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 productX × X.[1][2][3] This is commonly phrased as "a relation on X"[4] or "a (binary) relation over X".[5][6] 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
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Some particular homogeneous relations over a set X (with arbitrary elements x1, x2) are:
I = {(x, x) | x ∈ X}; that is, x1Ix2 holds if and only if x1 = x2.
Example
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Af
An
Ar
Au
Ca
Co
Eu
In
Ju
NA
Na
Pa
Ph
SA
Sc
So
African
Af
Antarctic
An
Arabian
Ar
Australian
Au
Caribbean
Ca
Cocos
Co
Eurasian
Eu
Indian
In
Juan de Fuca
Ju
North american
NA
Nazca
Na
Pacific
Pa
Philippine
Ph
South american
SA
Scotia
Sc
Somali
So
Matrix representation of the relation "is adjacent to" on the set of tectonic plates
The binary relation that describes whether two tectonic plates are in contact is a homogenous relation, because both the first and second argument are from the same set. (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 "") indicating contact and 0 ("") no contact. This example expresses a symmetric relation.
Properties
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Some important properties that a homogeneous relation R over a set X may have are:
for all x, y ∈ X, if xRy then x = y.[7] 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.
for all x, y ∈ X, 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 y = x2 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.
for all x, y ∈ X, 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.
for all x, y ∈ X, if xRy and yRx then x = y. For example, ≥ is an antisymmetric relation; so is >, but vacuously (the condition in the definition is always false).[8]
for all x, y ∈ X, if xRy then not yRx. A relation is asymmetric if and only if it is both antisymmetric and irreflexive.[9] 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.
for all x, y, z ∈ X, if xRy and yRz then xRz. A transitive relation is irreflexive if and only if it is asymmetric.[10] For example, "is ancestor of" is a transitive relation, while "is parent of" is not.
if the complement of R is transitive. That is, for all x, y, z ∈ X, if xRz, then xRy or yRz. This is used in pseudo-orders in constructive mathematics.
for all x, y, z ∈ X, 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 (y = 0 or y = x+1) satisfies none of these properties. On the other hand, the empty relation trivially satisfies all of them.
for all x, y ∈ X, if x ≠ y then xRy or yRx. This property is sometimes[citation needed] called "total", which is distinct from the definitions of "left/right-total" given below.
for all x, y ∈ X, xRy or yRx. This property, too, is sometimes[citation needed] called "total", which is distinct from the definitions of "left/right-total" given below.
for all x, y ∈ X, exactly one of xRy, yRx or x = y holds. For example, > is a trichotomous relation on the real numbers, while the relation "divides" over the natural numbers is not.[11]
for all x ∈ X there exists a y ∈ Y such that xRy. This property is different from the definition of connected (also called total by some authors).[citation needed]
Surjective (also called right-total)
for all y ∈ Y, there exists an x ∈ X 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,[citation needed] is a relation that is reflexive, antisymmetric, and transitive. A strict partial order, also called strict order,[citation needed] 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.[15] 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.
Implications and conflicts between properties of homogeneous binary relations
Implications (blue) and conflicts (red) between properties (yellow) of homogeneous binary relations. For example, every asymmetric relation is irreflexive ("ASym⇒Irrefl"), and no relation on a non-empty set can be both irreflexive and reflexive ("Irrefl#Refl"). Omitting the red edges results in a Hasse diagram.
Operations
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If R is a homogeneous relation over a set X then each of the following is a homogeneous relation over X:
Defined as R= = {(x, x) | x ∈ X} ∪ R 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 R≠ = R \ {(x, x) | x ∈ X} or the largest irreflexive relation over X contained in 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 R* = (R+)=, the smallest preorder containing R.
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 n = 0 the relation is its own complement. The non-symmetric ones can be grouped into quadruples (relation, complement, inverse, inverse complement).
A binary relation in general need not be homogeneous, it is defined to be a subset R ⊆ X × Y for arbitrary sets X and Y.
A finitary relation is a subset R ⊆ X1 × ... × Xn for some natural numbern and arbitrary sets X1, ..., Xn, it is also called an n-ary relation.
References
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^Michael Winter (2007). Goguen Categories: A Categorical Approach to L-fuzzy Relations. Springer. pp. x–xi. ISBN 978-1-4020-6164-6.
^M. E. Müller (2012). Relational Knowledge Discovery. Cambridge University Press. p. 22. ISBN 978-0-521-19021-3.
^Peter J. Pahl; Rudolf Damrath (2001). Mathematical Foundations of Computational Engineering: A Handbook. Springer Science & Business Media. p. 496. ISBN 978-3-540-67995-0.
^Mordeson, John N.; Nair, Premchand S. (8 November 2012). Fuzzy Mathematics: An Introduction for Engineers and Scientists. Physica. p. 2. ISBN 978-3-7908-1808-6.
^Tanaev, V.; Gordon, W.; Shafransky, Yakov M. (6 December 2012). Scheduling Theory. Single-Stage Systems. Springer Science & Business Media. p. 41. ISBN 978-94-011-1190-4.
^Meyer, Bertrand (29 June 2009). Touch of Class: Learning to Program Well with Objects and Contracts. Springer Science & Business Media. p. 509. ISBN 978-3-540-92145-5.
^Fonseca de Oliveira, J. N., & Pereira Cunha Rodrigues, C. D. J. (2004). Transposing Relations: From Maybe Functions to Hash Tables. In Mathematics of Program Construction (p. 337).
^Smith, Douglas; Eggen, Maurice; St. Andre, Richard (2006), A Transition to Advanced Mathematics (6th ed.), Brooks/Cole, p. 160, ISBN 0-534-39900-2
^Nievergelt, Yves (2002), Foundations of Logic and Mathematics: Applications to Computer Science and Cryptography, Springer-Verlag, p. 158.
^Flaška, V.; Ježek, J.; Kepka, T.; Kortelainen, J. (2007). Transitive Closures of Binary Relations I(PDF). Prague: School of Mathematics – Physics Charles University. p. 1. Archived from the original (PDF) on 2013-11-02. Lemma 1.1 (iv). This source refers to asymmetric relations as "strictly antisymmetric".
^Since neither 5 divides 3, nor 3 divides 5, nor 3=5.
^"Condition for Well-Foundedness". ProofWiki. Archived from the original on 20 February 2019. Retrieved 20 February 2019.
^Fraisse, R. (15 December 2000). Theory of Relations, Volume 145 - 1st Edition (1st ed.). Elsevier. p. 46. ISBN 9780444505422. Retrieved 20 February 2019.
^Gunther Schmidt & Thomas Strohlein (2012)[1987] Relations and Graphs, p. 54, at Google Books
^Joseph G. Rosenstein, Linear orderings, Academic Press, 1982, ISBN 0-12-597680-1, p. 4
^Schmidt, Gunther; Ströhlein, Thomas (1993). "Homogeneous Relations". Relations and Graphs: Discrete Mathematics for Computer Scientists. Berlin, Heidelberg: Springer. p. 14. doi:10.1007/978-3-642-77968-8_2. ISBN 978-3-642-77968-8.