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WORDS03 (Turku, September 11, 2003) Reflexive relations, extensive - PowerPoint PPT Presentation

WORDS03 (Turku, September 11, 2003) Reflexive relations, extensive transformations and piecewise testable languages of a given height Dedicated to Imre Simon on the occasion of his 60th birthday Mikhail Volkov Ural State University,


  1. Syntactic Monoids For a language its syntactic congruence is defined by if, for any Thus, and occur in in the same contexts. One can check that is the largest congruence on for which is a union of classes. The quotient monoid is called the syntactic monoid of the language . For a regular language , the syntactic monoid can be also defined as the transition monoid of the minimal automaton of . Turku – p.9/36

  2. Syntactic Monoids Rather than formal definitions from the previous slide, the following crucial ideas are to be understood: Turku – p.10/36

  3. Syntactic Monoids Rather than formal definitions from the previous slide, the following crucial ideas are to be understood: For a regular language , its syntactic monoid is always finite (and vice versa) — this is Myhill’s form of Kleene’s theorem. Turku – p.10/36

  4. Syntactic Monoids Rather than formal definitions from the previous slide, the following crucial ideas are to be understood: For a regular language , its syntactic monoid is always finite (and vice versa) — this is Myhill’s form of Kleene’s theorem. The syntactic monoid can be efficiently calculated whenever is efficiently presented — say, by a regular expression or by a finite automaton. Turku – p.10/36

  5. Syntactic Monoids Rather than formal definitions from the previous slide, the following crucial ideas are to be understood: For a regular language , its syntactic monoid is always finite (and vice versa) — this is Myhill’s form of Kleene’s theorem. The syntactic monoid can be efficiently calculated whenever is efficiently presented — say, by a regular expression or by a finite automaton. Thus, whenever is “given”, so is . Turku – p.10/36

  6. Simon’s Theorem A monoid is said to be - trivial if every principal ideal of has a unique generator: Turku – p.11/36

  7. Simon’s Theorem A monoid is said to be - trivial if every principal ideal of has a unique generator: In different terms, being -trivial amounts to saying that the ( bilateral ) divisibility relation is an order relation on . Turku – p.11/36

  8. Simon’s Theorem A monoid is said to be - trivial if every principal ideal of has a unique generator: In different terms, being -trivial amounts to saying that the ( bilateral ) divisibility relation is an order relation on . Theorem 1. (Imre Simon, 1972) A language is piecewise testable if and only if its syntactic monoid is -trivial. Turku – p.11/36

  9. Simon’s Theorem Nice: relates a very natural combinatorial property to a very natural semigroup-theoretic property. Turku – p.12/36

  10. Simon’s Theorem Nice: relates a very natural combinatorial property to a very natural semigroup-theoretic property. Efficient: given a monoid (by its Cayley table, say), one can easily (in time ) verify whether or not is -trivial. Turku – p.12/36

  11. Simon’s Theorem Nice: relates a very natural combinatorial property to a very natural semigroup-theoretic property. Efficient: given a monoid (by its Cayley table, say), one can easily (in time ) verify whether or not is -trivial. Very efficient: There are polynomial time algorithms to verify if the syntactic monoid is -trivial when presented the minimal automaton of . Turku – p.12/36

  12. Simon’s Theorem Nice: relates a very natural combinatorial property to a very natural semigroup-theoretic property. Efficient: given a monoid (by its Cayley table, say), one can easily (in time ) verify whether or not is -trivial. Very efficient: There are polynomial time algorithms to verify if the syntactic monoid is -trivial when presented the minimal automaton of . Such a description of is much more compact than the Cayley table — recall that the transition monoid of an automaton with states may consist of as many as elements! Turku – p.12/36

  13. Simon vs. Schützenberger Compare with Schützenberger’s theorem (1966) that provides an algebraic characterization of star-free languages: a language can be defined by a star-free expression (that is, involving only Boolean operations and products but not Kleene’s star) if and only if the has only trivial subgroups . syntactic monoid Turku – p.13/36

  14. Simon vs. Schützenberger Compare with Schützenberger’s theorem (1966) that provides an algebraic characterization of star-free languages: a language can be defined by a star-free expression (that is, involving only Boolean operations and products but not Kleene’s star) if and only if the has only trivial subgroups . syntactic monoid Again a very natural language property is related to a natural semigroup property that can be verified in time . Turku – p.13/36

