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Homogeneous relation

Binary relation over a set and itself

Homogeneous relation

Summary

Binary relation over a set and itself

In mathematics, a homogeneous relation (also called endorelation) 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.

Common types of endorelations include orders, graphs, and equivalences. Specialized studies of order theory and graph theory have developed understanding of endorelations. Terminology particular for graph theory is used for description, with an ordinary (undirected) graph presumed to correspond to a symmetric relation, and a general endorelation corresponding to a directed graph. An endorelation R corresponds to a logical matrix of 0s and 1s, where the expression xRy (x is R-related to y) corresponds to an edge between x and y in the graph, and to a 1 in the square matrix of R. It is called an adjacency matrix in graph terminology.

Particular homogeneous relations

Some particular homogeneous relations over a set X (with arbitrary elements x, x) are: ;Empty relation : ; that is, x**Ex holds never; ;Universal relation : ; that is, x**Ux holds always; ;Identity relation (see also Identity function) : }; that is, x**Ix holds if and only if .

Example

AfAnArAuCaCoEuInJuNANaPaPhSAScSo
African
Antarctic
Arabian
Australian
Caribbean
Cocos
Eurasian
Indian
Juan de Fuca
North american
Nazca
Pacific
Philippine
South american
Scotia
Somali
tectonic plates]] are in contact is a homogenous relation, because both the first and second argument are from the same set, that is the set of tectonic plates on [[Earth]].

Sixteen large tectonic plates of the Earth's crust contact each other in a homogeneous relation. The relation can be expressed as a logical matrix with 1 (depicted "[[File:Green check.svg|13px]]") indicating contact and 0 ("[[File:Dark Red x.svg|13px]]") no contact. This example expresses a symmetric relation.

Properties

Some important properties that a homogeneous relation R over a set X may have are: ; Reflexive : for all xX, xRx. For example, ≥ is a reflexive relation but is not. ; Irreflexive (or strict) : for all xX, not xRx. For example, is an irreflexive relation, but ≥ is not. ; Coreflexive : for all x, yX, if xRy then . For example, the relation over the integers in which each odd number is related to itself is a coreflexive relation. The equality relation is the only example of a both reflexive and coreflexive relation, and any coreflexive relation is a subset of the identity relation. ; Left quasi-reflexive : for all x, yX, if xRy then xRx. ; Right quasi-reflexive : for all x, yX, if xRy then yRy. ; Quasi-reflexive : for all x, yX, if xRy then xRx and yRy. A relation is quasi-reflexive if, and only if, it is both left and right quasi-reflexive.

The previous 6 alternatives are far from being exhaustive; e.g., the binary relation xRy defined by is neither irreflexive, nor coreflexive, nor reflexive, since it contains the pair (0, 0), and (2, 4), but not (2, 2), respectively. The latter two facts also rule out (any kind of) quasi-reflexivity. ; Symmetric : for all x, yX, if xRy then yRx. For example, "is a blood relative of" is a symmetric relation, because x is a blood relative of y if and only if y is a blood relative of x. ; Antisymmetric : for all x, yX, if xRy and yRx then . For example, ≥ is an antisymmetric relation; so is , but vacuously (the condition in the definition is always false). ; Asymmetric : for all x, yX, if xRy then not yRx. A relation is asymmetric if and only if it is both antisymmetric and irreflexive. For example, is an asymmetric relation, but ≥ is not.

Again, the previous 3 alternatives are far from being exhaustive; as an example over the natural numbers, the relation xRy defined by x 2 is neither symmetric nor antisymmetric, let alone asymmetric. ; Transitive : for all x, y, zX, if xRy and yRz then xRz. A transitive relation is irreflexive if and only if it is asymmetric. For example, "is ancestor of" is a transitive relation, while "is parent of" is not. ; Antitransitive : for all x, y, zX, if xRy and yRz then never xRz. ; Co-transitive : if the complement of R is transitive. That is, for all x, y, zX, if xRz, then xRy or yRz. This is used in pseudo-orders in constructive mathematics. ; Quasitransitive : for all x, y, zX, if xRy and yRz but neither yRx nor zRy, then xRz but not zRx. ; Transitivity of incomparability : for all x, y, zX, if x and y are incomparable with respect to R and if the same is true of y and z, then x and z are also incomparable with respect to R. This is used in weak orderings.

