Semiorder

Last updated
The Hasse diagram of a semiorder. Two items are comparable when their vertical coordinates differ by at least one unit (the spacing between solid blue lines). Semiorder.svg
The Hasse diagram of a semiorder. Two items are comparable when their vertical coordinates differ by at least one unit (the spacing between solid blue lines).

In order theory, a branch of mathematics, a semiorder is a type of ordering for items with numerical scores, where items with widely differing scores are compared by their scores and where scores within a given margin of error are deemed incomparable. Semiorders were introduced and applied in mathematical psychology by DuncanLuce  ( 1956 ) as a model of human preference. They generalize strict weak orderings, in which items with equal scores may be tied but there is no margin of error. They are a special case of partial orders and of interval orders, and can be characterized among the partial orders by additional axioms, or by two forbidden four-item suborders.

Contents

Utility theory

The original motivation for introducing semiorders was to model human preferences without assuming that incomparability is a transitive relation. For instance, suppose that , , and represent three quantities of the same material, and that is larger than by the smallest amount that is perceptible as a difference, while is halfway between the two of them. Then, a person who desires more of the material would prefer to , but would not have a preference between the other two pairs. In this example, and are incomparable in the preference ordering, as are and , but and are comparable, so incomparability does not obey the transitive law. [1]

To model this mathematically, suppose that objects are given numerical utility values, by letting be any utility function that maps the objects to be compared (a set ) to real numbers. Set a numerical threshold (which may be normalized to 1) such that utilities within that threshold of each other are declared incomparable, and define a binary relation on the objects, by setting whenever . Then forms a semiorder. [2] If, instead, objects are declared comparable whenever their utilities differ, the result would be a strict weak ordering, for which incomparability of objects (based on equality of numbers) would be transitive. [1]

Axiomatics

Suborder 2.svg
Forbidden: two mutually incomparable two-point linear orders
Suborder 1.svg
Forbidden: three linearly ordered points and a fourth incomparable point

A semiorder, defined from a utility function as above, is a partially ordered set with the following two properties: [3]

Conversely, every finite partial order that avoids the two forbidden four-point orderings described above can be given utility values making it into a semiorder. [4] Therefore, rather than being a consequence of a definition in terms of utility, these forbidden orderings, or equivalent systems of axioms, can be taken as a combinatorial definition of semiorders. [5] If a semiorder on elements is given only in terms of the order relation between its pairs of elements, obeying these axioms, then it is possible to construct a utility function that represents the order in time , where the is an instance of big O notation. [6]

For orderings on infinite sets of elements, the orderings that can be defined by utility functions and the orderings that can be defined by forbidden four-point orders differ from each other. For instance, if a semiorder (as defined by forbidden orders) includes an uncountable totally ordered subset then there do not exist sufficiently many sufficiently well-spaced real-numbers for it to be representable by a utility function. Fishburn (1973) supplies a precise characterization of the semiorders that may be defined numerically. [7]

Relation to other kinds of order

Partial orders

One may define a partial order from a semiorder by declaring that whenever either or . Of the axioms that a partial order is required to obey, reflexivity () follows automatically from this definition. Antisymmetry (if and then ) follows from the first semiorder axiom. Transitivity (if and then ) follows from the second semiorder axiom. Therefore, the binary relation defined in this way meets the three requirements of a partial order that it be reflexive, antisymmetric, and transitive.

Conversely, suppose that is a partial order that has been constructed in this way from a semiorder. Then the semiorder may be recovered by declaring that whenever and . Not every partial order leads to a semiorder in this way, however: The first of the semiorder axioms listed above follows automatically from the axioms defining a partial order, but the others do not. A partial order that includes four elements forming two two-element chains would lead to a relation that violates the second semiorder axiom, and a partial order that includes four elements forming a three-element chain and an unrelated item would violate the third semiorder axiom (cf. pictures in section #Axiomatics).

Weak orders

Every strict weak ordering < is also a semi-order. More particularly, transitivity of < and transitivity of incomparability with respect to < together imply the above axiom 2, while transitivity of incomparability alone implies axiom 3. The semiorder shown in the top image is not a strict weak ordering, since the rightmost vertex is incomparable to its two closest left neighbors, but they are comparable.

Interval orders

The semiorder defined from a utility function may equivalently be defined as the interval order defined by the intervals , [8] so every semiorder is an example of an interval order. A relation is a semiorder if, and only if, it can be obtained as an interval order of unit length intervals .

