    en.wikipedia.org/wiki/Projective_plane

    The projective plane over K, denoted PG(2, K) or KP 2, has a set of points consisting of all the 1-dimensional subspaces in K 3. A subset L of the points of PG(2, K) is a line in PG(2, K) if there exists a 2-dimensional subspace of K 3 whose set of 1-dimensional subspaces is exactly L.