PIT for Weakly Dicomplemented Lattices L eonard Kwuida Institut f - - PowerPoint PPT Presentation

pit for weakly dicomplemented lattices
SMART_READER_LITE
LIVE PREVIEW

PIT for Weakly Dicomplemented Lattices L eonard Kwuida Institut f - - PowerPoint PPT Presentation

Outline PIT for Weakly Dicomplemented Lattices L eonard Kwuida Institut f ur Algebra, TU Dresden D-01062 Dresden kwuida@gmail.com http://kwuida.googlepages.com Pisa, June 1-7, 2008 Outline Outline Weakly dicomplemented lattices 1


slide-1
SLIDE 1

Outline

PIT for Weakly Dicomplemented Lattices

L´ eonard Kwuida

Institut f¨ ur Algebra, TU Dresden D-01062 Dresden kwuida@gmail.com http://kwuida.googlepages.com

Pisa, June 1-7, 2008

slide-2
SLIDE 2

Outline

Outline

1

Weakly dicomplemented lattices

2

Concept algebras

3

Prime Ideal Theorem

4

Conclusion

slide-3
SLIDE 3

Outline

Outline

1

Weakly dicomplemented lattices

2

Concept algebras

3

Prime Ideal Theorem

4

Conclusion

slide-4
SLIDE 4

Outline

Outline

1

Weakly dicomplemented lattices

2

Concept algebras

3

Prime Ideal Theorem

4

Conclusion

slide-5
SLIDE 5

Outline

Outline

1

Weakly dicomplemented lattices

2

Concept algebras

3

Prime Ideal Theorem

4

Conclusion

slide-6
SLIDE 6

Wdl Concept algebras Prime Ideal Theorem Conclusion

Motivation

Boolean aglebras vs Powerset algebras X a set. (P(X), ∩, ∪,c , X, ∅) powerset algebra. (B, ∧, ∨,′ , 0, 1) Boolean algebra. SB := all ultrafilters on B Endow SB with a topology having (Na)a∈B as basis, where Na := {U ∈ SB | a ∈ U}. CSB := clopen subsets of SB. B ∼ = CSB ≤ P(SB). (Stone) Problem: abstract vs concrete Weakly dicomplemeted lattices vs concept algebras What is the equational theory of concept algebras?

slide-7
SLIDE 7

Wdl Concept algebras Prime Ideal Theorem Conclusion

Motivation

Boolean aglebras vs Powerset algebras X a set. (P(X), ∩, ∪,c , X, ∅) powerset algebra. (B, ∧, ∨,′ , 0, 1) Boolean algebra. SB := all ultrafilters on B Endow SB with a topology having (Na)a∈B as basis, where Na := {U ∈ SB | a ∈ U}. CSB := clopen subsets of SB. B ∼ = CSB ≤ P(SB). (Stone) Problem: abstract vs concrete Weakly dicomplemeted lattices vs concept algebras What is the equational theory of concept algebras?

slide-8
SLIDE 8

Wdl Concept algebras Prime Ideal Theorem Conclusion

Motivation

Boolean aglebras vs Powerset algebras X a set. (P(X), ∩, ∪,c , X, ∅) powerset algebra. (B, ∧, ∨,′ , 0, 1) Boolean algebra. SB := all ultrafilters on B Endow SB with a topology having (Na)a∈B as basis, where Na := {U ∈ SB | a ∈ U}. CSB := clopen subsets of SB. B ∼ = CSB ≤ P(SB). (Stone) Problem: abstract vs concrete Weakly dicomplemeted lattices vs concept algebras What is the equational theory of concept algebras?

slide-9
SLIDE 9

Wdl Concept algebras Prime Ideal Theorem Conclusion

Definition and examples

Definition A weakly dicomplemented lattice is an algebra (L; ∧, ∨,△ ,▽ , 0, 1) of type (2, 2, 1, 1, 0, 0), where (L; ∧, ∨, 0, 1) is a bounded lattice and the equations (1) . . . (3′) hold. (1) x△△ ≤ x, (2) x ≤ y = ⇒ x△ ≥ y△, (3) (x ∧ y) ∨ (x ∧ y△) = x, (1’) x▽▽ ≥ x, (2’) x ≤ y = ⇒ x▽ ≥ y▽, (3’) (x ∨ y) ∧ (x ∨ y▽) = x.

