A.A. Kharkevich Institute for Information Transmission Problems, RAS, 19 Bol’shoi Karetnyi per., Moscow, 127051 Russia, E-mail: [email protected]
Extending Utility Functions on Arbitrary Sets
Abstract
We consider the problem of extending a function defined on a subset of an arbitrary set to strictly monotonically with respect to a preorder defined on , without imposing continuity constraints. We show that whenever has a utility representation, is extendable if and only if it is gap-safe increasing. A class of extensions involving an arbitrary utility representation of is proposed and investigated. Connections to related topological results are discussed. The condition of extendability and the form of the extension are simplified when is a Pareto set.
xtension of a utility function; Monotonicity; Utility representation of a preorder; Pareto set
Keywords:
E1 Introduction
Suppose that a decision maker has a utility function defined on some subset of a Euclidean space of alternatives. It is usually assumed that strictly increases in coordinates corresponding to particular criteria. Therefore, it is of interest to determine conditions under which this function can be extended in such a way as to provide a strictly increasing function on . In settings where all elements of are theoretically feasible, these conditions can be considered as those of the consistency of .
In this paper, we consider a more general problem where an arbitrary preordered set is substituted for . We show that whenever preorder enables a utility representation (in the form of a real-valued function strictly increasing w.r.t. on ), a strictly increasing extension of to exists if and only if is gap-safe increasing with respect to . Moreover, such an extension can be based on any utility representation of . The main object of this paper is the general class of extensions (11) involving an arbitrary -utility representation of and arbitrary real constants and
We also consider the case where the structure of subset restricts functions strictly increasing on to the minimum extent. This is the case where is a Pareto set; for such the extension takes a simpler form.
Starting with the classical results of Eilenberg [15], Nachbin [34, 35], and Debreu [10, 11, 12], much of the work related to utility functions has been done under the continuity assumption [6, 16]. In some cases this assumption is made “for purposes of mathematical reasoning” [1]. On the other hand, this requirement is not always necessary. Moreover, there are threshold effects [23, 27] such as a shift from quantity to quality or disaster avoidance behavior that require utility jumps. In other situations, the feasible set of possible outcomes is a discrete or finite subset of the entire space, which may eliminate or relax the continuity constraints. Thus, utility functions that may not be continuous everywhere are useful or even necessary to model some real-world problems [18, 28, 19, 14, 38, 2, 4]. For a discussion of various versions of the continuity postulate in utility theory, we refer to [44].
In this paper, we study the problem of extending utility functions defined on arbitrary subsets of an arbitrary set equipped with a preorder , but not endowed with a topological structure, since we do not impose continuity requirements. However, some kind of continuity of an associated inverse mapping follows from the necessary and sufficient condition of extendability we establish.
2 The problem and standard definitions
Throughout the paper is a preordered set, where is an arbitrary nonempty set and is a preorder (i.e., a transitive and reflexive binary relation) defined on We first formulate the problem under consideration and then provide the necessary definitions; the definitions of basic properties and classes of binary relations are given in Appendix 0.A.
Consider any subset and any real-valued function defined on . The problem studied in this paper is: to find conditions under which can be extended to yielding a strictly increasing function and to construct a fairly general class of such extensions when they exist.
The definitions of the relevant terms are as follows.
Given a preorder on the asymmetric and symmetric parts of are the relations111The elements of are printed in bold (as is common for vectors in ) to distinguish them from real numbers. and not ] and and ], respectively, where means “identity by definition.” Relation is transitive and irreflexive (i.e., it is a strict partial order), whereas is transitive, reflexive, and symmetric (i.e., an equivalence relation).
The converse relations corresponding to and are and .
For any is the restriction of to .
is a maximal (minimal) element of iff (resp., ) for no
Definition 1
A function where is said to be weakly increasing with respect to the preorder defined on (or, briefly, weakly increasing) if for all implies222In a different terminology [5], functions with this property are referred to as order-preserving, or isotone.
If, in addition, for all such that then is called strictly increasing w.r.t. , or a utility representation of .
Utility functions strictly increasing w.r.t. can express the attitude, consistent with the preference preorder , of a decision maker towards the elements of . Utility representations of preorders and partial orders have been studied since [35, 3, 36, 17].
It follows from Definition 1 that for any weakly increasing function ,
(1) |
Using (1) we obtain the following simple lemma.
