In mathematics a projective space is a set of elements similar to the set P(V) of lines through the origin of a vector space V. The cases when V=R2 or V=R3 are the projective line and the projective plane, respectively.
The idea of a projective space relates to perspective, more precisely to the way an eye or a camera projects a 3D scene to a 2D image. All points which lie on a projection line (i.e. a "line-of-sight"), intersecting with the focal point of the camera, are projected onto a common image point. In this case the vector space is R3 with the camera focal point at the origin and the projective space corresponds to the image points.
Projective spaces can be studied as a separate field in mathematics, but are also used in various applied fields, geometry in particular. Geometric objects, such as points, lines, or planes, can be given a representation as elements in projective spaces based on homogeneous coordinates. As a result, various relations between these objects can be described in a simpler way than is possible without homogeneous coordinates. Furthermore, various statements in geometry can be made more consistent and without exceptions. For example, in the standard geometry for the plane two lines always intersect at a point except when the lines are parallel. In a projective representation of lines and points, however, such an intersection point exists even for parallel lines, and it can be computed in the same way as other intersection points.
Other mathematical fields where projective spaces play a significant role are topology, the theory of Lie groups and algebraic groups, and their representation theories.
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As outlined above, projective space is a geometric object formalizing statements like "Parallel lines intersect at infinity". For concreteness, we will give the construction of the real projective plane RP2 in some detail. There are three equivalent definitions:
The last formula goes under the name of homogeneous coordinates.
Notice that any point [x : y : z] with z ≠ 0 is equivalent to [x/z : y/z : 1]. So there are two disjoint subsets of the projective plane: that consisting of the points [x : y : z] = [x/z : y/z : 1] for z ≠ 0, and that consisting of the remaining points [x : y : 0]. The latter set can be subdivided similarly into two disjoint subsets, with points [x/y : 1 : 0] and [x : 0 : 0]. In the last case, x is necessarily nonzero, because the origin was not part of RP2. Thus the point is equivalent to [1 : 0 : 0]. Geometrically, the first subset, which is isomorphic (not only as a set, but also as a manifold, as will be seen later) to R2, is in the image the yellow upper hemisphere (without the equator), or equivalently the lower hemisphere. The second subset, isomorphic to R1, corresponds to the green line (without the two marked points), or, again, equivalently the light green line. Finally we have the red point or the equivalent light red point. We thus have a disjoint decomposition
Intuitively already clear, and made precise below, R1 ⊔ point is itself the real projective line RP1. Considered as a subset of RP2, it is called line at infinity, whereas R2 ⊂ RP2 is called affine plane, i.e. just the usual plane.
The next objective is to make the saying "parallel lines meet at infinity" precise. A natural bijection between the plane z = 1 (which meets the sphere at the north pole N = (0, 0, 1)) and the affine plane inside the projective plane (i.e. the upper hemisphere) is accomplished by the stereographic projection, i.e. any point P on this plane is mapped to the intersection point of the line through the origin and P and the sphere. Therefore two lines L1 and L2 (blue) in the plane are mapped to what looks like great circles (antipodal points are identified, though). Great circles intersect precisely in two antipodal points, which are identified in the projective plane, i.e. any two lines have exactly one intersection point inside RP2. This phenomenon is axiomatized and studied in projective geometry.
Real projective space, RPn, is defined by
with the equivalence relation (x0, ..., xn) ~ (λx0, ..., λxn), where λ is an arbitrary non-zero real number. Equivalently, it is the set of all lines in Rn+1 passing through the origin 0 := (0, ..., 0).
Instead of R, one may take any field, or even a division ring, k. Taking the complex numbers or the quaternions, one obtains the complex projective space CPn and quaternionic projective space HPn. In algebraic geometry the usual notation for projective space is Pnk.
If n is one or two, it is also called projective line or projective plane, respectively. The complex projective line is also called the Riemann sphere.
As in the above special case, the notation (so-called homogeneous coordinates) for a point in projective space is
Slightly more generally, for a vector space V (over some field k, or even more generally a module V over some division ring), P(V) is defined to be (V \ {0}) / ~, where two non-zero vectors v1, v2 in V are equivalent if they differ by a non-zero scalar λ, i.e., v1 = λv2. The vector space need not be finite-dimensional; thus, for example, there is the theory of projective Hilbert spaces.
In the theory of Alexander Grothendieck, especially in the construction of projective bundles, there are reasons for applying the construction outlined above rather to the dual space V*, the reasons being that we would like to associate a projective space to every scheme Y and every quasi-coherent sheaf E over Y, not just the locally free ones. See EGAII, Chap. II, par. 4 for more details.