△ is called a weak complementation, ▽ a dual weak

complementation and (△,▽ ) a weak dicomplementation.

slide-10
SLIDE 10

Wdl Concept algebras Prime Ideal Theorem Conclusion

Definition and examples

Boolean algebra: duplicate the complementation. (B, ∧, ∨,′ , 0, 1) ❀ (B, ∧, ∨,′ ,′ , 0, 1) pseudocomplemented (∗) and dual pseudocomplemeted (+) distributive lattices. (L, ∧, ∨,+ ,∗ , 0, 1). Bounded lattice: x = 1 = ⇒ x△ := 1 and x = 0 = ⇒ x▽ := 0. L finite lattice. G ⊇ J(L) and N ⊇ M(L) where J(L) is the set of join irreducible elements of L and M(L) its set of meet irreducible elements. For x ∈ L. Define x△ :=

  • {g ∈ G | g x} and x▽ :=
  • {n ∈ N | n x}
slide-11
SLIDE 11

Wdl Concept algebras Prime Ideal Theorem Conclusion

Definition and examples

Boolean algebra: duplicate the complementation. (B, ∧, ∨,′ , 0, 1) ❀ (B, ∧, ∨,′ ,′ , 0, 1) pseudocomplemented (∗) and dual pseudocomplemeted (+) distributive lattices. (L, ∧, ∨,+ ,∗ , 0, 1). Bounded lattice: x = 1 = ⇒ x△ := 1 and x = 0 = ⇒ x▽ := 0. L finite lattice. G ⊇ J(L) and N ⊇ M(L) where J(L) is the set of join irreducible elements of L and M(L) its set of meet irreducible elements. For x ∈ L. Define x△ :=

  • {g ∈ G | g x} and x▽ :=
  • {n ∈ N | n x}
slide-12
SLIDE 12

Wdl Concept algebras Prime Ideal Theorem Conclusion

Definition and examples

Boolean algebra: duplicate the complementation. (B, ∧, ∨,′ , 0, 1) ❀ (B, ∧, ∨,′ ,′ , 0, 1) pseudocomplemented (∗) and dual pseudocomplemeted (+) distributive lattices. (L, ∧, ∨,+ ,∗ , 0, 1). Bounded lattice: x = 1 = ⇒ x△ := 1 and x = 0 = ⇒ x▽ := 0. L finite lattice. G ⊇ J(L) and N ⊇ M(L) where J(L) is the set of join irreducible elements of L and M(L) its set of meet irreducible elements. For x ∈ L. Define x△ :=

  • {g ∈ G | g x} and x▽ :=
  • {n ∈ N | n x}
slide-13
SLIDE 13

Wdl Concept algebras Prime Ideal Theorem Conclusion

Definition and examples

Boolean algebra: duplicate the complementation. (B, ∧, ∨,′ , 0, 1) ❀ (B, ∧, ∨,′ ,′ , 0, 1) pseudocomplemented (∗) and dual pseudocomplemeted (+) distributive lattices. (L, ∧, ∨,+ ,∗ , 0, 1). Bounded lattice: x = 1 = ⇒ x△ := 1 and x = 0 = ⇒ x▽ := 0. L finite lattice. G ⊇ J(L) and N ⊇ M(L) where J(L) is the set of join irreducible elements of L and M(L) its set of meet irreducible elements. For x ∈ L. Define x△ :=

  • {g ∈ G | g x} and x▽ :=
  • {n ∈ N | n x}
slide-14
SLIDE 14

Wdl Concept algebras Prime Ideal Theorem Conclusion

Contexts and concepts

Formal context :=(G, M, I) with I ⊆ G × M. G :≡ set of objects and M :≡ set of attributes.