Lemma 1
A function where is strictly increasing with respect to a preorder defined on if and only if for all
(2) |
where and are the symmetric and asymmetric parts of respectively.
Indeed, (2) follows from Definition 1 using (1). Conversely, if (2) holds, then since implies with the desired conclusion in either case, while the second condition is immediate.
Definition 2
A real-valued function defined on is strictly monotonically333We mean increase. extendable to if there exists a function such that
the restriction of to coincides with and
is strictly increasing on with respect to .
In this case, is said to be a strictly increasing extension of to .
In economics and decision making, alternatives are often identified with -dimensional vectors of criteria values [41] or goods [1]. In such cases, Thus, an important special case of the extendability problem is the problem of extending to functions defined on and strictly increasing w.r.t. the Pareto preorder on . The Pareto preorder [13] is defined as follows: for any and that belong to for all .
3 Extensions of preorders and corresponding utilities
Extensions of preorders and partial orders and their numerical representations have been studied since Szpilrajn’s theorem [39] according to which every partial order can be extended to a linear order.
Another basic result is that a preorder has a utility representation whenever there exists a countable dense444 is -dense in where is a binary relation on [17], iff [ or or [ and for some ]] for all . (w.r.t. the induced partial order) subset in the factor set where is the symmetric part of [12, 37, 17]. This is not a necessary condition, however, for the subclass of weak orders (i.e., connected preorders), it is necessary.
Among the extensions of the Pareto preorder on are all lexicographic linear orders [17] on . When , these extensions lack utility representations [12], while a utility representation of the Pareto preorder is any function strictly increasing in all coordinates.
Any utility representation of a preorder induces a weak order that extends . In turn, this weak order determines its utility representation up to an arbitrary strictly increasing transformation; for certain related results, see [17, 32, 33, 21, 6, 16]. As was seen on the example of the Pareto preorder, not all weak orders extending correspond to utility representations of . However, this is true when is a vector space and the weak order has the Archimedean property, which ensures [17] the existence of a countable dense (w.r.t. this weak order) subset of .
4 Preliminaries
Theorem 6.1 below gives a necessary and sufficient condition for the strictly increasing extendability of a function defined on a subset of w.r.t. a preorder that has a utility representation. Moreover, this theorem introduces a class of extensions that depend on both the initial function and an arbitrary utility representation of the preorder.
We now introduce the notation used in Theorem 6.1 and present simple facts related to it.
Let be the extended real line:
(3) |
with the ordinary relation supplemented by and for all . Since the extended relation is a strict linear order, it determines unique smallest () and largest () elements in any nonempty finite .
Functions and are considered as maps from to defined for as follows: and . This preserves inclusion monotonicity, i.e., the property that does not decrease and does not increase with the expansion of the set (cf. [40, Section 4]). Throughout we assume and whenever while indeterminacies like never occur in our formulas.
Remark 1
If and is bounded, then defining and on with the preservation of inclusion monotonicity allows setting and where and are any strict lower and upper bounds of respectively. This is applicable to (4) below whenever the range of is bounded.
Definition 3
For any and the lower -contour and the upper -contour of are and respectively.
For any , where , define two functions from to :
(4) |
By definition, the “lower supremum” and “upper infimum” functions can take values and along with real values.
It follows from the transitivity of and the inclusion monotonicity of the and functions that for any (not necessarily increasing) functions and are weakly increasing with respect to :
(5) |
Consequently,
(6) |
Furthermore, since implies it holds that
(7) |
We will use the following characterizations of the class of weakly increasing functions in terms of and
Proposition 1
For any and the following statements are equivalent
is weakly increasing;
The proofs are given in Section 11.
5 Gap-safe increasing functions
In this section, we consider the class of gap-safe increasing functions which is not wider, but can be narrower for some and than the class of strictly increasing functions (see Proposition 2 and Example 1 below). We will show that this is precisely the class of functions that admit a strictly increasing extension to .
Let us extend in the same manner as is extended by (3):
where and are two distinct elements that do not belong to Preorder is extended to as follows:
where and are pairs of elements of
Functions , are defined in the same way as in (4).
Definition 4
A function where is gap-safe increasing with respect to a preorder defined on (or, briefly, gap-safe increasing) if is weakly increasing and for any implies .
The term “gap-safe increasing” refers to the property of a function to orderly separate its values () when the corresponding sets of arguments are orderly separated () in ; see also Remark 3. In [8], the term “separably increasing function” was proposed, clashing with topological separability, which means the existence of a countable dense subset.