The above definition of projective space gives a set. For purposes of differential geometry, which deals with manifolds, it is useful to endow this set with a (real or complex) manifold structure.
Namely consider the following subsets: . By the definition of projective space, their union is the whole projective space. Further, Ui is in bijection to Rn (or Cn) via
(the hat means that the i-th entry is missing).
The example image shows RP1. (Antipodal points are identified in RP1, though). It is covered by two copies of the real line R, each of which covers the projective line except one point, which is "the" (or a) point at infinity.
We first define a topology on projective space by declaring that these maps shall be homeomorphisms, that is, a subset of Ui is open iff its image under the above isomorphism is an open subset (in the usual sense) of Rn. An arbitrary subset A of RPn is open if all intersections A ∩ Ui are open. This defines a topological space.
The manifold structure is given by the above maps, too.
Another way to think about the projective line is the following: take two copies of the affine line with coordinates x and y, respectively, and glue them together along the subsets x ≠ 0 and y ≠ 0 via the maps
The resulting manifold is the projective line. The charts given by this construction are the same as the ones above. Similar presentations exist for higher-dimensional projective spaces.
The above decomposition in disjoint subsets reads in this generality:
this so-called cell-decomposition can be used to calculate the singular cohomology of projective space.
All of the above holds for complex projective space, too. The complex projective line CP1 is an example of a Riemann surface.
The covering by the above open subsets also shows that projective space is an algebraic variety (or scheme), it is covered by n + 1 affine n-spaces. The construction of projective scheme is an instance of the Proj construction.
There are some advantages of the projective space against affine space (e.g. RPn vs. Rn). For these reasons it is important to know when a given manifold or variety is projective, i.e. embeds into (is a closed subset of) projective space. (Very) ample line bundles are designed to tackle this question.
Note that a projective space can be formed by the projectivization of a vector space, as lines through the origin, but cannot be formed from an affine space without a choice of basepoint. That is, affine spaces are open subspaces of projective spaces, which are quotients of vector spaces.
A projective space S can be defined abstractly as a set P (the set of points), together with a set L of subsets of P (the set of lines), satisfying these axioms :
The last axiom eliminates reducible cases that can be written as a disjoint union of projective spaces together with 2-point lines joining any two points in distinct projective spaces. More abstractly, it can be defined as an incidence structure consisting of a set P of points, a set L of lines, and an incidence relation I stating which points lie on which lines.
A subspace of the projective space is a subset X, such that any line containing two points of X is a subset of X. The full space and the empty space are subspaces.
The geometric dimension of the space is said to be n if that is the largest number for which there is a strictly ascending chain of subspaces of this form:
There are
projective planes of order 2, 3, 4, …, 10. The numbers beyond this are very hard to calculate.
The smallest projective plane is the Fano plane, PG[2,2] with 7 points and 7 lines.
Injective linear maps T ∈ L(V,W) between two vector spaces V and W over the same field k induce mappings of the corresponding projective spaces via
where v is a non-zero element of V and [...] denotes the equivalence classes of a vector under the defining identification of the respective projective spaces. Since members of the equivalence class differ by a scalar factor, and linear maps preserve scalar factors, this induced map is well-defined. (If T is not injective, it will have a null space larger than {0}; in this case the meaning of the class of T(v) is problematic if v is non-zero and in the null space. In this case one obtains a so-called rational map, see also birational geometry).
Two linear maps S and T in L(V,W) induce the same map between P(V) and P(W) if and only if they differ by a scalar multiple of the identity, that is if T=λS for some λ ≠ 0. Thus if one identifies the scalar multiples of the identity map with the underlying field, the set of k-linear morphisms from P(V) to P(W) is simply P(L(V,W)).
The automorphisms P(V) → P(V) can be described more concretely. (We deal only with automorphisms preserving the base field k). Using the notion of sheaves generated by global sections, it can be shown that any algebraic (not necessarily linear) automorphism has to be linear, i.e. coming from a (linear) automorphism of the vector space V. The latter form the group GL(V). By identifying maps which differ by a scalar, one concludes
the quotient group of GL(V) modulo the matrices which are scalar multiples of the identity. (These matrices form the center of Aut(V)). The groups PGL are called projective linear groups. The automorphisms of the complex projective line CP1 are called Möbius transformations.
Severi-Brauer varieties are algebraic varieties over a field k which become isomorphic to projective spaces after an extension of the base field k.
Projective spaces are special cases of toric varieties. Another generalisation are weighted projective spaces.