Quasitransitive relations

According to Amartya K. Sen, [9] semi-orders were examined by Dean T. Jamison and Lawrence J. Lau [10] and found to be a special case of quasitransitive relations. In fact, every semiorder is quasitransitive, [11] and quasitransitivity is invariant to adding all pairs of incomparable items. [12] Removing all non-vertical red lines from the topmost image results in a Hasse diagram for a relation that is still quasitransitive, but violates both axiom 2 and 3; this relation might no longer be useful as a preference ordering.

Combinatorial enumeration

The number of distinct semiorders on unlabeled items is given by the Catalan numbers [13]

while the number of semiorders on labeled items is given by the sequence [14]

1, 1, 3, 19, 183, 2371, 38703, 763099, 17648823, ... (sequence A006531 in the OEIS)

Other results

Any finite semiorder has order dimension at most three. [15]

Among all partial orders with a fixed number of elements and a fixed number of comparable pairs, the partial orders that have the largest number of linear extensions are semiorders. [16]

Semiorders are known to obey the 1/3–2/3 conjecture: in any finite semiorder that is not a total order, there exists a pair of elements and such that appears earlier than in between 1/3 and 2/3 of the linear extensions of the semiorder. [3]

The set of semiorders on an -element set is well-graded: if two semiorders on the same set differ from each other by the addition or removal of order relations, then it is possible to find a path of steps from the first semiorder to the second one, in such a way that each step of the path adds or removes a single order relation and each intermediate state in the path is itself a semiorder. [17]

The incomparability graphs of semiorders are called indifference graphs, and are a special case of the interval graphs. [18]

Notes

  1. 1 2 Luce (1956), p. 179.
  2. Luce (1956), Theorem 3 describes a more general situation in which the threshold for comparability between two utilities is a function of the utility rather than being identically 1; however, this does not lead to a different class of orderings.
  3. 1 2 3 4 Brightwell (1989).
  4. This result is typically credited to Scott & Suppes (1958); see, e.g., Rabinovitch (1977).
  5. Luce (1956 , p. 181) used four axioms, the first two of which combine asymmetry and the definition of incomparability, while each of the remaining two is equivalent to one of the above prohibition properties.
  6. Avery (1992).
  7. Fishburn (1973).
  8. Fishburn (1970).
  9. Sen (1971 , Section 10, p. 314) Since Luce modelled indifference between x and y as "neither xRy nor yRx", while Sen modelled it as "both xRy and yRx", Sen's remark on p.314 is likely to mean the latter property.
  10. Jamison & Lau (1970).
  11. since it is transitive
  12. more general, to adding any symmetric relation
  13. Dean & Keller (1968); Kim & Roush (1978)
  14. Chandon, Lemaire & Pouget (1978).
  15. Rabinovitch (1978).
  16. Fishburn & Trotter (1992).
  17. Doignon & Falmagne (1997).
  18. Roberts (1969).

Related Research Articles

<span class="mw-page-title-main">Partially ordered set</span> Mathematical set with an ordering

In mathematics, especially order theory, a partial order on a set is an arrangement such that, for certain pairs of elements, one precedes the other. The word partial is used to indicate that not every pair of elements needs to be comparable; that is, there may be pairs for which neither element precedes the other. Partial orders thus generalize total orders, in which every pair is comparable.

<span class="mw-page-title-main">Preorder</span> Reflexive and transitive binary relation

In mathematics, especially in order theory, a preorder or quasiorder is a binary relation that is reflexive and transitive. Preorders are more general than equivalence relations and (non-strict) partial orders, both of which are special cases of a preorder: an antisymmetric preorder is a partial order, and a symmetric preorder is an equivalence relation.

In mathematics, a total order or linear order is a partial order in which any two elements are comparable. That is, a total order is a binary relation on some set , which satisfies the following for all and in :

  1. (reflexive).
  2. If and then (transitive).
  3. If and then (antisymmetric).
  4. or .

In mathematics, a binary relation R on a set X is transitive if, for all elements a, b, c in X, whenever R relates a to b and b to c, then R also relates a to c.