Proposition 2
If defined on is gap-safe increasing, then
is strictly increasing;
is555An equivalent formulation is: There is no s.t. or
upper-bounded on the lower -contour and lower-bounded on the upper -contour of for every
It should be noted that there are functions that are strictly increasing, upper-bounded on all lower -contours and lower-bounded on all upper -contours, but are not gap-safe increasing.
Example 1
Consider
where Function satisfies (a) and (b) of Proposition 2, but it is not gap-safe increasing. Indeed,
Remark 3
The gap-safe increase of a function can be interpreted as follows. If is weakly increasing, then implies for any as in Proposition 1. For the class of strictly increasing functions the conclusion cannot be strengthened to as Example 1 shows. This stronger conclusion holds for gap-safe increasing functions, i.e., is incompatible for them with In other words, the absence of a gap in the values of between -contours “ or higher” (with infimum given by ) and “ or lower” (with supremum of ) implies Hence the gap-safe increase of a function can be viewed as a kind of continuity of the inverse mapping: there is no gap in its values () whenever there is no gap in the argument ().
6 A class of extensions of gap-safe increasing functions
Let defined on any be gap-safe increasing. Theorem 6.1 below states that this is a necessary and sufficient condition for the existence of strictly increasing extensions of to provided that enables utility representation. Furthermore, for any such a representation, the theorem provides an extension of a gap-safe increasing function that combines these two functions.
For any such that let be a utility representation of (i.e., a function strictly increasing w.r.t. ) satisfying
(8) |
For any (unbounded) utility representation of , such a function can be obtained, for example, using transformation
In particular, consider the functions that satisfy
(9) |
They are normalized versions of the above utilities :
(10) |
For any real and and any utility representations of we define
(11) | |||||
For an arbitrary gap-safe increasing function given by (11) is well defined as the two terms in the right-hand side are finite. This follows from item of Proposition 2. For preordered sets that have minimal or maximal elements (see Example 2 in Section 9, where has a maximal element), this is ensured by introducing the augmented sets in the definition of a gap-safe increasing function. Indeed, since and for all Definition 4 provides and hence and i.e., is upper-bounded on all lower -contours and lower-bounded on all upper -contours, ensuring the correctness of definition (11). If has neither minimal nor maximal elements (like the Pareto preorder on ), then the replacement of with in Definition 4 does not alter the class of gap-safe increasing functions.
We now formulate the main result.
Theorem 6.1
Suppose that a preorder defined on has a utility representation and is a real-valued function defined on some . Then is strictly monotonically extendable to if and only if is gap-safe increasing.
Under these conditions, function defined by where is any utility representation of that satisfies and is a strictly increasing extension of to .
7 Extension of utility: Additional representations
The class of extensions introduced by Theorem 6.1 allows alternative representations that clarify its properties. They are given by Propositions 3–5.
Proposition 3
If is a utility representation of satisfying and where is gap-safe increasing, then
(12) | |||||
is a strictly increasing extension of to and coincides with function where is related to by .
The order of proofs in Section 11 is as follows. Verification of the second statement of Proposition 3 is straightforward and is omitted. This statement is used to prove Proposition 5, which implies Proposition 4, and they both are used in the proof of Theorem 6.1, which in turn implies the first statement of Proposition 3.
To simplify (12), we partition into four regions determined by and :
(13) |
Clearly these regions are pairwise disjoint and .
Proposition 4
If is a utility representation of satisfying and where is gap-safe increasing, then function defined by can be represented as follows
(14) |
Proposition 4 highlights the role of in (12). Function reduces to on and to on whose elements are -incomparable with those of . Moreover, on the part of where and on the part of where On the complement parts of and , and respectively. On (12) is not simplified. This fact and the ambiguity on and prompt us to make another partition of
Consider four regions that depend on and :
(15) |
It is easily seen that whereas the -regions are not disjoint. This decomposition allows us to express without and .
Proposition 5
For a gap-safe increasing defined by can be represented as follows, where and are representations of related by
(16) |
Thus, on is a convex combination of and with coefficients and respectively. The regions and intersect on some parts of the border sets , , and . Accordingly, the expressions of given by Proposition 5 are concordant on these intersections.
Corollary 1
In the notation and assumptions of Proposition
For any implies In particular,
if for some then and
8 Extension of functions defined on Pareto sets
Consider the case where is a Pareto set. Such a set comprises elements that are mutually undominated.