  • Derivation. A ⊆ G and B ⊆ M.

A′ := {m ∈ M | ∀g ∈ A gIm} B′ := {g ∈ G | ∀m ∈ B gIm}. Formal concept := a pair (A, B) with A′ = B and B′ = A. A :≡ extent of (A, B) and B :≡ intent of (A, B). B(G, M, I) := set of all concepts of (G, M, I). Concept hierarchy (A, B) ≤ (C, D) : ⇐ ⇒ A ⊆ C ( ⇐ ⇒ D ⊆ B). B(G, M, I) := (B(G, M, I), ≤)

slide-15
SLIDE 15

Wdl Concept algebras Prime Ideal Theorem Conclusion

The Basic Theorem on Concept Lattices

Theorem B(G, M, I) is a complete lattice in which infimum and supremum are given by:

  • t∈T

(At, Bt) =

  • t∈T

At,

  • t∈T

Bt ′′

  • t∈T

(At, Bt) =

  • t∈T

At ′′ ,

  • t∈T

Bt

  • .

B(G, M, I) is called the concept lattice of the context (G, M, I).

slide-16
SLIDE 16

Wdl Concept algebras Prime Ideal Theorem Conclusion

The Basic Theorem on Concept Lattices

Theorem A complete lattice L is isomorphic to a concept lattice B(G, M, I) iff there are mappings ˜ γ : G → L and ˜ µ : M → L such that ˜ γ(G) is supremum-dense in L, ˜ µ(M) is infimum-dense in L and for all g ∈ G and m ∈ M gIm ⇐ ⇒ ˜ γ(g) ≤ ˜ µ(m). In particular L ∼ = B(L, L, ≤).

slide-17
SLIDE 17

Wdl Concept algebras Prime Ideal Theorem Conclusion

Some special contexts

Finite lattices L ∼ = B(J(L), M(L), ≤). Powerset algebras B(X, X, =) ∼ = PX. Distributive lattices B(P, P, ) ∼ = O(P, ≤).

slide-18
SLIDE 18

Wdl Concept algebras Prime Ideal Theorem Conclusion

Boolean Concept Logic

conjunction via meet disjunction via join negation ?Hmmm! Weak Negation (A, B)△ :=

  • (G \ A)′′ , (G \ A)′

Weak opposition (A, B)▽ :=

  • (M \ B)′ , (M \ B)′′

. x ∨ x△ = 1 but x ∧ x△ can be different of 0; Definition The algebra A(K) := (B(K), ∧, ∨,△ ,▽ , 0, 1) is called the concept algebra of K.

slide-19
SLIDE 19

Wdl Concept algebras Prime Ideal Theorem Conclusion

Boolean Concept Logic

conjunction via meet disjunction via join negation ?Hmmm! Weak Negation (A, B)△ :=

  • (G \ A)′′ , (G \ A)′

Weak opposition (A, B)▽ :=

  • (M \ B)′ , (M \ B)′′

. x ∨ x△ = 1 but x ∧ x△ can be different of 0; Definition The algebra A(K) := (B(K), ∧, ∨,△ ,▽ , 0, 1) is called the concept algebra of K.

slide-20
SLIDE 20

Wdl Concept algebras Prime Ideal Theorem Conclusion

Concept algebras: some equations

1

x△ ≤ y ⇐ ⇒ y△ ≤ x,

2

(x ∧y)△△ ≤ x△△∧y△△,

3

x▽▽▽ = x▽ ≤ x△ = x△△△.

1

x▽ ≥ y ⇐ ⇒ y▽ ≥ x,

2

(x ∨ y)▽▽ ≥ x▽▽ ∨ y▽▽.

