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Spaces of orderings of semigroups Jennifer Chubb George Washington University Logic/Topology Seminar March 21, 2006 Introduction Topology Computability References Outline Introduction 1 Ordering semigroups The topological space LO ( G )


  1. Spaces of orderings of semigroups Jennifer Chubb George Washington University Logic/Topology Seminar March 21, 2006

  2. Introduction Topology Computability References Outline Introduction 1 Ordering semigroups The topological space LO ( G ) Topology 2 Cantor space Gr¨ obner bases Computability 3 Definitions and terminology Results

  3. Introduction Topology Computability References Outline Introduction 1 Ordering semigroups The topological space LO ( G ) Topology 2 Cantor space Gr¨ obner bases Computability 3 Definitions and terminology Results

  4. Introduction Topology Computability References Ordering semigroups Basic Definitions Let G be a semigroup (a set with associative operation). Definition A linear ordering, < , on the elements of G is a left ordering of G if it is preserved under left multiplication. That is, for a , b , c ∈ G we have a < b ⇒ ca < cb . Right-orderings are defined similarly. Definition An ordering is a bi-ordering of G if it is both a left and right ordering of G .

  5. Introduction Topology Computability References Ordering semigroups Easy Observations Definition A semigroup is called left-orderable (bi-orderable) if it admits a left ordering (a bi-ordering). Let LO ( G ) be the set of all left orders of the semigroup G . Left-orderable abelian semigroups are bi-orderable. If G is a left-orderable semigroup, then G is not finite. Every left-orderable group is right-orderable.

  6. Introduction Topology Computability References The topological space LO ( G ) The subbasis topology, τ . For a , b ∈ G we define U a , b = { < ∈ LO ( G ) | a < b } . Let τ be the smallest topology on LO ( G ) containing { U a , b } a , b ∈ G . Observation This collection is a subbasis, so every open set is a union of sets of the form U a 1 , b 1 ∩ U a 2 , b 2 ∩ . . . ∩ U a n , b n .

  7. Introduction Topology Computability References The topological space LO ( G ) The metric topology, τ ′ . Alternatively, we can define a topology using a metric. Let ∅ = G 0 ⊂ G 1 ⊂ G 2 . . . be a filtration of G by finite 1 subsets with � i G i = G . For < 1 and < 2 in LO ( G ) , we define 2 d ( < 1 , < 2 ) = 1 2 r , where r = max { i | < 1 & < 2 agree on G i } , and set d ( < 1 , < 2 ) = 0 if r = ∞ (that is if < 1 and < 2 agree on all G i ). Let τ ′ be the corresponding metric topology. 3 (It is easy to check that d really is a metric.)

  8. Introduction Topology Computability References The topological space LO ( G ) Proposition These topologies are identical, that is, τ = τ ′ . Proof. For set V = U a 1 , b 1 ∩ . . . ∩ U a n , b n and any < ∈ V , there is r so that 1 B ( <, 1 / 2 r ) is contained in V . Choose i so that all of { a j , b j } j = 1 .. n are in G i . Let r be this i . For each B = B ( <, 1 / 2 r ) and any < 1 ∈ B there is an element of τ 2 containing < 1 that is a subset of B . < and < 1 must agree on G r + 1 , so in fact we have � B = U a , b . a , b ∈ G r + 1 So, the topology is independent of the choice of filtration!

  9. Introduction Topology Computability References The topological space LO ( G ) Properties of the space Theorem LO ( G ) is compact and totally disconnected. Proof. Totally disconnected: – If < 1 � = < 2 , then there are a , b ∈ G so that < 1 ∈ U a , b and < 2 ∈ U b , a . Compact: – Let { < 1 , < 2 , . . . } be a sequence in LO ( G ) . We show it has a convergent subsequence.

  10. Introduction Topology Computability References The topological space LO ( G ) Properties of the space Proof. cont. Let S 0 = def { < 0 1 , < 0 2 , . . . } be a subsequence of orders that agree on G 0 . G 0 is finite! Recursively, let S i + 1 = def { < i + 1 , < i + 1 , . . . } be a subsequence of 1 2 orders from S i that agree on G i + 1 . Let S = def { < i } n ∈ ω , where < i is the i th term in S i . Claim. S converges to an order, < ∞ , given by a < ∞ b ⇔ For a.e. n , a < n b . Proof of Claim. d ( < n , < ∞ ) ≤ 1 2 n .