Definition 5
A subset is called a Pareto set in if there are no such that where is the asymmetric part of .
For functions defined on Pareto sets , the necessary and sufficient condition of extendability to given by Theorem 6.1 reduces to the boundedness on all -contours (which appeared in Proposition 2) supplemented by condition (1): .
Lemma 2
A function defined on a Pareto set is gap-safe increasing with respect to a preorder defined on if and only if is upper-bounded on all lower -contours, lower-bounded on all upper -contours, and satisfies where is the symmetric part of .
By the transitivity of , for any Pareto set the sets and have a simple structure described in the following lemma.
Lemma 3
Under the conditions of Lemma where and are defined by and respectively.
Lemmas 2 and 3, Propositions 4 and 5, and Corollary 1 provide the following special case of Theorem 6.1 for Pareto sets.
Corollary 2
Suppose that a preorder on has a utility representation satisfying and is a Pareto set. Then a function is strictly monotonically extendable to if and only if it is upper-bounded on all lower -contours, lower-bounded on all upper -contours, and satisfies where is the symmetric part of .
Under these conditions, the function such that
whenever and | |
is defined by or | when |
is a strictly increasing extension of to coinciding with
It follows from Corollary 2 that for a Pareto set , functions and influence almost symmetrically: reduces to on to on , and is determined by the sum or on
Results related to Theorem 6.1 and Corollary 2 were used in [7, 9] to construct implicit forms of scoring procedures for preference aggregation and evaluation of the centrality of nodes. More specifically, theorems of this type allow us to move from axioms that determine a positive impact of the comparative results of objects on their functional scores to the conclusion that the scores satisfy a system of equations determined by a strictly increasing function.
9 Connections to related work
Problems of extending real-valued functions while preserving monotonnicity (sometimes called lifting problems) have been considered primarily in topology. Therefore, continuity was usually a property to be preserved. This strand of literature started with the following theorem of general topology.
Urysohn’s extension theorem [43]. A topological space is normal 666A topological space is called normal if for any two disjoint closed subsets of there are two disjoint open subsets each covering one of the closed subsets.if and only if every continuous real-valued function whose domain is a closed subset can be extended to a function continuous on
For metric spaces, a counterpart of this theorem was proved by Tietze [42].
Nachbin [35] obtained extension theorems for functions defined on preordered spaces. In his terminology, a topological space equipped with a preorder is normally preordered if for any two disjoint closed sets being decreasing (i.e., with every containing all such that ) and increasing (with every containing all such that ), there exist disjoint open sets and decreasing and increasing respectively, such that and The space is normally ordered if, in addition, its preorder is antisymmetric (i.e., is a partial order).
Nachbin’s lifting theorem [35] for compact sets in ordered spaces. In any normally ordered space whose partial order is a closed subset of every continuous weakly increasing real-valued function defined on any compact set can be extended to in such a way as to remain continuous and weakly increasing.
An analogous theorem for more general normally preordered spaces is [31, Theorem 3.4]. Sufficient conditions for to be normally preordered are: (a) compactness of and belonging of to the class of closed partial orders [35, Theorem 4 in Chapter 1] (this result was strengthened in [31]); (b) connectedness and closedness of [30].
Additional utility extension theorems in which is a compact set, is continuous, and is required to be continuous and weakly increasing as well as are discussed in [16].
The extendability of continuous functions defined on non-compact sets requires a stronger condition. It can be formulated as follows.
For a function where let the lower -contour and the upper -contour of denote the sets and respectively. Let us say that is inversely closure-increasing if for any such that there exist two disjoint closed subsets of : a decreasing set containing and an increasing set containing
Nachbin’s lifting theorem [35] for closed sets in preordered spaces. In any normally preordered space a continuous weakly increasing bounded function defined on a closed subset can be extended to in such a way as to remain continuous, weakly increasing, and bounded if and only if is inversely closure-increasing.
For several other results regarding the extension of weakly increasing functions defined on non-compact sets we refer to [22, 20, 31].