3

x△▽ ≤ x△△ ≤ x ≤ x▽▽ ≤ x▽△.

x → x△△ is an interior operator on L. x → x▽▽ is a closure operator on L. (1) x△△ ≤ x, (2) x ≤ y = ⇒ x△ ≥ y△, (3) (x ∧ y) ∨ (x ∧ y△) = x, (1’) x▽▽ ≥ x, (2’) x ≤ y = ⇒ x▽ ≥ y▽, (3’) (x ∨ y) ∧ (x ∨ y▽) = x. Axiomatization problem Find an axiomatization of concept algebras.

slide-21
SLIDE 21

Wdl Concept algebras Prime Ideal Theorem Conclusion

Concept algebras: some equations

1

x△ ≤ y ⇐ ⇒ y△ ≤ x,

2

(x ∧y)△△ ≤ x△△∧y△△,

3

x▽▽▽ = x▽ ≤ x△ = x△△△.

1

x▽ ≥ y ⇐ ⇒ y▽ ≥ x,

2

(x ∨ y)▽▽ ≥ x▽▽ ∨ y▽▽.

3

x△▽ ≤ x△△ ≤ x ≤ x▽▽ ≤ x▽△.

x → x△△ is an interior operator on L. x → x▽▽ is a closure operator on L. (1) x△△ ≤ x, (2) x ≤ y = ⇒ x△ ≥ y△, (3) (x ∧ y) ∨ (x ∧ y△) = x, (1’) x▽▽ ≥ x, (2’) x ≤ y = ⇒ x▽ ≥ y▽, (3’) (x ∨ y) ∧ (x ∨ y▽) = x. Axiomatization problem Find an axiomatization of concept algebras.

slide-22
SLIDE 22

Wdl Concept algebras Prime Ideal Theorem Conclusion

Representation problem

strong representation Describe weakly dicomplemented lattices that are isomorphic to the concept algebras. equational axiomatization Find a set of equations that generate the equational theory of concept algebras. concrete embedding Given a weakly dicomplemented lattice L, is there a context K(L) such that L can be embedded into the concept algebra of K(L)?

slide-23
SLIDE 23

Wdl Concept algebras Prime Ideal Theorem Conclusion

Representation problem

strong representation Describe weakly dicomplemented lattices that are isomorphic to the concept algebras. equational axiomatization Find a set of equations that generate the equational theory of concept algebras. concrete embedding Given a weakly dicomplemented lattice L, is there a context K(L) such that L can be embedded into the concept algebra of K(L)?

slide-24
SLIDE 24

Wdl Concept algebras Prime Ideal Theorem Conclusion

Representation problem

strong representation Describe weakly dicomplemented lattices that are isomorphic to the concept algebras. equational axiomatization Find a set of equations that generate the equational theory of concept algebras. concrete embedding Given a weakly dicomplemented lattice L, is there a context K(L) such that L can be embedded into the concept algebra of K(L)?

slide-25
SLIDE 25

Wdl Concept algebras Prime Ideal Theorem Conclusion

Prime Ideal Theorem

Definition A primary filter is a proper filter F of L such that for all x ∈ L, x ∈ F or x△ ∈ F. A primary ideal is a proper ideal I of L such that for all x ∈ L, x ∈ F or x▽ ∈ I. Theorem (PIT) Let F a filter and I an ideal of L such that F ∩ I = ∅. Then there is a primary filter G containing F such that G ∩ I = ∅. Corollary (separation) If x ≤ y there is a primary filter G with x ∈ G and y / ∈ G.

slide-26
SLIDE 26

Wdl Concept algebras Prime Ideal Theorem Conclusion

Prime Ideal Theorem

Definition A primary filter is a proper filter F of L such that for all x ∈ L, x ∈ F or x△ ∈ F. A primary ideal is a proper ideal I of L such that for all x ∈ L, x ∈ F or x▽ ∈ I. Theorem (PIT) Let F a filter and I an ideal of L such that F ∩ I = ∅. Then there is a primary filter G containing F such that G ∩ I = ∅. Corollary (separation) If x ≤ y there is a primary filter G with x ∈ G and y / ∈ G.

