Maximal element

Definition

Let ( P , ≤ ) be a partially ordered set and S ⊂ P . Then m ∈ S is a maximal element of S if

for all s ∈ S , m ≤ s implies m = s .

The definition for minimal elements is obtained by using ≥ instead of ≤.

Existence and uniqueness

Maximal elements need not exist.

Example 1: Let S = [1,∞) ⊂ ℝ, for all m∈S we have s=m+1∈S but m<s (that is, m≤s but not m=s). Example 2: Let S = {s∈ℚ: 1≤s²≤2} ⊂ ℚ and recall that 2 ∉ℚ.

In general ≤ is only a partial order on S. If m is a maximal element and s∈S, it remains the possibility that neither s≤m nor m≤s. This leaves open the possibility that there are many maximal elements.

Example 3: In the fence a₁ < b₁ > a₂ < b₂ > a₃ < b₃ > ..., all the a_i are minimal, and all the b_i are maximal, see picture. Example 4: Let A be a set with at least two elements and let S={{a}: a∈A} be the subset of the power set P(A) consisting of singletons, partially ordered by ⊂. This is the discrete poset—no two elements are comparable—and thus every element {a}∈S is maximal (and minimal) and for any distinct a‘,a‘‘ neither {a‘} ⊂ {a‘‘} nor {a‘‘} ⊂ {a‘}.

Maximal elements and the greatest element

It looks like m should be a greatest element or maximum but in fact it is not necessarily the case: the definition of maximal element is somewhat weaker. Suppose we find s ∈ S with max S ≤ s , then, by the definition of greatest element, s ≤ max S so that s = max S . In other words, a maximum, if it exists, is the (unique) maximal element.

The converse is not true: there can be maximal elements despite there being no maximum. Example 3 is an instance of existence of many maximal elements and no maximum. The reason is, again, that in general ≤ is only a partial order on S . If m is a maximal element and s ∈ S , it remains the possibility that neither s ≤ m nor m ≤ s .

If there are many maximal elements, they are in some contexts called a frontier, as in the Pareto frontier.

Of course, when the restriction of ≤ to S is a total order, the notions of maximal element and greatest element coincide. Let m ∈ S be a maximal element, for any s ∈ S either s ≤ m or m ≤ s . In the second case the definition of maximal element requires m = s so we conclude that s ≤ m . In other words, m is a greatest element.

Finally, let us remark that S being totally ordered is sufficient to ensure that a maximal element is a greatest element, but it is not necessary. For example, every power set P(S) of a set S has only one maximal element, viz. S itself, which is also the unique greatest element; but almost no power set is totally ordered, cf. picture.

Directed sets

In a totally ordered set, the terms maximal element and greatest element coincide, which is why both terms are used interchangeably in fields like analysis where only total orders are considered. This observation applies not only to totally ordered subsets of any poset, but also to their order theoretic generalization via directed sets. In a directed set, every pair of elements (particularly pairs of incomparable elements) has a common upper bound within the set. Any maximal element of such a subset will be unique (unlike in a poset). Furthermore, this unique maximal element will also be the greatest element.

Similar conclusions are true for minimal elements.

Further introductory information is found in the article on order theory.

Examples

In Pareto efficiency, a Pareto optimal is a maximal element with respect to the partial order of Pareto improvement, and the set of maximal elements is called the Pareto frontier.

In decision theory, an admissible decision rule is a maximal element with respect to the partial order of dominating decision rule.

In modern portfolio theory, the set of maximal elements with respect to the product order on risk and return is called the efficient frontier.

In set theory, a set is finite if and only if every non-empty family of subsets has a minimal element when ordered by the inclusion relation.

In abstract algebra, the concept of a maximal common divisor is needed to generalize greatest common divisors to number systems in which the common divisors of a set of elements may have more than one maximal element.

In computational geometry, the maxima of a point set are maximal with respect to the partial order of coordinatewise domination.

Consumer theory

In economics, one may relax the axiom of antisymmetry, using preorders (generally total preorders) instead of partial orders; the notion analogous to maximal element is very similar, but different terminology is used, as detailed below.

In consumer theory the consumption space is some set X , usually the positive orthant of some vector space so that each x ∈ X represents a quantity of consumption specified for each existing commodity in the economy. Preferences of a consumer are usually represented by a total preorder ⪯ so that x , y ∈ X and x ⪯ y reads: x is at most as preferred as y . When x ⪯ y and y ⪯ x it is interpreted that the consumer is indifferent between x and y but is no reason to conclude that x = y , preference relations are never assumed to be antisymmetric. In this context, for any B ⊂ X , we call x ∈ B a maximal element if

y ∈ B implies y ⪯ x

and it is interpreted as a consumption bundle that is not dominated by any other bundle in the sense that x ≺ y , that is x ⪯ y and not y ⪯ x .

It should be remarked that the formal definition looks very much like that of a greatest element for an ordered set. However, when ⪯ is only a preorder, an element x with the property above behaves very much like a maximal element in an ordering. For instance, a maximal element x ∈ B is not unique for y ⪯ x does not preclude the possibility that x ⪯ y (while y ⪯ x and x ⪯ y do not imply x = y but simply indifference x ∼ y ). The notion of greatest element for a preference preorder would be that of most preferred choice. That is, some x ∈ B with

y ∈ B implies y ≺ x .

An obvious application is to the definition of demand correspondence. Let P be the class of functionals on X . An element p ∈ P is called a price functional or price system and maps every consumption bundle x ∈ X into its market value p ( x ) ∈ R + . The budget correspondence is a correspondence Γ : P × R + → X mapping any price system and any level of income into a subset

Γ ( p , m ) = { x ∈ X ∣ p ( x ) ≤ m } .

The demand correspondence maps any price p and any level of income m into the set of ⪯ -maximal elements of Γ ( p , m ) .

D ( p , m ) = { x ∈ X ∣ x is a maximal element of Γ ( p , m ) } .

It is called demand correspondence because the theory predicts that for p and m given, the rational choice of a consumer x ∗ will be some element x ∗ ∈ D ( p , m ) .

Related notions

A subset Q of a partially ordered set P is said to be cofinal if for every x ∈ P there exists some y ∈ Q such that x ≤ y . Every cofinal subset of a partially ordered set with maximal elements must contain all maximal elements.

A subset L of a partially ordered set P is said to be a lower set of P if it is downward closed: if y ∈ L and x ≤ y then x ∈ L . Every lower set L of a finite ordered set P is equal to the smallest lower set containing all maximal elements of L .