In mathematics, a homogeneous relation (also called endorelation) over a set X is a binary relation over X and itself, i.e. it is a subset of the Cartesian product .
It is also simply called a (binary) relation over X.
An example of a homogeneous relation is the relation of kinship, where the relation is over people.
A homogeneous relation R over a set X may be identified with a directed simple graph permitting loops, or if it is symmetric, with an undirected simple graph permitting loops, where X is the vertex set and R is the edge set (there is an edge from a vertex x to a vertex y if and only if ).
It is called the adjacency relation of the graph.
The set of all homogeneous relations \mathcal{B}(X) over a set X is the set  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 semigroup with involution.
Particular homogeneous relations
Some important particular homogeneous relations over a set X (with arbitrary elements , ) are: ; : , i.e.,  holds never; ; : , i.e.,  holds always; ; : I = {(x, x) | x ∈ X}, i.e.,  holds if and only if .
Example
right|thumb|300px Fifteen 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 indicating contact and 0 no contact.
This example expresses a symmetric relation.
Properties
Some important properties that a homogeneous relation  over a set  may have are: ; : for all , .
For example, ≥ is a reflexive relation but > is not.
;  (or ): for all , not .
For example, > is an irreflexive relation, but ≥ is not.
; : for all , if  then .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).
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 , if  then .
; : for all , if  then .
; : for all , if  then  and .
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 red binary relation  is neither irreflexive, nor coreflexive, nor reflexive, since it contains the pair , and , but not , respectively.
The latter two facts also rule out (any kind of) quasi-reflexivity.
; : for all , if  then .
For example, "is a blood relative of" is a symmetric relation, because  is a blood relative of  if and only if  is a blood relative of .
; : for all , if  and  then .
For example, ≥ is an antisymmetric relation; so is >, but vacuously (the condition in the definition is always false).
; : for all , if  then not .
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  defined by  is neither symmetric nor antisymmetric, let alone asymmetric.
; : for all , if  and  then .
A transitive relation is irreflexive if and only if it is asymmetric.
Lemma 1.1 (iv).
This source refers to asymmetric relations as "strictly antisymmetric".
For example, "is ancestor of" is a transitive relation, while "is parent of" is not.
; : for all , if  and  then never .
; : if the complement of R is transitive.
That is, for all , if , then  or .
This is used in pseudo-orders in constructive mathematics.
; : for all , if  and  but neither  nor , then  but not .
; : for all , if  and  are incomparable with respect to  and if the same is true of  and , then  and  are also incomparable with respect to .
This is used in weak orderings.
Again, the previous 5 alternatives are not exhaustive.
For example, the relation  if ( or ) satisfies none of these properties.
On the other hand, the empty relation trivially satisfies all of them.
; : for all  such that , there exists some  such that  and .
This is used in dense orders.
; : for all , if  then  or .
This property is sometimes called "total", which is distinct from the definitions of "left/right-total" given below.
; : for all ,  or .
This property, too, is sometimes called "total", which is distinct from the definitions of "left/right-total" given below.
; : for all , exactly one of ,  or  holds.
For example, > is a trichotomous relation, while the relation "divides" over the natural numbers is not.Since neither 5 divides 3, nor 3 divides 5, nor 3=5.
;  (or just ): for all , if  and  then .
For example, = is a Euclidean relation because if  and  then .
; : for all , if  and  then .
; : every nonempty subset  of  contains a minimal element with respect to .
Well-foundedness implies the descending chain condition (that is, no infinite chain ...  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: ; :for all , the class of all  such that  is a set.
(This makes sense only if relations over proper classes are allowed.) ; :  for all  and all , if  and  then .
; : for all  and all , if  and  then .
;  (also called left-total): for all  there exists a  such that .
This property, although also referred to as total by some authors, is different from the definition of connected (also called total by some authors).
;  (also called right-total): for all , there exists an  such that xRy.
A  is a relation that is reflexive and transitive.
A , also called  or , is a relation that is reflexive, transitive, and connected.
A , also called , is a relation that is reflexive, antisymmetric, and transitive.
A , also called , is a relation that is irreflexive, antisymmetric, and transitive.
A , also called , , or , is a relation that is reflexive, antisymmetric, transitive and connected.Joseph G. Rosenstein, Linear orderings, Academic Press, 1982, , p. 4 A , also called , , or , is a relation that is irreflexive, antisymmetric, transitive and connected.
A  is a relation that is symmetric and transitive.
An  is a relation that is reflexive, symmetric, and transitive.
It is also a relation that is symmetric, transitive, and serial, since these properties imply reflexivity.
Operations
If R is a homogeneous relation over a set X then each of the following is a homogeneous relation over X: ; , R=: 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. ; , R≠: Defined as R≠ = R \ {(x, x) | x ∈ X} or the largest irreflexive relation over X contained in R. ; , 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. ; , R*: Defined as , the smallest preorder containing R. ; , R≡: Defined as the smallest equivalence relation over X containing R.
All operations defined in  also apply to homogeneous relations.
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Homogeneous relations by property
Enumeration
The number of distinct homogeneous relations over an n-element set is  :
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
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 R ⊆ X × Y for arbitrary sets X and Y.
A finitary relation is a subset R ⊆ X1 × ...
× Xn for some natural number n and arbitrary sets X1, ...,  Xn, it is also called an n-ary relation.
References