Again, the previous 5 alternatives are not exhaustive. For example, the relation xRy if ( or ) satisfies none of these properties. On the other hand, the empty relation trivially satisfies all of them. ; Dense : for all x, yX such that xRy, there exists some zX such that xRz and zRy. This is used in dense orders. ; Connected : for all x, yX, if then xRy or yRx. This property is sometimes called "total", which is distinct from the definitions of "left/right-total" given below. ; Strongly connected : for all x, yX, xRy or yRx. This property, too, is sometimes called "total", which is distinct from the definitions of "left/right-total" given below. ; Trichotomous : for all x, yX, exactly one of xRy, yRx or holds. For example, is a trichotomous relation on the real numbers, while the relation "divides" over the natural numbers is not. ; Right Euclidean (or just Euclidean) : for all x, y, zX, if xRy and xRz then yRz. For example, = is a Euclidean relation because if and then . ; Left Euclidean : for all x, y, zX, if yRx and zRx then yRz. ; Well-founded : every nonempty subset S of X contains a minimal element with respect to R. Well-foundedness implies the descending chain condition (that is, no infinite chain ... xnR...Rx3Rx2Rx1 can exist). If the axiom of dependent choice is assumed, both conditions are equivalent.

Moreover, all properties of binary relations in general also may apply to homogeneous relations: ; Set-like : for all xX, the class of all y such that yRx is a set. (This makes sense only if relations over proper classes are allowed.) ; Left-unique : for all x, zX and all yY, if xRy and zRy then . ; Univalent : for all xX and all y, zY, if xRy and xRz then . ; Total (also called left-total) : for all xX there exists a yY such that xRy. This property is different from the definition of connected (also called total by some authors). ; Surjective (also called right-total) : for all yY, there exists an xX such that xRy.

A preorder is a relation that is reflexive and transitive. A total preorder, also called linear preorder or weak order, is a relation that is reflexive, transitive, and connected.

A partial order, also called order, is a relation that is reflexive, antisymmetric, and transitive. A strict partial order, also called strict order, is a relation that is irreflexive, antisymmetric, and transitive. A total order, also called linear order, simple order, or chain, is a relation that is reflexive, antisymmetric, transitive and connected. A strict total order, also called strict linear order, strict simple order, or strict chain, is a relation that is irreflexive, antisymmetric, transitive and connected.

A partial equivalence relation is a relation that is symmetric and transitive. An equivalence relation is a relation that is reflexive, symmetric, and transitive. It is also a relation that is symmetric, transitive, and total, since these properties imply reflexivity.

A univalent relation may also be called a partial function. A (total) function is a partial function that is left-total. An injective function (or partial function) is one whose inverse is univalent. A surjective function is one that is right-total.

Implications and conflicts between properties of homogeneous binary relations
[[File:BinRelProp Impl Confl.gifthumb750pxImplications (blue) and conflicts (red) between properties (yellow) of homogeneous binary relations. For example, every asymmetric relation is irreflexive (" "), and no relation on a non-empty set can be both irreflexive and reflexive (" "). Omitting the red edges results in a [[Hasse diagram]].]]

Operations

If R is a homogeneous relation over a set X then each of the following is a homogeneous relation over X: ; Reflexive closure, R= : Defined as or the smallest reflexive relation over X containing R. This can be proven to be equal to the intersection of all reflexive relations containing R. ; Reflexive reduction, R≠ : Defined as } or the largest irreflexive relation over X contained in R. ; Transitive closure, R+ : Defined as the smallest transitive relation over X containing R. This can be seen to be equal to the intersection of all transitive relations containing R. ; Reflexive transitive closure, R* : Defined as , the smallest preorder containing R. ; Reflexive transitive symmetric closure, R≡ : Defined as the smallest equivalence relation over X containing R.

All operations defined in ** also apply to homogeneous relations.