slide-27
SLIDE 27

Wdl Concept algebras Prime Ideal Theorem Conclusion

Prime Ideal Theorem

Definition A primary filter is a proper filter F of L such that for all x ∈ L, x ∈ F or x△ ∈ F. A primary ideal is a proper ideal I of L such that for all x ∈ L, x ∈ F or x▽ ∈ I. Theorem (PIT) Let F a filter and I an ideal of L such that F ∩ I = ∅. Then there is a primary filter G containing F such that G ∩ I = ∅. Corollary (separation) If x ≤ y there is a primary filter G with x ∈ G and y / ∈ G.

slide-28
SLIDE 28

Wdl Concept algebras Prime Ideal Theorem Conclusion

Canonical context

Fpr(L) := set of primary filters of L Ipr(L) := set of primary ideals of L K(L) := (Fpr(L), Ipr(L), ∆) with F∆I : ⇐ ⇒ F ∩ I = ∅. Fx := {F ∈ Fpr(L) | x ∈ F} and Ix := {I ∈ Ipr(L) | x ∈ I}. Theorem The mapping ϕ : L → B(K(L)) x → (Fx, Ix) is a lattice embedding. F′

x = Ix and I′ x = Fx.

Fx∧y = Fx ∩ Fy and Ix∨y = Ix ∩ Iy.

slide-29
SLIDE 29

Wdl Concept algebras Prime Ideal Theorem Conclusion

Dreamlike embedding

Wdl embedding Is ϕ a weakly dicomplemented lattice embedding? What about the weak operations? Ix△ ⊆ (Fpr(L) \ Fx)′ Fx▽ ⊆ (Ipr(L) \ Ix)′ Thus ϕ(x▽) ≤ ϕ(x)▽ ≤ ϕ(x)△ ≤ ϕ(x△). Where is the problem? Let I be a primary ideal such that I ∋ x△. If x / ∈ I but x△ ∈ Ideal(I ∪ {x ∧ x△}), is there a primary filter F such that x / ∈ F and F ∩ I = ∅?

slide-30
SLIDE 30

Wdl Concept algebras Prime Ideal Theorem Conclusion

Dreamlike embedding

Wdl embedding Is ϕ a weakly dicomplemented lattice embedding? What about the weak operations? Ix△ ⊆ (Fpr(L) \ Fx)′ Fx▽ ⊆ (Ipr(L) \ Ix)′ Thus ϕ(x▽) ≤ ϕ(x)▽ ≤ ϕ(x)△ ≤ ϕ(x△). Where is the problem? Let I be a primary ideal such that I ∋ x△. If x / ∈ I but x△ ∈ Ideal(I ∪ {x ∧ x△}), is there a primary filter F such that x / ∈ F and F ∩ I = ∅?

slide-31
SLIDE 31

Wdl Concept algebras Prime Ideal Theorem Conclusion

Dreamlike embedding

Wdl embedding Is ϕ a weakly dicomplemented lattice embedding? What about the weak operations? Ix△ ⊆ (Fpr(L) \ Fx)′ Fx▽ ⊆ (Ipr(L) \ Ix)′ Thus ϕ(x▽) ≤ ϕ(x)▽ ≤ ϕ(x)△ ≤ ϕ(x△). Where is the problem? Let I be a primary ideal such that I ∋ x△. If x / ∈ I but x△ ∈ Ideal(I ∪ {x ∧ x△}), is there a primary filter F such that x / ∈ F and F ∩ I = ∅?

slide-32
SLIDE 32

Wdl Concept algebras Prime Ideal Theorem Conclusion

Illustration

x△ = s r 1 z = c△ = r △ t a b t△ = c v u w y x = s△ d e = x ∧ x△

slide-33
SLIDE 33

Wdl Concept algebras Prime Ideal Theorem Conclusion

Conjecture: strong separation Let I be a primary ideal such that I ∋ x△. Assume that I ∋ x and x△ ∈ Ideal(I ∪ {x ∧ x△}). Then there is a primary filter F ∋ x such that F ∩ I = ∅. L is a Boolean algebra ϕ is an embedding. A(K

△ ▽(L)) is a complete and atomic Boolean algebra.

