Bounded lattice

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In mathematics, and in particular in order theory, a bounded lattice is a lattice that has a least element and a greatest element, usually denoted by 0 and 1, respectively.[1]

Bounded lattices are of considerable importance because many algebraic structures are bounded lattices, including complete lattices, Heyting algebras, Boolean algebras, and others.

Definition

A bounded lattice can be defined in two equivalent ways: via an order relation or algebraically. These two definitions can be shown to be equivalent.

Order-theoretic definition

Let (L,) be a partially ordered set. Then L is called a bounded lattice if and only if:

  1. L is a lattice with respect to the order relation:
    1. For every pair a,bL, there exists an infimum.
    2. For every pair a,bL, there exists a supremum.
  2. L is a bounded poset:
    1. There exists mL such that for every aL, ma. This element is unique and is denoted by 0.
    2. There exists ML such that for every aL, aM. This element is unique and is denoted by 1.

Algebraic definition

Let L be a set equipped with two binary operations and , and two distinguished elements 0,1L. Then L is called a bounded lattice if and only if the following conditions hold:

  1. L is a lattice with respect to and :
    1. Associativity: for all a,b,cL, (ab)c=a(bc) and (ab)c=a(bc).
    2. Commutativity: for all a,bL, ab=ba and ab=ba.
    3. Idempotence: for all aL, aa=a and aa=a.
    4. Absorption: for all a,bL, a(ab)=a and a(ab)=a.
  2. 0 and 1 are identity elements for and , respectively:
    1. For all aL, a0=a.
    2. For all aL, a1=a.

Properties

  • In a bounded lattice (L,,,0,1), for every aL, one has a0=0.
  • In a bounded lattice (L,,,0,1), for every aL, one has a1=1.

Bounding a lattice

Let (L,) be an arbitrary lattice. One may ask whether there exists a bounded lattice L into which L can be order-embedded.

Define L:={xxL}{,L}, a collection of subsets of L, where for each xL, x denotes the principal lower set generated by x. It can be shown that L, ordered by inclusion , is a bounded lattice. Define a function φ:LL by φ(x):=x. One can prove that φ is an order embedding.

The Dedekind–MacNeille completion proves a much stronger statement: every partially ordered set (not necessarily a lattice) can be embedded into a complete lattice (which is necessarily bounded).[2]

Complemented lattice

Let (L,,,0,1) be a bounded lattice. It is called a complemented lattice if and only if for every aL there exists bL such thatab=0 and ab=1.

In this case, b is called a complement of a. In contrast to a Boolean algebra, a complemented lattice may have more than one complement for a given element. Intuitively, a complement can be thought of as a negation of the element.

Examples

  • Every finite partially ordered set that is a lattice is a complete lattice, and hence a bounded lattice.
  • Every closed interval in the real line is a bounded lattice.
  • Let L be the collection of all vector subspaces of 2, ordered by inclusion. This is a bounded lattice with minimum 0 and maximum 2.
  • Let C be the set of all continuous functions from to the closed interval [0,1], ordered pointwise: fg if and only if f(x)g(x) for all x. Then (C,) is a lattice, since for any two functions one may take their pointwise minimum and maximum, which are again continuous. However, for an infinite family of continuous functions, this construction need not yield a continuous function. Hence, this lattice is not complete. It is bounded, since the constant functions m(x):=0 and M(x):=1 serve as global minimum and maximum.
  • Let P be the collection of all convex and closed polygons in 2, together with the empty set and the whole space 2, ordered by inclusion. This is a lattice because the intersection of two closed convex polygons is again a closed convex polygon, and the closure of the convex hull of their union is also a closed convex polygon. It is bounded, with as minimum and 2 as maximum. However, it is not complete: the family of all closed convex polygons contained in the unit disk has no supremum in this lattice, since their union is a circle, which is not a polygon.

References

  1. Grätzer, George (2011). Lattice Theory: Foundation. doi:10.1007/978-3-0348-0018-1. 
  2. Schröder, Bernd (2016). Ordered Sets. doi:10.1007/978-3-319-29788-0.