  11. Introduction Topology Computability References Outline Introduction 1 Ordering semigroups The topological space LO ( G ) Topology 2 Cantor space Gr¨ obner bases Computability 3 Definitions and terminology Results

  12. Introduction Topology Computability References Cantor space Reminders and observations Recall that Cantor space can be thought of as 2 ω with the usual topology derived from the tree 2 <ω . A topological space is homeomorphic to the Cantor space exactly when it is totally disconnected, compact, metrizable, and perfect (ie. every point is a limit point). LO ( G ) is totally disconnected, compact, and metrizable. When is it perfect?

  13. Introduction Topology Computability References Cantor space When is LO ( G ) perfect? LO ( Z n ) is for n ≥ 2. LO ( Z ∞ ) is. ??? It is unknown whether the free group with n > 1 generators, F n , has LO ( F n ) perfect. For groups satisfying certain additional criteria, a subcollection of their bi-orders is homeomorphic to the Cantor space.

  14. Introduction Topology Computability References Cantor space LO ( Z 2 ) LO ( Z n ) is homeomorphic to the Cantor space for all n ≥ 2. We’ll see the idea for the proof for n = 2. Observe that LO ( G ) is perfect if and only if all sets of the form U a 1 , b 1 ∩ . . . ∩ U a n , b n are always either empty or infinite. We’ll assume that LO ( Z 2 ) is not perfect and obtain a contradiction.

  15. Introduction Topology Computability References Cantor space LO ( Z 2 ) Theorem LO ( Z 2 ) is homeomorphic to the Cantor space. Proof idea. Assume there is U a 1 , b 1 ∩ . . . ∩ U a n , b n containing exactly one element, < . Each ordering of Z 2 divides the plane into a positive half and negative half, and so corresponds to a unique ordering on Z 2 . (“Positive” here means “ > ( 0 , 0 ) ” in Z 2 .) The boundary is a line through the origin. There are either infinitely many different lines or no lines determining an order for which a 1 < b 1 , a 2 < b 2 , and so forth. This contradicts our hypothesis.

  16. Introduction Topology Computability References Gr¨ obner bases An application: Gr¨ obner bases First, a little background... Let K [ x 1 , . . . , x n ] be a polynomial ring over a field. The subcollection of monomials form a monoid (a semigroup also equipped with a unique identity – in this case x 0 1 x 0 2 . . . x 0 n = 1). This monoid of monomials is isomorphic to Z n ≥ 0 via x i 1 1 x i 2 2 . . . x i n n �→ ( i 1 , i 2 , . . . , i n ) and we identify them.

  17. Introduction Topology Computability References Gr¨ obner bases Well-orderings of the monoid Definition A linear ordering, < , of G is a well-ordering if and only if each subset of G has an < -smallest element. We denote the collection of left well-orderings of G by LWO ( G ) . Fact For Z n ≥ 0 , an ordering is a well-ordering if and only if 0 is the least element of Z n ≥ 0 with respect to that order. In other words, LWO ( Z n ≥ 0 ) = LO ( Z n � ≥ 0 ) \ U a , 0 . a � = 0 We call LWO ( Z n ≥ 0 ) the space of monomial orderings for the polynomial ring K [ x 1 , . . . , x n ] .

  18. Introduction Topology Computability References Gr¨ obner bases Properties of the space LWO ( Z n ≥ 0 ) LWO ( Z n ≥ 0 ) is totally disconnected and metrizable. These properties are inherited from LO ( Z n ≥ 0 ) . The space is compact. It is a closed subset of a compact space – by the Fact. This space is perfect for n > 1. We can adapt the reasoning in the proof for all of Z n . Okay, great. What does this have to do with Gr¨ obner bases? What are Gr¨ obner bases?

  19. Introduction Topology Computability References Gr¨ obner bases The basics Choose an ordering of monomials from the polynomial ring, ≺ . A polynomial f can be expressed as a linear combination of monomials. Denote by LM ( f ) the ≺ -largest monomial appearing in f , and call this the leading monomial of f . Let I ⊳ K [ x 1 , . . . , x n ] be a non-zero ideal in the polynomial ring, and let LM ( I ) be the ideal in K [ x 1 , . . . , x n ] generated by the leading monomials of elements of I . Definition A set of polynomials { f 1 , . . . , f d } ⊂ I is a Gr¨ obner basis of I if their leading monomials generate LM ( I ) .

  20. Introduction Topology Computability References Gr¨ obner bases The application Proposition For any ideal I ⊳ K [ x 1 , . . . , x n ] and any set of polynomials f 1 , . . . , f d ∈ I , the set of monomial orderings on K [ x 1 , . . . , x n ] for which { f 1 , . . . , f d } is a Gr¨ obner basis is open . The proof of this fact uses some divisibility properties of Gr¨ obner bases. This, along with compactness of the space of orderings on the monomials, allows us to quickly prove the existence of universal Gr¨ obner bases.

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