A(K

△ ▽(L)) is isomorphic to P(Fpr(L)).

i.e. New proof of: “every Boolean algebra is a field of sets”

slide-34
SLIDE 34

Wdl Concept algebras Prime Ideal Theorem Conclusion

Conjecture: strong separation Let I be a primary ideal such that I ∋ x△. Assume that I ∋ x and x△ ∈ Ideal(I ∪ {x ∧ x△}). Then there is a primary filter F ∋ x such that F ∩ I = ∅. L is a Boolean algebra ϕ is an embedding. A(K

△ ▽(L)) is a complete and atomic Boolean algebra.

A(K

△ ▽(L)) is isomorphic to P(Fpr(L)).

i.e. New proof of: “every Boolean algebra is a field of sets”

slide-35
SLIDE 35

Wdl Concept algebras Prime Ideal Theorem Conclusion

L is a finite and distributive lattice: solved But the proof uses combinatorial arguments and is based on a different approach. L is a finite lattice: open (primary) filters are principal and generated by (∨-primary) elements: {a ∈ L | a ≤ x or a ≤ x△ ∀x ∈ L}. (primary) ideals are principal and generated by (∧-primary) elements: {a ∈ L | a ≥ x or a ≥ x▽ ∀x ∈ L}. ϕ is a bijection. ϕ(x) ≡ ({a ≤ x | a ∨-primary}, {b ≥ x | a ∧-primary}). L is a distributive lattice: open

slide-36
SLIDE 36

Wdl Concept algebras Prime Ideal Theorem Conclusion

L is a finite and distributive lattice: solved But the proof uses combinatorial arguments and is based on a different approach. L is a finite lattice: open (primary) filters are principal and generated by (∨-primary) elements: {a ∈ L | a ≤ x or a ≤ x△ ∀x ∈ L}. (primary) ideals are principal and generated by (∧-primary) elements: {a ∈ L | a ≥ x or a ≥ x▽ ∀x ∈ L}. ϕ is a bijection. ϕ(x) ≡ ({a ≤ x | a ∨-primary}, {b ≥ x | a ∧-primary}). L is a distributive lattice: open

slide-37
SLIDE 37

Wdl Concept algebras Prime Ideal Theorem Conclusion

L is a finite and distributive lattice: solved But the proof uses combinatorial arguments and is based on a different approach. L is a finite lattice: open (primary) filters are principal and generated by (∨-primary) elements: {a ∈ L | a ≤ x or a ≤ x△ ∀x ∈ L}. (primary) ideals are principal and generated by (∧-primary) elements: {a ∈ L | a ≥ x or a ≥ x▽ ∀x ∈ L}. ϕ is a bijection. ϕ(x) ≡ ({a ≤ x | a ∨-primary}, {b ≥ x | a ∧-primary}). L is a distributive lattice: open

slide-38
SLIDE 38

Wdl Concept algebras Prime Ideal Theorem Conclusion

L is a finite and distributive lattice: solved But the proof uses combinatorial arguments and is based on a different approach. L is a finite lattice: open (primary) filters are principal and generated by (∨-primary) elements: {a ∈ L | a ≤ x or a ≤ x△ ∀x ∈ L}. (primary) ideals are principal and generated by (∧-primary) elements: {a ∈ L | a ≥ x or a ≥ x▽ ∀x ∈ L}. ϕ is a bijection. ϕ(x) ≡ ({a ≤ x | a ∨-primary}, {b ≥ x | a ∧-primary}). L is a distributive lattice: open

slide-39
SLIDE 39

Wdl Concept algebras Prime Ideal Theorem Conclusion

Conclusion

From finite distributive to finite/distributive. Impact of the properties of L on A(K(L)). Topological representations Duality

Thanks for your attention!

slide-40
SLIDE 40

Wdl Concept algebras Prime Ideal Theorem Conclusion

Conclusion

From finite distributive to finite/distributive. Impact of the properties of L on A(K(L)). Topological representations Duality

Thanks for your attention!