: {| class="wikitable sortable" style="text-align:center;"

+ Homogeneous relations by property
!
! Reflexivity
! Symmetry
! Transitivity
! Connectedness
! Symbol
! Example
-
! Directed graph

| | | | | → | |- ! Undirected graph | | | | | | |- ! Dependency | | | | | | |- ! Tournament | | | | |

Pecking order
! Preorder

| | | | | ≤

Preference
! Total preorder

| | | | | ≤ | |- ! Partial order | | | | | ≤

Subset
! Strict partial order

| | | | |

Strict subset
! Total order

| | | | | ≤

Alphabetical order
! Strict total order

| | | | |

Strict alphabetical order
! Partial equivalence relation

| | | | | | |- ! Equivalence relation | | | | | ~, ≡ | Equality |}

Enumeration

The set of all homogeneous relations \mathcal{B}(X) over a set X is the set 2X×X, which is a Boolean algebra augmented with the involution of mapping of a relation to its converse relation. Considering composition of relations as a binary operation on \mathcal{B}(X), it forms a monoid with involution where the identity element is the identity relation.

The number of distinct homogeneous relations over an n-element set is 2n2 :

Notes:

  • The number of irreflexive relations is the same as that of reflexive relations.
  • The number of strict partial orders (irreflexive transitive relations) is the same as that of partial orders.
  • The number of strict weak orders is the same as that of total preorders.
  • The total orders are the partial orders that are also total preorders. The number of preorders that are neither a partial order nor a total preorder is, therefore, the number of preorders, minus the number of partial orders, minus the number of total preorders, plus the number of total orders: 0, 0, 0, 3, and 85, respectively.
  • The number of equivalence relations is the number of partitions, which is the Bell number.

The homogeneous relations can be grouped into pairs (relation, complement), except that for the relation is its own complement. The non-symmetric ones can be grouped into quadruples (relation, complement, inverse, inverse complement).

Examples

  • Order relations, including strict orders:
    • Greater than
    • Greater than or equal to
    • Less than
    • Less than or equal to
    • Divides (evenly)
    • Subset of
  • Equivalence relations:
    • Equality
    • Parallel with (for affine spaces)
    • Equinumerosity or "is in bijection with"
    • Isomorphic
    • Equipollent line segments
  • Tolerance relation, a reflexive and symmetric relation:
    • Dependency relation, a finite tolerance relation
    • Independency relation, the complement of some dependency relation
  • Kinship relations

Generalizations

  • A binary relation in general need not be homogeneous, it is defined to be a subset RX × Y for arbitrary sets X and Y.
  • A finitary relation is a subset RX1 × ... × X**n for some natural number n and arbitrary sets X1, ..., X**n, it is also called an n-ary relation.

References

References

  1. Michael Winter. (2007). "Goguen Categories: A Categorical Approach to L-fuzzy Relations". Springer.
  2. M. E. Müller. (2012). "Relational Knowledge Discovery". Cambridge University Press.
  3. (2001). "Mathematical Foundations of Computational Engineering: A Handbook". Springer Science & Business Media.
  4. (8 November 2012). "Fuzzy Mathematics: An Introduction for Engineers and Scientists". Physica.
  5. (6 December 2012). "Scheduling Theory. Single-Stage Systems". Springer Science & Business Media.
  6. (29 June 2009). "Touch of Class: Learning to Program Well with Objects and Contracts". Springer Science & Business Media.
  7. (2004). "Transposing Relations: From Maybe Functions to Hash Tables".
  8. (2006). "A Transition to Advanced Mathematics". Brooks/Cole.
  9. (2002). "Foundations of Logic and Mathematics: Applications to Computer Science and Cryptography". Springer.
  10. (2007). "Transitive Closures of Binary Relations I". School of Mathematics – Physics Charles University.
  11. Since neither 5 divides 3, nor 3 divides 5, nor 3=5.
  12. "Condition for Well-Foundedness".
  13. (15 December 2000). "Theory of Relations". Elsevier.
  14. (2012). ["Relations and Graphs: Discrete Mathematics for Computer Scientists"]({{Google books). Springer.
  15. Rosenstein, Joseph G.. (1982). "Linear orderings". Academic Press.
  16. (1993). "Relations and Graphs: Discrete Mathematics for Computer Scientists". Springer.
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