Theorems on the extension of strictly increasing functions were obtained in [22, 24, 25, 26]. Herden’s Theorem 3.2 [22] contains a compound condition consisting of several arithmetic and set-theoretic parts, which is not easy to grasp. To formulate a more transparent result [25, Theorem 2.1], let us introduce the following notation. Using Definition 3, for any define the decreasing cover of and the increasing cover of . In these terms, is decreasing (increasing) whenever (resp., ). A preorder is said to be continuous [29] if for every open both and are open. A preorder is separable777On connections between versions of preorders’ separability and denseness, see [21]. if there exists a countable such that For denote by and the collections of open decreasing and open increasing sets containing , respectively.
Hüsseinov’s extension theorem [25] for strictly increasing functions. In any normally preordered space with a separable and continuous preorder a continuous strictly increasing function defined on a nonempty closed subset can be extended to in such a way as to remain continuous and strictly increasing if and only if is such that for any implies and for any where
with the convention that if for some and if for some
This theorem is a topological counterpart of the first part of our Theorem 6.1. Consider the discrete topology in which every subset of is open. Then the space is normally preordered and the preorder is continuous, as well as any function . The separability of in Hüsseinov’s theorem ensures its representability by utility, which is explicitly assumed in Theorem 6.1.
Condition reduces to where and modify and by taking values or instead of or when or respectively. It is easily seen that conditions and are equivalent (cf. Remark 1), therefore, by of Proposition 1, for all reduces in the discrete topology to the weak increase of .
The last condition, proposed in [8], is required for all in the above theorem and for all in Theorem 6.1 (forming, by Definition 4, the main part of gap-safe increase). This difference is significant. Let us illustrate it with the following example.
Example 2
for all .
Then has no strictly increasing extension to and is not gap-safe increasing, since , but However, for all therefore, the above theorem claims that is strictly monotonically extendable to .
The reason is that [25, Theorem 2.1] was actually proved for a bounded function , however, the boundedness condition was removed by a remark erroneously claiming that this condition was not essential. The method of extension proposed in the present paper differs from the classical approach, which is systematically applied to continuous functions.
In [24], Hüsseinov shows that condition for all is equivalent to the necessary and sufficient extendability condition for a weakly increasing bounded function defined on a closed subset of a preordered space, i.e., to the Nachbin property of being inversely closure-increasing.
The problem of extending utility functions without continuity constraints was considered in [8] with the focus on the functions representing Pareto partial orders on Euclidean spaces. Partial orders are antisymmetric preorders, therefore, preorders are more flexible allowing symmetry () on a pair of distinct elements, while partial orders only allow “negative” () symmetry. Symmetry is an adequate model of equivalence between objects (which suggests the same value of the utility function), while “negative” symmetry can model the absence of information, which is generally compatible with unequal utility values.
10 Conclusion
The paper presents a strict-extendability condition and a wide class of extensions of utility functions defined on an arbitrary subset of an arbitrary set equipped with a preorder. It can be observed that the key condition of gap-safe increase of has a similar structure as that of inverse closure-increase, which is equivalent to the extendability of a continuous weakly increasing function defined on a closed subset (see [6] for a related discussion). Moreover, as mentioned in Section 9, the latter “inverse” condition has an equivalent “direct” counterpart. Relationships of this kind deserve further study.
Among other problems, we mention: (1) finding relationships between various extensions proposed earlier for continuous functions and the class of extensions (11) described in Theorem 6.1; (2) characterizing the complete class of extensions of to (and, for example, to )); (3) exploring the extension problem with as the range of replaced by certain other posets.
11 Proofs
Proof of Proposition 1. . Let hold. For any if or then or respectively, with in both cases. Otherwise, and imply and by the transitivity of . Hence by Therefore, i.e.,
. Let hold. Then for any such that using (5) we get
. As is reflexive, is a special case of .
. [For all ] [for all ] [for all ].
. [ and the last inequality of (7)]
as is a special case of . ∎
Proof of Proposition 2. Let be gap-safe increasing.
Assume that is not strictly increasing. Since is weakly increasing, there are such that and . Then, by (7), holds, i.e., is not gap-safe increasing. Therefore, the assumption is wrong.
Let be the lower -contour of some . By definition, and Since is gap-safe increasing, . Since , is upper-bounded on . Similarly, is lower-bounded on all upper -contours. ∎
Therefore, (12) reduces to .
Let Inequalities and imply , hence (11) reduces to .
Let Inequalities and imply , hence (11) reduces to .
