the theory of fields is complete for isomorphisms
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The Theory of Fields is Complete for Isomorphisms Russell Miller - PowerPoint PPT Presentation

The Theory of Fields is Complete for Isomorphisms Russell Miller Queens College & CUNY Graduate Center CUNY Logic Workshop 28 February 2014 (Joint work with Jennifer Park, Bjorn Poonen, Hans Schoutens, and Alexandra Shlapentokh.) Russell


  1. The Theory of Fields is Complete for Isomorphisms Russell Miller Queens College & CUNY Graduate Center CUNY Logic Workshop 28 February 2014 (Joint work with Jennifer Park, Bjorn Poonen, Hans Schoutens, and Alexandra Shlapentokh.) Russell Miller (CUNY) Completeness for Fields CUNY Logic Workshop 1 / 18

  2. Useful Properties in Computable Model Theory Let S be a structure with domain ω , in a computable language. Definition The spectrum of S is the set of all Turing degrees of copies of S : Spec ( S ) = { deg ( M ) : M ∼ = S & dom ( M ) = ω } . Definition If S is computable, the computable dimension of S is the number of computable isomorphism classes of computable structures isomorphic to S . If this equals 1, then S is computably categorical . d -computable dimension is similar, with d -computable isomorphisms. Definition The categoricity spectrum of S is the set of all Turing degrees d such that S is d -computably categorical. Russell Miller (CUNY) Completeness for Fields CUNY Logic Workshop 2 / 18

  3. Completeness for Isomorphisms Theorem (Hirschfeldt-Khoussainov-Shore-Slinko 2002) For every automorphically nontrivial, countable structure A , there exists a countable graph G which has the same spectrum as A , the same d -computable dimension as A (for each d ), and the same categoricity properties as A under expansion by a constant, and which realizes every DgSp A ( R ) (for every relation R on A ) as the spectrum of some relation on G . Moreover, this holds not only of graphs, but also of partial orderings, lattices, rings, integral domains of arbitrary characteristic, commutative semigroups, and 2-step nilpotent groups. Given A , they built a graph G = G ( A ) such that the isomorphisms from A onto any B correspond bijectively with the isomorphisms from G ( A ) onto G ( B ) , by a map f �→ G ( f ) which preserves the Turing degree of f . Russell Miller (CUNY) Completeness for Fields CUNY Logic Workshop 3 / 18

  4. Incompleteness for Isomorphisms The following classes of structures are known not to be complete in this way, by results of Richter, Dzgoev and Goncharov, Remmel, and many others: linear orders Boolean algebras trees (as partial orders, or under the meet function) abelian groups algebraically closed fields real closed fields fields of finite transcendence degree over Q . Russell Miller (CUNY) Completeness for Fields CUNY Logic Workshop 4 / 18

  5. The Friedman-Stanley Embedding Given a graph G with domain ω , H. Friedman and Stanley defined the field S ( G ) . Let X 0 , X 1 , . . . be algebraically independent over Q . Let F 0 be the field generated by ∪ n Q ( X n ) . Then set � S ( G ) = F 0 [ X m + X n : ( m , n ) ∈ G ] . Thus S ( G ) is computable in G , uniformly, and an isomorphism g : G → H gives an isomorphism S ( g ) : S ( G ) → S ( H ) . Indeed G ∼ ⇒ S ( G ) ∼ = H ⇐ = S ( H ) . Russell Miller (CUNY) Completeness for Fields CUNY Logic Workshop 5 / 18