  15. Simon vs. Schützenberger Compare with Schützenberger’s theorem (1966) that provides an algebraic characterization of star-free languages: a language can be defined by a star-free expression (that is, involving only Boolean operations and products but not Kleene’s star) if and only if the has only trivial subgroups . syntactic monoid Again a very natural language property is related to a natural semigroup property that can be verified in time . On the other hand, the problem of deciding whether or not has only trivial subgroups from the minimal automaton of is PSPACE-complete! Turku – p.13/36

  16. Simon’s Theorem Deep: a crossing where many ideas meet. Turku – p.14/36

  17. Simon’s Theorem Deep: a crossing where many ideas meet. Proofs come from: Turku – p.14/36

  18. Simon’s Theorem Deep: a crossing where many ideas meet. Proofs come from: Combinatorics on words — Simon’s original proofs, 1972, 1975; Turku – p.14/36

  19. Simon’s Theorem Deep: a crossing where many ideas meet. Proofs come from: Combinatorics on words — Simon’s original proofs, 1972, 1975; Model theory — Stern, 1985; Turku – p.14/36

  20. Simon’s Theorem Deep: a crossing where many ideas meet. Proofs come from: Combinatorics on words — Simon’s original proofs, 1972, 1975; Model theory — Stern, 1985; Ordered monoids — Straubing and Thérien, 1988; Turku – p.14/36

  21. Simon’s Theorem Deep: a crossing where many ideas meet. Proofs come from: Combinatorics on words — Simon’s original proofs, 1972, 1975; Model theory — Stern, 1985; Ordered monoids — Straubing and Thérien, 1988; Profinite topology — Almeida, 1990; Turku – p.14/36

  22. Simon’s Theorem Deep: a crossing where many ideas meet. Proofs come from: Combinatorics on words — Simon’s original proofs, 1972, 1975; Model theory — Stern, 1985; Ordered monoids — Straubing and Thérien, 1988; Profinite topology — Almeida, 1990; Endomorphisms of linear orders — Higgins, 1997. Turku – p.14/36

  23. Simon vs. Eilenberg Simon’s theorem is an instance of the Eilenberg correspondence between varieties of recognizable languages and pseudovarieties of finite monoids. (A pseudovariety is a class of finite monoids closed under submonoids, morphic images and finite direct products.) Turku – p.15/36

  24. Simon vs. Eilenberg Simon’s theorem is an instance of the Eilenberg correspondence between varieties of recognizable languages and pseudovarieties of finite monoids. (A pseudovariety is a class of finite monoids closed under submonoids, morphic images and finite direct products.) This shouldn’t be understood as claiming Simon’s theorem be a consequence of Eilenberg’s theorem! Turku – p.15/36

  25. ✁ � Simon vs. Eilenberg Simon’s theorem is an instance of the Eilenberg correspondence between varieties of recognizable languages and pseudovarieties of finite monoids. (A pseudovariety is a class of finite monoids closed under submonoids, morphic images and finite direct products.) This shouldn’t be understood as claiming Simon’s theorem be a consequence of Eilenberg’s theorem! (Euler) vs. (Riemann) Euler’s result can be now written as but this is not a consequence of Riemann’s considerations. Turku – p.15/36

  26. Recognizing Height In terms of the Eilenberg correspondence Simon’s theorem means that the pseudovariety of all finite -trivial monoids and the variety of all piecewise testable languages correspond to each other. Turku – p.16/36

  27. Recognizing Height In terms of the Eilenberg correspondence Simon’s theorem means that the pseudovariety of all finite -trivial monoids and the variety of all piecewise testable languages correspond to each other. Let denote the pseudovariety of finite monoids that corresponds to the class of piecewise testable languages of height . We have — Simon’s hierarchy of -trivial monoids. Turku – p.16/36

  28. Recognizing Height Recall that by the definition is the pseudovariety generated by the syntactic monoids of languages from for all finite alphabets . Thus, the algebraic counterpart of Question 2 is the following: Turku – p.17/36

  29. Recognizing Height Recall that by the definition is the pseudovariety generated by the syntactic monoids of languages from for all finite alphabets . Thus, the algebraic counterpart of Question 2 is the following: Question 3. Given a finite monoid and a positive integer , how to determine whether or not belongs to ? Turku – p.17/36