This is a glossary of some terms used in various branches of mathematics that are related to the fields of order, lattice, and domain theory. Note that there is a structured list of order topics available as well. Other helpful resources might be the following overview articles:

<span class="mw-page-title-main">Perfect graph</span> Graph with tight clique-coloring relation

In graph theory, a perfect graph is a graph in which the chromatic number equals the size of the maximum clique, both in the graph itself and in every induced subgraph. In all graphs, the chromatic number is greater than or equal to the size of the maximum clique, but they can be far apart. A graph is perfect when these numbers are equal, and remain equal after the deletion of arbitrary subsets of vertices.

In mathematics, in the areas of order theory and combinatorics, Dilworth's theorem characterizes the width of any finite partially ordered set in terms of a partition of the order into a minimum number of chains. It is named for the mathematician Robert P. Dilworth.

<span class="mw-page-title-main">Weak ordering</span> Mathematical ranking of a set

In mathematics, especially order theory, a weak ordering is a mathematical formalization of the intuitive notion of a ranking of a set, some of whose members may be tied with each other. Weak orders are a generalization of totally ordered sets and are in turn generalized by (strictly) partially ordered sets and preorders.

Tarski's axioms are an axiom system for Euclidean geometry, specifically for that portion of Euclidean geometry that is formulable in first-order logic with identity. As such, it does not require an underlying set theory. The only primitive objects of the system are "points" and the only primitive predicates are "betweenness" and "congruence". The system contains infinitely many axioms.

<span class="mw-page-title-main">Order dimension</span> Mathematical measure for partial orders

In mathematics, the dimension of a partially ordered set (poset) is the smallest number of total orders the intersection of which gives rise to the partial order. This concept is also sometimes called the order dimension or the Dushnik–Miller dimension of the partial order. Dushnik & Miller (1941) first studied order dimension; for a more detailed treatment of this subject than provided here, see Trotter (1992).

<span class="mw-page-title-main">Comparability</span> Property of elements related by inequalities

In mathematics, two elements x and y of a set P are said to be comparable with respect to a binary relation ≤ if at least one of xy or yx is true. They are called incomparable if they are not comparable.

In graph theory, a comparability graph is an undirected graph that connects pairs of elements that are comparable to each other in a partial order. Comparability graphs have also been called transitively orientable graphs, partially orderable graphs, containment graphs, and divisor graphs. An incomparability graph is an undirected graph that connects pairs of elements that are not comparable to each other in a partial order.

In mathematics, especially order theory, the interval order for a collection of intervals on the real line is the partial order corresponding to their left-to-right precedence relation—one interval, I1, being considered less than another, I2, if I1 is completely to the left of I2. More formally, a countable poset is an interval order if and only if there exists a bijection from to a set of real intervals, so , such that for any we have in exactly when .

In order theory, a branch of mathematics, a linear extension of a partial order is a total order that is compatible with the partial order. As a classic example, the lexicographic order of totally ordered sets is a linear extension of their product order.

In the mathematical field of order theory, an inclusion order is the partial order that arises as the subset-inclusion relation on some collection of objects. In a simple way, every poset P = (X,≤) is (isomorphic to) an inclusion order (just as every group is isomorphic to a permutation group – see Cayley's theorem). To see this, associate to each element x of X the set

In mathematics, a homogeneous relation on a set X is a binary relation between X and itself, i.e. it is a subset of the Cartesian product X × X. This is commonly phrased as "a relation on X" or "a (binary) relation over X". An example of a homogeneous relation is the relation of kinship, where the relation is between people.

In constructive mathematics, pseudo-order is a name given to certain binary relations appropriate for modeling continuous orderings.

In order theory, the Szpilrajn extension theorem, proved by Edward Szpilrajn in 1930, states that every partial order is contained in a total order. Intuitively, the theorem says that any method of comparing elements that leaves some pairs incomparable can be extended in such a way that every pair becomes comparable. The theorem is one of many examples of the use of the axiom of choice in the form of Zorn's lemma to find a maximal set with certain properties.

In mathematics, a relation on a set is called connected or complete or total if it relates all distinct pairs of elements of the set in one direction or the other while it is called strongly connected if it relates all pairs of elements. As described in the terminology section below, the terminology for these properties is not uniform. This notion of "total" should not be confused with that of a total relation in the sense that for all there is a so that .

In economics, a utility representation theorem asserts that, under certain conditions, a preference ordering can be represented by a real-valued utility function, such that option A is preferred to option B if and only if the utility of A is larger than that of B.

References

Further reading