abstract characterisation of varieties and quasivarieties
play

Abstract characterisation of varieties and quasivarieties of ordered - PowerPoint PPT Presentation

Introduction Regularity & Exactness Abstract characterisation of varieties and quasivarieties of ordered algebras Ji r Velebil Czech Technical University in Prague joint work with Alexander Kurz University of Leicester, UK AK


  1. Introduction Regularity & Exactness Abstract characterisation of varieties and quasivarieties of ordered algebras Jiˇ r´ ı Velebil Czech Technical University in Prague joint work with Alexander Kurz University of Leicester, UK AK & JV CMAT, Coimbra, 24 January 2014 1/20

  2. Introduction Regularity & Exactness Recollection of Birkhoff’s Theorems (1935) Quasi/varieties as closed subclasses of algebras for a given fixed signature. Varieties = HSP classes. Quasivarieties = SP classes. Recognition Theorems (Linton/Lawvere/Duskin. . . 1960’s) Quasi/varieties are abstract categories with certain properties. Characterisations essentially of the form: A category A is equivalent to a quasivariety/variety of finitary one-sorted algebras iff A is regular/exact, cocomplete, and has a nice generator. a a I.e., an object that pretends to be a free algebra on one generator. AK & JV CMAT, Coimbra, 24 January 2014 2/20

  3. Introduction Regularity & Exactness What is regularity and exactness, roughly? Regularity: congruences correspond to quotients. Exactness: regularity + all congruences are nice. Why do recognition theorems hold? The base category Set is exact (and therefore regular). Regularity of Set: surjections correspond to equivalence 1 relations. Exactness of Set: every equivalence relation has the form 2 { ( x ′ , x ) | f ( x ′ ) = f ( x ) } for a suitable mapping f . More details in: M. Barr, P. A. Grillet, D. H. van Osdol, Exact categories and categories of sheaves , LNM 236, Springer 1971 AK & JV CMAT, Coimbra, 24 January 2014 3/20

  4. Introduction Regularity & Exactness The goal: Recognition theorems for ordered algebras We want to characterise quasi/varieties of ordered algebras as abstract categories. A plethora of problems in the ordered world What do we mean by an ordered algebra? 1 What are quasi/varieties of ordered algebras? 2 Are there Birkhoff-type theorems? 3 Can one use ordinary regularity and exactness? 4 NO: The (ordinary) category of posets and monotone mappings is not exact (in the sense of M. Barr). What are abstract congruences in the ordered world? 5 AK & JV CMAT, Coimbra, 24 January 2014 4/20

  5. Introduction Regularity & Exactness Example (Kleene algebras) A Kleene algebra A consists of a poset ( A 0 , ≤ ), together with monotone operations + , · : ( A 0 , ≤ ) × ( A 0 , ≤ ) → ( A 0 , ≤ ) , 0 , 1 : 1 → ( A 0 , ≤ ) , ( − ) ∗ : ( A 0 , ≤ ) → ( A 0 , ≤ ) subject to axioms that (( A 0 , ≤ ) , 0 , 1 , + , · ) is an ordered semiring and such that a x + x = x , 1 + x ( x ∗ ) ≤ x ∗ , 1 + ( x ∗ ) x ≤ x ∗ , yx ≤ x ⇒ ( y ∗ ) x ≤ x , xy ≤ x ⇒ x ( y ∗ ) ≤ x holds. Homomorphisms are monotone maps preserving the operations. a Intuition: x ∗ = � ∞ i =0 x i , had such infinite sums existed. AK & JV CMAT, Coimbra, 24 January 2014 5/20

  6. Introduction Regularity & Exactness Example (nice, but quite disturbing) A set A is a poset ( A 0 , ≤ ) together with no operations subject to axiom x ≤ y ⇒ y ≤ x Homomorphisms are monotone maps preserving the operations. By the above, sets seem to form an ordered quasivariety. 1 But: sets seem to form an ordered variety if “strange” arities 2 are allowed: Σ 2 = { σ 0 ≤ σ 1 } Here 2 is the two-element chain. Indeed, consider the equalities: σ 0 ( x , y ) = y , σ 1 ( x , y ) = x AK & JV CMAT, Coimbra, 24 January 2014 6/20

  7. Introduction Regularity & Exactness We restrict ourselves to the easier situation The base category for ordered algebras: the category Pos of 1 all posets and all monotone maps. We pass from ordinary categories and functors to category 2 theory enriched over Pos. X a category = hom-sets are posets, composition is 1 monotone. F : X → Y a functor = it is a locally monotone functor (the 2 action on arrows is monotone). Nice signatures that have only operations of nice arities: a 3 bounded signature is a functor Σ : | Set λ | → Pos, where λ is a regular cardinal. Here, Σ n is the poset of all n -ary operations, n < λ . AK & JV CMAT, Coimbra, 24 January 2014 7/20

  8. Introduction Regularity & Exactness Algebras and homomorphisms An ordered algebra for Σ is a poset A , together with a monotone ] : A n → A , for every σ in Σ n , n < λ . map [ [ σ ] Moreover, [ [ σ ] ] ≤ [ [ τ ] ] holds pointwise, whenever σ ≤ τ in the poset Σ n . A homomorphism from ( A , [ [ − ] ]) to ( B , [ [ − ] ]) is a monotone map h : A → B such that h ([ [ σ ] ]( a i )) = [ [ σ ] ]( h ( a i )) holds for all σ in Σ n . The category of ordered algebras and homomorphisms All algebras for Σ and all homorphisms form a category Alg(Σ). There is a (locally monotone) functor U : Alg(Σ) → Pos. AK & JV CMAT, Coimbra, 24 January 2014 8/20

