Relation (mathematics)
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In mathematics, a finitary relation is defined by one of the formal definitions given below.
 The basic idea is to generalize the concept of a twoplace relation, such as the relation of equality denoted by the sign “” in a statement like or the relation of order denoted by the sign “” in a statement like Relations that involve two places or roles are called binary relations by some and dyadic relations by others, the latter being historically prior but also useful when necessary to avoid confusion with binary (base 2) numerals.
 The concept of a twoplace relation is generalized by considering relations with increasing but still finite numbers of places or roles. These are called finiteplace or finitary relations. A finitary relation involving places is variously called a ary, adic, or dimensional relation. The number is then called the arity, the adicity, or the dimension of the relation, respectively.
Informal introduction
editThe definition of relation given in the next section formally captures a concept that is actually quite familiar from everyday life. For example, consider the relationship, involving three roles that people might play, expressed in a statement of the form The facts of a concrete situation could be organized in the form of a Table like the one below:
Each row of the Table records a fact or makes an assertion of the form For instance, the first row says, in effect, The Table represents a relation over the set of people under discussion:
The data of the Table are equivalent to the following set of ordered triples:

By a slight overuse of notation, it is usual to write to say the same thing as the first row of the Table. The relation is a triadic or ternary relation, since there are three items involved in each row. The relation itself is a mathematical object, defined in terms of concepts from set theory, that carries all the information from the Table in one neat package.
The Table for relation is an extremely simple example of a relational database. The theoretical aspects of databases are the specialty of one branch of computer science, while their practical impacts have become all too familiar in our everyday lives. Computer scientists, logicians, and mathematicians, however, tend to see different things when they look at these concrete examples and samples of the more general concept of a relation.
For one thing, databases are designed to deal with empirical data, and experience is always finite, whereas mathematics is nothing if not concerned with infinity, at the very least, potential infinity. This difference in perspective brings up a number of ideas that are usefully introduced at this point, if by no means covered in depth.
Example 1. Divisibility
editA more typical example of a twoplace relation in mathematics is the relation of divisibility between two positive integers and that is expressed in statements like or This is a relation that comes up so often that a special symbol is reserved to express it, allowing one to write for
To express the binary relation of divisibility in terms of sets, we have the set of positive integers, and we have the binary relation on such that the ordered pair is in the relation just in case In other turns of phrase that are frequently used, one says that the number is related by to the number just in case is a factor of that is, just in case divides with no remainder. The relation regarded as a set of ordered pairs, consists of all pairs of numbers such that divides
For example, is a factor of and is a factor of which two facts can be written either as and or as and
Formal definitions
editThere are two definitions of place relations that are commonly encountered in mathematics. In order of simplicity, the first of these definitions is as follows:
Definition 1. A relation over the sets is a subset of their cartesian product, written Under this definition, then, a ary relation is simply a set of tuples.
The second definition makes use of an idiom that is common in mathematics, saying that “such and such is an tuple” to mean that the mathematical object being defined is determined by the specification of component mathematical objects. In the case of a relation over sets, there are things to specify, namely, the sets plus a subset of their cartesian product. In the idiom, this is expressed by saying that is a tuple.
Definition 2. A relation over the sets is a tuple where is a subset of the cartesian product called the graph of
Elements of a relation are sometimes denoted by using boldface characters, for example, the constant element or the variable element
A statement of the form “ is in the relation ” is taken to mean that is in under the first definition and that is in under the second definition.
The following considerations apply under either definition:
 The sets for are called the domains of the relation. In the case of the first definition, the relation itself does not uniquely determine a given sequence of domains.
 If all the domains are the same set then is more simply referred to as a ary relation over
 If any domain is empty then the cartesian product is empty and the only relation over such a sequence of domains is the empty relation Most applications of the relation concept will set aside this trivial case and assume that all domains are nonempty.
If is a relation over the domains it is conventional to consider a sequence of terms called variables, that are said to range over the respective domains.
A boolean domain is a generic 2element set, say, whose elements are interpreted as logical values, typically and
The characteristic function of the relation written or is the booleanvalued function defined in such a way that just in case the tuple is in the relation The characteristic function of a relation may also be called its indicator function, especially in probabilistic and statistical contexts.