Finally, let i.e., and Substituting and into (12) yields ∎
Finally, if then and , whence and , and Proposition 5 provides . ∎
Proof of Theorem 6.1. Suppose that is strictly monotonically extendable to . Then is strictly increasing w.r.t. . Assume that is not gap-safe increasing. This implies that there are such that and If then using this inequality, the definition of and and the strict monotonicity of we obtain whence , and as is not strictly increasing. Therefore, If then implies and By the assumption, hence , thus, and Since, , cannot be assigned a value compatible with the strict monotonicity of , whence is not strictly monotonically extendable to , a contradiction. The case of is considered similarly. It is proved that is gap-safe increasing whenever is strictly monotonically extendable to .
Now let be gap-safe increasing. By Proposition 4, the restriction of to coincides with .
It remains to prove that is strictly increasing on . This can be shown directly by analyzing expression (11). Here, we give a proof that does not require the analysis of special cases with and .
We will use Lemma 1. First, consider any such that and show that By (6), and Furthermore, and are strictly increasing with respect to by definition, hence and Therefore, by (16), holds.
Now suppose that and . Then, by (5) and the strict monotonicity of and , we have
(17) |
Let and belong to the same region: or . Ineqs (17) yield
(18) |
hence, by (16), is strictly increasing on each of these regions.
This implies that is possible only if and , hence only if . The last equality is impossible, since is gap-safe increasing by assumption. Therefore, , and is strictly increasing on .
Let now and belong to different regions and . Consider the points that represent and in the 3-dimensional space with axes corresponding to , , and . Let us connect these points, and , by a line segment. The projections of this segment and the borders of the regions and onto the plane are illustrated in Fig. 1.
Suppose that , , are the consecutive points where the line segment crosses the planes and separating the -regions on the way from to Then, by the linearity of the segment, it holds that
(19) |
(20) |
with strict inequalities in (19) or in (20), or in both (since otherwise and belong to the same -region).
Consider represented by (16) as a function of , and . Then, using the fact that is nondecreasing in all variables on each region, strictly increasing in on and , and strictly increasing in and on and the fact that each point () belongs to both regions on the border of which it lies, we obtain
(21) | |||||
Thus, and is strictly increasing. Theorem 6.1 is proved. ∎
Proof of Corollary 1. hence and which satisfies the conditions of
implies whence follows from (16).
If and then since is gap-safe increasing and thus weakly increasing, Eq. (6), Remark 2, and [] of Proposition 1 imply hence and ∎
Proof of Lemma 2. If is gap-safe increasing, then the conditions presented in Lemma 2 are satisfied due to Proposition 2 and Lemma 1.
Conversely, suppose that these conditions hold. By the definition of a Pareto set, for any reduces to and the condition implies that is weakly increasing.
Assume that is not gap-safe increasing. Then there exist such that and . This is possible only if (a) or (b) , or (c) there are such that However, in (a), and (since is incompatible with and is incompatible with ), hence is not upper-bounded on a lower -contour. Similarly, in (b), and (since is incompatible with and is incompatible with ), hence is not lower-bounded on an upper -contour. In (c), by the “mixed” strict transitivity of preorders ( and ), we have hence is not a Pareto set. In all cases we get a contradiction, therefore, is gap-safe increasing. ∎
Proof of Lemma 3. Let Then . Indeed, otherwise either or and since is upper-bounded on all lower -contours and lower-bounded on all upper -contours, , which contradicts the assumption. Therefore,
Let Then there exist such that
(22) |
and by the transitivity of Since is a Pareto set, By the transitivity of the latter is incompatible with in (22), consequently, for some
Let for some Then by the last statement of Corollary 1, This completes the proof. ∎
Appendix
Appendix 0.A Binary relations
A binary relation on a set is a set of ordered pairs of elements of (); is abbreviated as .
A binary relation is
-
•
reflexive if holds for every ;
-
•
irreflexive if holds for no ;
-
•
transitive if and imply for all ;
-
•
symmetric if implies for all ;
-
•
antisymmetric if and imply for all ;
-
•
connected if or holds for all such that
A binary relation is a/an
-
•
preorder if it is transitive and reflexive;
-
•
partial order if it is transitive, reflexive and antisymmetric;
-
•
strict partial order if it is transitive and irreflexive;
-
•
weak order if it is a connected preorder;
-
•
linear (or total) order if it is an antisymmetric weak order (or, equivalently, is a connected partial order);
-
•
strict linear order if it is a connected strict partial order;
-
•
equivalence relation if it is transitive, reflexive and symmetric.
A relation extends a relation if
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