  30. Recognizing Height Recall that by the definition is the pseudovariety generated by the syntactic monoids of languages from for all finite alphabets . Thus, the algebraic counterpart of Question 2 is the following: Question 3. Given a finite monoid and a positive integer , how to determine whether or not belongs to ? This is a typical instance of the PMP (Pseudovariety Membership Problem). The PMP has proved to systemat- ically arise whenever one translates a “real world” (com- puter science) question into algebra. Turku – p.17/36

  31. Straubing’s Theorem — the monoid of all reflexive binary relations on a set with elements. It can be thought of as the monoid of all matrices whose diagonal entries are 1 over the boolean semiring . Turku – p.18/36

  32. Straubing’s Theorem — the monoid of all reflexive binary relations on a set with elements. It can be thought of as the monoid of all matrices whose diagonal entries are 1 over the boolean semiring . — the submonoid of consisting of upper triangular matrices. Turku – p.18/36

  33. Straubing’s Theorem — the monoid of all reflexive binary relations on a set with elements. It can be thought of as the monoid of all matrices whose diagonal entries are 1 over the boolean semiring . — the submonoid of consisting of upper triangular matrices. — the monoid of all order preserving and extensive transformations of a chain with elements. Turku – p.18/36

  34. Straubing’s Theorem — the monoid of all reflexive binary relations on a set with elements. It can be thought of as the monoid of all matrices whose diagonal entries are 1 over the boolean semiring . — the submonoid of consisting of upper triangular matrices. — the monoid of all order preserving and extensive transformations of a chain with elements. A transformation of a chain is order preserving if implies for all and extensive if for every . Turku – p.18/36

  35. Straubing’s Theorem Theorem 2. (Howard Straubing, 1980) For a finite monoid the following are equivalent: Turku – p.19/36

  36. Straubing’s Theorem Theorem 2. (Howard Straubing, 1980) For a finite monoid the following are equivalent: (i) is -trivial ; Turku – p.19/36

  37. Straubing’s Theorem Theorem 2. (Howard Straubing, 1980) For a finite monoid the following are equivalent: (i) is -trivial ; (ii) divides (is a morphic image of a submonoid of) for some ; Turku – p.19/36

  38. Straubing’s Theorem Theorem 2. (Howard Straubing, 1980) For a finite monoid the following are equivalent: (i) is -trivial ; (ii) divides (is a morphic image of a submonoid of) for some ; (iii) divides for some ; Turku – p.19/36

  39. Straubing’s Theorem Theorem 2. (Howard Straubing, 1980) For a finite monoid the following are equivalent: (i) is -trivial ; (ii) divides (is a morphic image of a submonoid of) for some ; (iii) divides for some ; (iv) divides for some . Turku – p.19/36

  40. Straubing’s Theorem Theorem 2. (Howard Straubing, 1980) For a finite monoid the following are equivalent: (i) is -trivial ; (ii) divides (is a morphic image of a submonoid of) for some ; (iii) divides for some ; (iv) divides for some . This looks as a quite innocent Cayley-type theorem but in fact the proof heavily depends on Simon’s theorem, and moreover, it can be shown relatively easily that the two theorems are equivalent. Turku – p.19/36

  41. Straubing’s Theorem Corollary. Each of the three sequences , and ( ) generates the pseudovariety of all finite -trivial monoids. Turku – p.20/36

  42. Straubing’s Theorem Corollary. Each of the three sequences , and ( ) generates the pseudovariety of all finite -trivial monoids. We thus have four stratifications for : Turku – p.20/36

  43. Straubing’s Theorem Corollary. Each of the three sequences , and ( ) generates the pseudovariety of all finite -trivial monoids. We thus have four stratifications for : Turku – p.20/36

  44. Straubing’s Theorem: a Refinement Surprisingly enough, the four stratifications coincide: Turku – p.21/36

  45. Straubing’s Theorem: a Refinement Surprisingly enough, the four stratifications coincide: Theorem 3. ( , 2003) For every , each of the monoids , , generates the pseudovariety . Turku – p.21/36

