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Encyclopedia > Affine line

In mathematics, an affine space is an abstract structure that generalises the affine-geometric properties of Euclidean space. In an affine space, one can subtract points to get vectors, or add a vector to a point to get another point, but one cannot add points, since there is no origin. One-dimensional affine space is the affine line. Wikibooks Wikiversity has more about this subject: School of Mathematics Wikiquote has a collection of quotations by or about: Mathematics Look up Mathematics in Wiktionary, the free dictionary Wikimedia Commons has more media related to: Mathematics Bogomolny, Alexander: Interactive Mathematics Miscellany and Puzzles. ... In mathematics, a structure on a set is some additional mathematical objects that, loosely speaking, attach to the set, making it easier to visualize or work with. ... In geometry, affine geometry occupies a place intermediate between Euclidean geometry and projective geometry. ... In mathematics and astronomy, Euclidean space is a generalization of the 2- and 3-dimensional spaces studied by Euclid. ...


Physical space (in pre-relativistic conceptions) is not only an affine space. It also has a metric structure and in particular a conformal structure.

Contents


Informal descriptions

The following characterization may be easier to understand than a precise definition: an affine space is what is left of a vector space after you've forgotten which point is the origin (or, in the words of mathematical physicist John Baez, "An affine space is a vector space that's forgotten its origin"). Imagine that Smith knows that a certain point is the origin, and Jones believes that another point—call it p—is the origin. Two vectors, a and b, are to be added. Jones draws an arrow from p to a and another arrow from p to b, and completes the parallelogram to find what Jones thinks is a + b, but Smith knows that it is actually p + (ap) + (bp). Similarly, Jones and Smith may evaluate any linear combination of a and b, or of any finite set of vectors, and will generally get different answers. However—and note this well: In the jargon of mathematics, the statement that Property P characterizes object X means, not simply that X has property P, but that X is the only thing that has property P. It is also common to find statements such as Property Q characterises Y up to isomorphism. The first... John C. Baez is an American mathematical physicist who works on loop quantum gravity and applications of category theory to physics. ... In mathematics, linear combinations are a concept central to linear algebra and related fields of mathematics. ...

If the sum of the coefficients in a linear combination is 1, then Smith and Jones will agree on the answer!

The proof is a routine exercise. Here is the punch line: Smith knows the "linear structure", but both Smith and Jones know the "affine structure"—i.e. the values of affine combinations, defined as linear combinations in which the sum of the coefficients is 1. An underlying set with an affine structure is an affine space. In mathematics, an affine combination of vectors x1, ..., xn is a linear combination in which the sum of the coefficients is 1, thus: . Here the vectors are supposed to lie in given vector space V over a field K; and the coefficients are scalars in K. This concept is important...


An affine space is a space in which you can subtract two points to form a vector pointing from one point to the other. If you single out one point and identify it with the zero vector you get a vector space. Since in any vector space you can subtract vectors to get a connecting vector, all vector spaces are affine spaces. Another way of putting this is that an affine space is a vector space that's forgotten its origin. Instead of arbitrary linear combinations, only affine combinations of points have meaning. In mathematics, linear combinations are a concept central to linear algebra and related fields of mathematics. ... In mathematics, an affine combination of vectors x1, ..., xn is a linear combination in which the sum of the coefficients is 1, thus: . Here the vectors are supposed to lie in given vector space V over a field K; and the coefficients are scalars in K. This concept is important...


Precise definition

An affine space is a set with a transitive vector space action. In mathematics, groups are often used to describe symmetries of objects. ... A vector space (or linear space) is the basic object of study in the branch of mathematics called linear algebra. ... In mathematics, groups are often used to describe symmetries of objects. ...


Alternatively an affine space is a set S, together with a vector space V, and a map

such that

1. for every b in S the map
is a bijection, and
2. for every a, b and c in S we have

We can define addition of vectors and points as follows

Examples

  • If V is a vector space, then V is an affine space for vector subtraction.
  • If O, a and b are points in S and is a real number, then

is independent of O.


See also


  Results from FactBites:
 
Affine space - Wikipedia, the free encyclopedia (1714 words)
An affine space is a set with a faithful transitive vector space action, a principal homogeneous space with a vector space action.
An affine subspace of a vector space V is a subset closed under affine combinations of vectors in the space.
An affine transformation between two vector spaces is a combination of a linear transformation and a translation.
Proper map - Wikipedia, the free encyclopedia (626 words)
, is the affine line minus the origin and thus not closed.
For example, the projective line is proper over a field (or even over Z) since one can always scale homogeneous co-ordinates by their least common denominator.
A deep property of proper morphisms is the existence of a Stein factorization, namely the existence of an intermediate scheme such that a morphism can be expressed as one with connected fibres, followed by a finite morphism.
  More results at FactBites »


 

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