It is conventional in applied mathematics, computer science, and statistics to refer to a booleanvalued function like as a place predicate. From the more abstract viewpoints of formal logic and model theory, the relation is seen as constituting a logical model or a relational structure that serves as one of many possible interpretations of a corresponding place predicate symbol, as that term is used in predicate calculus.
Due to the convergence of many traditions of study, there are wide variations in the language used to describe relations. The extensional approach presented in this article treats a relation as the settheoretic extension of a relational concept or term. An alternative, intensional approach reserves the term relation to the corresponding logical entity, either the logical comprehension, which is the totality of intensions or abstract properties that all the elements of the extensional relation have in common, or else the symbols that are taken to denote those elements and intensions.
Example 2. Coplanarity
editFor lines in threedimensional space, there is a triadic relation picking out the triples of lines that are coplanar. This does not reduce to the dyadic relation of coplanarity between pairs of lines.
In other words, writing when the lines lie in a plane, and for the binary relation, it is not true that and together imply although the converse is certainly true: any two of three coplanar lines are necessarily coplanar. There are two geometrical reasons for this.
In one case, for example taking the axis, axis, and axis, the three lines are concurrent, that is, they intersect at a single point. In another case, can be three edges of an infinite triangular prism.
What is true is that if each pair of lines intersects, and the points of intersection are distinct, then pairwise coplanarity implies coplanarity of the triple.
Remarks
editRelations are classified by the number of sets in the cartesian product, in other words, the number of places or terms in the relational expression:
Monadic or unary relation, in other words, a property or set  
Dyadic or binary relation  
Triadic or ternary relation  
Tetradic or quaternary relation  
Pentadic or quinary relation 
Relations with more than five terms are usually referred to as adic or ary, for example, a 6adic, 6ary, or hexadic relation.
References
edit Peirce, C.S. (1870), “Description of a Notation for the Logic of Relatives, Resulting from an Amplification of the Conceptions of Boole's Calculus of Logic”, Memoirs of the American Academy of Arts and Sciences 9, 317–378, 1870. Reprinted, Collected Papers CP 3.45–149, Chronological Edition CE 2, 359–429.
 Ulam, S.M., and Bednarek, A.R. (1990), “On the Theory of Relational Structures and Schemata for Parallel Computation”, pp. 477–508 in A.R. Bednarek and Françoise Ulam (eds.), Analogies Between Analogies : The Mathematical Reports of S.M. Ulam and His Los Alamos Collaborators, University of California Press, Berkeley, CA.
Bibliography
edit Bourbaki, N. (1994), Elements of the History of Mathematics, John Meldrum (trans.), SpringerVerlag, Berlin, Germany.
 Halmos, P.R. (1960), Naive Set Theory, D. Van Nostrand Company, Princeton, NJ.
 Lawvere, F.W., and Rosebrugh, R. (2003), Sets for Mathematics, Cambridge University Press, Cambridge, UK.
 Maddux, R.D. (2006), Relation Algebras, vol. 150 in Studies in Logic and the Foundations of Mathematics, Elsevier Science.
 Mili, A., Desharnais, J., Mili, F., with Frappier, M. (1994), Computer Program Construction, Oxford University Press, New York, NY.
 Minsky, M.L., and Papert, S.A. (1969/1988), Perceptrons, An Introduction to Computational Geometry, MIT Press, Cambridge, MA, 1969. Expanded edition, 1988.
 Peirce, C.S. (1984), Writings of Charles S. Peirce : A Chronological Edition, Volume 2, 1867–1871, Peirce Edition Project (eds.), Indiana University Press, Bloomington, IN.
 Royce, J. (1961), The Principles of Logic, Philosophical Library, New York, NY.
 Tarski, A. (1956/1983), Logic, Semantics, Metamathematics, Papers from 1923 to 1938, J.H. Woodger (trans.), 1st edition, Oxford University Press, 1956. 2nd edition, J. Corcoran (ed.), Hackett Publishing, Indianapolis, IN, 1983.
 Ulam, S.M. (1990), Analogies Between Analogies : The Mathematical Reports of S.M. Ulam and His Los Alamos Collaborators, A.R. Bednarek and Françoise Ulam (eds.), University of California Press, Berkeley, CA.
 Venetus, P. (1984), Logica Parva, Translation of the 1472 Edition with Introduction and Notes, Alan R. Perreiah (trans.), Philosophia Verlag, Munich, Germany.
Syllabus
editFocal nodes
editPeer nodes
editLogical operators
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