  46. Straubing’s Theorem: a Refinement Surprisingly enough, the four stratifications coincide: Theorem 3. ( , 2003) For every , each of the monoids , , generates the pseudovariety . Thus, for each the pseudovariety is generated by a single finite monoid. It easily follows from some basic universal algebra that the PMP for a (pseudo)variety generated by a single finite algebra is always decidable. Turku – p.21/36

  47. Straubing’s Theorem: a Refinement Surprisingly enough, the four stratifications coincide: Theorem 3. ( , 2003) For every , each of the monoids , , generates the pseudovariety . Thus, for each the pseudovariety is generated by a single finite monoid. It easily follows from some basic universal algebra that the PMP for a (pseudo)variety generated by a single finite algebra is always decidable. Corollary. (Jean-Eric Pin, 1984) For each , the membership problem for the pseudovariety is decidable, and hence, given a piecewise testable language, its height can be algorithmically determined. Turku – p.21/36

  48. Theorem 3: Transformations By now we have seen how identities come into the play. But where do relations and transformations come from? Turku – p.22/36

  49. Theorem 3: Transformations By now we have seen how identities come into the play. But where do relations and transformations come from? Consider , quite a typical piece- wise testable language, and build a deterministic finite au- tomaton that recognizes . Turku – p.22/36

  50. Theorem 3: Transformations By now we have seen how identities come into the play. But where do relations and transformations come from? Consider , quite a typical piece- wise testable language, and build a deterministic finite au- tomaton that recognizes . Turku – p.22/36

  51. Theorem 3: Transformations By now we have seen how identities come into the play. But where do relations and transformations come from? Consider , quite a typical piece- wise testable language, and build a deterministic finite au- tomaton that recognizes . Turku – p.22/36

  52. Theorem 3: Transformations By now we have seen how identities come into the play. But where do relations and transformations come from? Consider , quite a typical piece- wise testable language, and build a deterministic finite au- tomaton that recognizes . Turku – p.22/36

  53. Theorem 3: Transformations By now we have seen how identities come into the play. But where do relations and transformations come from? Consider , quite a typical piece- wise testable language, and build a deterministic finite au- tomaton that recognizes . Turku – p.22/36

  54. Theorem 3: Transformations By now we have seen how identities come into the play. But where do relations and transformations come from? Consider , quite a typical piece- wise testable language, and build a deterministic finite au- tomaton that recognizes . Turku – p.22/36

  55. Theorem 3: Transformations By now we have seen how identities come into the play. But where do relations and transformations come from? Consider , quite a typical piece- wise testable language, and build a deterministic finite au- tomaton that recognizes . Turku – p.22/36

  56. Theorem 3: Transformations By now we have seen how identities come into the play. But where do relations and transformations come from? Consider , quite a typical piece- wise testable language, and build a deterministic finite au- tomaton that recognizes . Turku – p.22/36

  57. Theorem 3: Transformations By now we have seen how identities come into the play. But where do relations and transformations come from? Consider , quite a typical piece- wise testable language, and build a deterministic finite au- tomaton that recognizes . Turku – p.22/36

  58. Theorem 3: transformations Now impose a linear order on the state set of the automaton we built: Turku – p.23/36

  59. Theorem 3: transformations Now impose a linear order on the state set of the automaton we built: Turku – p.23/36

  60. Theorem 3: transformations Now impose a linear order on the state set of the automaton we built: 1 2 3 4 Turku – p.23/36

  61. Theorem 3: transformations Now impose a linear order on the state set of the automaton we built: 1 2 3 4 It is easy to see that with respect to this order the trans- formation induced by the letters are order preserving and extensive. Turku – p.23/36

  62. Theorem 3: Transformations For instance, this is the one induced by : 1 2 3 4 Turku – p.24/36

  63. Theorem 3: Transformations For instance, this is the one induced by : 1 2 3 4 And this is the action of : 1 2 3 4 Turku – p.24/36

  64. Theorem 3: transformations We see that the transition monoid of the deterministic automaton recognizing our language consists of order preserving and extensive transformations of the chain , i.e. it is a submonoid in . Turku – p.25/36

  65. Theorem 3: transformations We see that the transition monoid of the deterministic automaton recognizing our language consists of order preserving and extensive transformations of the chain , i.e. it is a submonoid in . It should be clear that in general, when starting with the language , we end up in the monoid . Therefore the pseudovariety is con- tained in the pseudovariety . Turku – p.25/36

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