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,b∈L, there exists an infimum.
    2. For every pair a,b∈L, there exists a supremum.
  2. L is a bounded poset:
    1. There exists m∈L such that for every a∈L, m≤a. This element is unique and is denoted by 0.
    2. There exists M∈L such that for every a∈L, a≤M. 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 0,1∈L. 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,c∈L, (a∧b)∧c=a∧(b∧c) and (a∨b)∨c=a∨(b∨c).
    2. Commutativity: for all a,b∈L, a∧b=b∧a and a∨b=b∨a.
    3. Idempotence: for all a∈L, a∧a=a and a∨a=a.
    4. Absorption: for all a,b∈L, a∧(a∨b)=a and a∨(a∧b)=a.
  2. 0 and 1 are identity elements for ∨ and ∧, respectively:
    1. For all a∈L, a∨0=a.
    2. For all a∈L, a∧1=a.

Properties

  • In a bounded lattice (L,∧,∨,0,1), for every a∈L, one has a∧0=0.
  • In a bounded lattice (L,∧,∨,0,1), for every a∈L, one has a∨1=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′:={↓x∣x∈L}∪{∅,L}, a collection of subsets of L, where for each x∈L, ↓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:L→L′ 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 a∈L there exists b∈L such thata∧b=0 and a∨b=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 ℝ2, ordered by inclusion. This is a bounded lattice with minimum 0 and maximum ℝ2.
  • Let C be the set of all continuous functions from ℝ to the closed interval [0,1], ordered pointwise: f≤g if and only if f(x)≤g(x) for all x∈ℝ. 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 ℝ2, together with the empty set ∅ and the whole space ℝ2, 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 ℝ2 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.