  9. Introduction Regularity & Exactness Ordered quasi/varieties (Steve Bloom & Jesse Wright) An (enriched) category A , equivalent to a full subcategory of Alg(Σ), spanned by algebras satisfying inequalities of the form s ( x i ) ⊑ t ( y j ) is called an ordered variety. If A is equivalent to a full subcategory of Alg(Σ), spanned by algebras satisfying inequality-implications of the form � ( s j ( x ji ) ⊑ t j ( y ji )) ⇒ s ( x i ) ⊑ t ( y j ) j then it is called an ordered quasivariety. AK & JV CMAT, Coimbra, 24 January 2014 9/20

  10. Introduction Regularity & Exactness Steve Bloom & Jesse Wright, 1976 and 1983 A is an ordered variety iff it is an HSP-class in Alg(Σ). A is an ordered quasivariety iff it is an SP-class in Alg(Σ). Notice: H means “monotone surjections”, S means “monotone maps reflecting the order”, P means “order-enriched products”. AK & JV CMAT, Coimbra, 24 January 2014 10/20

  11. Introduction Regularity & Exactness Main results A is an ordered variety iff it is exact, cocomplete and has a 1 nice generator. a A is an ordered quasivariety iff it is regular, cocomplete and 2 has a nice generator. a A is equivalent to a variety of one-sorted finitary algebras iif 3 A ≃ Pos T for a strongly finitary b monad T on Pos. Moreover: Th( T ) → Pos T is a free cocompletion under sifted colimits, where Th( T ) — the theory of T — is the full subactegory of Kl( T ) spanned by free algebras on finite discrete posets. Regularity & exactness must be taken in the enriched sense. a In the one-sorted case: an object that pretends to be a free algebra on one generator. b Strongly finitary = preserves (enriched) sifted colimits. A sifted colimit is one weighted by a sifted weight. AK & JV CMAT, Coimbra, 24 January 2014 11/20

  12. Introduction Regularity & Exactness Convention All categories, functors, etc. from now on are enriched in the symmetric monoidal closed category Pos of posets and monotone maps. a a Analogous notions/results can be stated for the enrichment in Cat — this is essentially only more technical. But it certainly yields more applications. Regularity and exactness of a category X We need: Finite (weighted) limits in X . a 1 A good factorisation ( E , M ) system in X . 2 A notion of a congruence and its quotient. 3 a A standard reference is: G. M. Kelly, Structures defined by finite limits in the enriched context I, Cahiers de Top. et G´ eom. Diff. XXIII.1 (1982), 3–42. AK & JV CMAT, Coimbra, 24 January 2014 12/20

  13. Introduction Regularity & Exactness The factorisation system The “monos”: Say m : X → Y in X is order-reflecting (it is 1 in M ), if the monotone map X ( Z , m ) : X ( Z , X ) → X ( Z , Y ) reflects orders in Pos. Hence, m : X → Y has to satisfy: m · x ≤ m · y in X ( Z , Y ) implies x ≤ y in X ( Z , X ) for every x , y : Z → X . The “epis” (members of E ): via diagonalisation. They are 2 called surjective on objects. AK & JV CMAT, Coimbra, 24 January 2014 13/20

  14. � � � � Introduction Regularity & Exactness Congruences: a very rough idea Replace = in X 1 = { ( x ′ , x ) | f ( x ′ ) = f ( x ) } where f : X 0 → Z is a map, by ≤ to obtain X 1 = { ( x ′ , x ) | f ( x ′ ) ≤ f ( x ) } where f : X 0 → Z is a monotone map. This could work nicely for “kernels” of monotone maps. What are the abstract properties of X 1 ? Most certainly, we are dealing with spans x ′ X 0 ✯ d 1 d 1 ( x ′ , x ) X 1 ✔ d 0 X 0 x d 0 of monotone maps. AK & JV CMAT, Coimbra, 24 January 2014 14/20

  15. � � � Introduction Regularity & Exactness A somewhat better intuition behind a congruence In a congruence on X 0 , one deals with formal squares of the form x ′ x ✕ � y y ′ ✕ where: The vertices are “objects” of X 0 . 1 The horizontal arrows are “specified inequalities”: objects of 2 X 1 . The vertical arrows are “existing inequalities” in X 0 : they give 3 the order in X 1 . The specified and existing inequalities interact nicely: 4 “path-lifting property” (discrete fibration in X ). The squares can be pasted both horizontally and vertically 5 with no ambiguity (category object in X ). AK & JV CMAT, Coimbra, 24 January 2014 15/20

  16. � � � � Introduction Regularity & Exactness Definition A congruence in X is a diagram d 2 d 1 2 1 X 2 d 2 � X 1 i 0 � X 0 1 0 d 2 d 1 0 0 such that It is an internal category in X . 1 The span ( d 1 0 , X 1 , d 1 1 ) is a two-sided discrete fibration. 2 The morphism � d 1 0 , d 1 1 � : X 1 → X 0 × X 0 is an M -morphism. 3 The quotient of the above congruence is a coinserter q : X 0 → Q of the pair d 1 0 , d 1 1 . AK & JV CMAT, Coimbra, 24 January 2014 16/20

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend