Pregeometry (model theory)

Pregeometry, and in full combinatorial pregeometry, are essentially synonyms for "matroid". They were introduced by Gian-Carlo Rota with the intention of providing a less "ineffably cacophonous" alternative term. Also, the term combinatorial geometry, sometimes abbreviated to geometry, was intended to replace "simple matroid". These terms are now infrequently used in the study of matroids.

It turns out that many fundamental concepts of linear algebra – closure, independence, subspace, basis, dimension – are available in the general framework of pregeometries.

In the branch of mathematical logic called model theory, infinite finitary matroids, there called "pregeometries" (and "geometries" if they are simple matroids), are used in the discussion of independence phenomena. The study of how pregeometries, geometries, and abstract closure operators influence the structure of first-order models is called geometric stability theory.

Motivation

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If   is a vector space over some field and  , we define   to be the set of all linear combinations of vectors from  , also known as the span of  . Then we have   and   and  . The Steinitz exchange lemma is equivalent to the statement: if  , then  

The linear algebra concepts of independent set, generating set, basis and dimension can all be expressed using the  -operator alone. A pregeometry is an abstraction of this situation: we start with an arbitrary set   and an arbitrary operator   which assigns to each subset   of   a subset   of  , satisfying the properties above. Then we can define the "linear algebra" concepts also in this more general setting.

This generalized notion of dimension is very useful in model theory, where in certain situation one can argue as follows: two models with the same cardinality must have the same dimension and two models with the same dimension must be isomorphic.

Definitions

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Pregeometries and geometries

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A combinatorial pregeometry (also known as a finitary matroid) is a pair  , where   is a set and   (called the closure map) satisfies the following axioms. For all   and  :

  1.   is monotone increasing and dominates   (i.e.   implies  ) and is idempotent (i.e.  )
  2. Finite character: For each   there is some finite   with  .
  3. Exchange principle: If  , then   (and hence by monotonicity and idempotence in fact  ).

Sets of the form   for some   are called closed. It is then clear that finite intersections of closed sets are closed and that   is the smallest closed set containing  .

A geometry is a pregeometry in which the closure of singletons are singletons and the closure of the empty set is the empty set.

Independence, bases and dimension

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Given sets  ,   is independent over   if   for any  . We say that   is independent if it is independent over the empty set.

A set   is a basis for   over   if it is independent over   and  .

A basis is the same as a maximal independent subset, and using Zorn's lemma one can show that every set has a basis. Since a pregeometry satisfies the Steinitz exchange property all bases are of the same cardinality, hence we may define the dimension of   over  , written as  , as the cardinality of any basis of   over  . Again, the dimension   of   is defined to be the dimension over the empty set.

The sets   are independent over   if   whenever   is a finite subset of  . Note that this relation is symmetric.

Automorphisms and homogeneous pregeometries

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An automorphism of a pregeometry   is a bijection   such that   for any  .

A pregeometry   is said to be homogeneous if for any closed   and any two elements   there is an automorphism of   which maps   to   and fixes   pointwise.

The associated geometry and localizations

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Given a pregeometry   its associated geometry (sometimes referred in the literature as the canonical geometry) is the geometry   where

  1.  , and
  2. For any  ,  

Its easy to see that the associated geometry of a homogeneous pregeometry is homogeneous.

Given   the localization of   is the pregeometry   where  .

Types of pregeometries

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The pregeometry   is said to be:

  • trivial (or degenerate) if   for all non-empty  .
  • modular if any two closed finite dimensional sets   satisfy the equation   (or equivalently that   is independent of   over  ).
  • locally modular if it has a localization at a singleton which is modular.
  • (locally) projective if it is non-trivial and (locally) modular.
  • locally finite if closures of finite sets are finite.

Triviality, modularity and local modularity pass to the associated geometry and are preserved under localization.

If   is a locally modular homogeneous pregeometry and   then the localization of   in   is modular.

The geometry   is modular if and only if whenever  ,  ,   and   then  .

Examples

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The trivial example

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If   is any set we may define   for all  . This pregeometry is a trivial, homogeneous, locally finite geometry.

Vector spaces and projective spaces

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Let   be a field (a division ring actually suffices) and let   be a vector space over  . Then   is a pregeometry where closures of sets are defined to be their span. The closed sets are the linear subspaces of   and the notion of dimension from linear algebra coincides with the pregeometry dimension.

This pregeometry is homogeneous and modular. Vector spaces are considered to be the prototypical example of modularity.

  is locally finite if and only if   is finite.

  is not a geometry, as the closure of any nontrivial vector is a subspace of size at least  .

The associated geometry of a  -dimensional vector space over   is the  -dimensional projective space over  . It is easy to see that this pregeometry is a projective geometry.

Affine spaces

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Let   be a  -dimensional affine space over a field  . Given a set define its closure to be its affine hull (i.e. the smallest affine subspace containing it).

This forms a homogeneous  -dimensional geometry.

An affine space is not modular (for example, if   and   are parallel lines then the formula in the definition of modularity fails). However, it is easy to check that all localizations are modular.

Field extensions and transcendence degree

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Let   be a field extension. The set   becomes a pregeometry if we define  for  . The set   is independent in this pregeometry if and only if it is algebraically independent over  . The dimension of   coincides with the transcendence degree  .

In model theory, the case of   being algebraically closed and   its prime field is especially important.

While vector spaces are modular and affine spaces are "almost" modular (i.e. everywhere locally modular), algebraically closed fields are examples of the other extremity, not being even locally modular (i.e. none of the localizations is modular).

Strongly minimal sets in model theory

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Given a countable first-order language L and an L-structure M, any definable subset D of M that is strongly minimal gives rise to a pregeometry on the set D. The closure operator here is given by the algebraic closure in the model-theoretic sense.

A model of a strongly minimal theory is determined up to isomorphism by its dimension as a pregeometry; this fact is used in the proof of Morley's categoricity theorem.

In minimal sets over stable theories the independence relation coincides with the notion of forking independence.

References

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  • H.H. Crapo and G.-C. Rota (1970), On the Foundations of Combinatorial Theory: Combinatorial Geometries. M.I.T. Press, Cambridge, Mass.
  • Pillay, Anand (1996), Geometric Stability Theory. Oxford Logic Guides. Oxford University Press.
  • Casanovas, Enrique (2008-11-11). "Pregeometries and minimal types" (PDF).