  6. The Friedman-Stanley Embedding Given a graph G with domain ω , H. Friedman and Stanley defined the field S ( G ) . Let X 0 , X 1 , . . . be algebraically independent over Q . Let F 0 be the field generated by ∪ n Q ( X n ) . Then set � S ( G ) = F 0 [ X m + X n : ( m , n ) ∈ G ] . Thus S ( G ) is computable in G , uniformly, and an isomorphism g : G → H gives an isomorphism S ( g ) : S ( G ) → S ( H ) . Indeed G ∼ ⇒ S ( G ) ∼ = H ⇐ = S ( H ) . However, S ( G ) is never computably categorical, even when G is. And S ( G ) may be computably presentable, even when G is not. So this S does not preserve the properties we want. The functor S is neither computable, nor full : not all isomorphisms S ( G ) → S ( H ) are of the form S ( g ) . Russell Miller (CUNY) Completeness for Fields CUNY Logic Workshop 5 / 18

  7. A Better Functor From Graphs to Fields Theorem (MPPSS) For every countable graph G , there exists a countable field F ( G ) with the same computable-model-theoretic properties as G , as in the HKSS theorem. Indeed, F may be viewed as an effective, fully faithful functor from the category of countable graphs (under monomorphisms) into the class of fields, with an effective inverse functor (on its image). Full faithfulness means that each field homomorphism F ( G ) → F ( G ′ ) comes from a unique monomorphism G → G ′ . Isomorphisms g : G → G ′ will map to isomorphisms F ( g ) : F ( G ) → F ( G ′ ) . We do not claim that every F ′ ∼ = F ( G ) lies in the image of F . This situation will require attention. Russell Miller (CUNY) Completeness for Fields CUNY Logic Workshop 6 / 18

  8. Construction of F ( G ) We use two curves X and Y , defined by integer polynomials: X : p ( u , v ) = u 4 + 16 uv 3 + 10 v 4 + 16 v − 4 = 0 Y : q ( T , x , y ) = x 4 + y 4 + 1 + T ( x 4 + xy 3 + y + 1 ) = 0 Let G = ( ω, E ) be a graph. Set K = Q (Π i ∈ ω X ) to be the field generated by elements u 0 < v 0 < u 1 < v 1 , . . . , with { u i : i ∈ ω } algebraically independent over Q , and with p ( u i , v i ) = 0 for every i . The element u i in K ⊆ F ( G ) will represent the node i in G . Next, adjoin to K elements x ij and y ij for all i > j , with { x ij : i > j } algebraically independent over K , and with q ( u i u j , x ij , y ij ) = 0 if ( i , j ) ∈ E q ( u i + u j , x ij , y ij ) = 0 if ( i , j ) / ∈ E . We write Y t for the curve defined by q ( t , x , y ) = 0 over Q ( t ) . So the process above adjoins the function field of either Y u i u j or Y u i + u j , for each i > j . F ( G ) is the extension of K generated by all x ij and y ij . Russell Miller (CUNY) Completeness for Fields CUNY Logic Workshop 7 / 18

  9. Reconstructing G From F ( G ) Lemma Let G = ( ω, E ) be a graph, and build F ( G ) as above. Then: (i) X ( F ( G )) = { ( u i , v i ) : i ∈ ω } . (ii) If ( i , j ) ∈ E , then Y u i u j ( F ( G )) = { ( x ij , y ij ) } and Y u i + u j ( F ( G )) = ∅ . ∈ E , then Y u i u j ( F ( G )) = ∅ and Y u i + u j ( F ( G )) = { ( x ij , y ij ) } . (iii) If ( i , j ) / This is the heart of the proof. (i) says that p ( u , v ) = 0 has no solutions in F ( G ) except the ones we put there, so we can enumerate { u i : i ∈ ω } = { u ∈ F ( G ) : ( ∃ v ∈ F ( G )) p ( u , v ) = 0 } . Similarly, (ii) and (iii) say that the equations q ( u i u j , x , y ) = 0 and q ( u i + u j , x , y ) = 0 have no unintended solutions in F ( G ) . So, given i and j , we can determine from F ( G ) whether ( i , j ) ∈ E : search for a solution to either q ( u i u j , x , y ) = 0 or q ( u i + u j , x , y ) = 0. Russell Miller (CUNY) Completeness for Fields CUNY Logic Workshop 8 / 18

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