Connected relation


In mathematics, a relation on a set is called connected or total if it relates (or "compares") all distinct pairs of elements of the set in one direction or the other while it is called strongly connected if it relates all pairs of elements. As described in the terminology section below, the terminology for these properties is not uniform. This notion of "total" should not be confused with that of a total relation in the sense that for all there is a so that (see serial relation).

Connectedness features prominently in the definition of total orders: a total (or linear) order is a partial order in which any two elements are comparable; that is, the order relation is connected. Similarly, a strict partial order that is connected is a strict total order. A relation is a total order if and only if it is both a partial order and strongly connected. A relation is a strict total order if, and only if, it is a strict partial order and just connected. A strict total order can never be strongly connected (except on an empty domain).

Formal definitionEdit

A relation   on a set   is called connected when for all  

or, equivalently, when for all  

A relation with the property that for all  

is called strongly connected.[1][2][3]


The main use of the notion of connected relation is in the context of orders, where it is used to define total, or linear, orders. In this context, the property is often not specifically named. Rather, total orders are defined as partial orders in which any two elements are comparable.[4][5] Thus, total is used more generally for relations that are connected or strongly connected.[6] However, this notion of "total relation" must be distinguished from the property of being serial, which is also called total. Similarly, connected relations are sometimes called complete,[7] although this, too, can lead to confusion: The universal relation is also called complete,[8] and "complete" has several other meanings in order theory. Connected relations are also called connex[9][10] or said to satisfy trichotomy[11] (although the more common definition of trichotomy is stronger in that exactly one of the three options   must hold).

When the relations considered are not orders, being connected and being strongly connected are importantly different properties. Sources which define both then use pairs of terms such as weakly connected and connected,[12] complete and strongly complete,[13] total and complete,[6] semiconnex and connex,[14] or connex and strictly connex,[15] respectively, as alternative names for the notions of connected and strongly connected as defined above.


Let   be a homogeneous relation. The following are equivalent:[14]

  •   is strongly connected;
  •  ;
  •  ;
  •   is asymmetric,

where   is the universal relation and   is the converse relation of  

The following are equivalent:[14]

  •   is connected;
  •  ;
  •  ;
  •   is antisymmetric,

where   is the complementary relation of the identity relation   and   is the converse relation of  

Introducing progressions, Russell invoked the axiom of connection:

Whenever a series is originally given by a transitive asymmetrical relation, we can express connection by the condition that any two terms of our series are to have the generating relation.


  • The edge relation[note 1]   of a tournament graph   is always a connected relation on the set of  's vertices.
  • If a strongly connected relation is symmetric, it is the universal relation.
  • A relation is strongly connected if, and only if, it is connected and reflexive.[proof 1]
  • A connected relation on a set   cannot be antitransitive, provided   has at least 4 elements.[16] On a 3-element set   for example, the relation   has both properties.
  • If   is a connected relation on   then all, or all but one, elements of   are in the range of  [proof 2] Similarly, all, or all but one, elements of   are in the domain of  


  1. ^ Defined formally by   if a graph edge leads from vertex   to vertex  
  1. ^ For the only if direction, both properties follow trivially. — For the if direction: when   then   follows from connectedness; when     follows from reflexivity.
  2. ^ If   then   and   are impossible, so   follows from connectedness.


  1. ^ Clapham, Christopher; Nicholson, James (2014-09-18). "connected". The Concise Oxford Dictionary of Mathematics. Oxford University Press. ISBN 978-0-19-967959-1. Retrieved 2021-04-12.
  2. ^ Nievergelt, Yves (2015-10-13). Logic, Mathematics, and Computer Science: Modern Foundations with Practical Applications. Springer. p. 182. ISBN 978-1-4939-3223-8.
  3. ^ Causey, Robert L. (1994). Logic, Sets, and Recursion. Jones & Bartlett Learning. ISBN 0-86720-463-X., p. 135
  4. ^ Paul R. Halmos (1968). Naive Set Theory. Princeton: Nostrand. Here: Ch.14. Halmos gives the names of reflexivity, anti-symmetry, and transitivity, but not of connectedness.
  5. ^ Patrick Cousot (1990). "Methods and Logics for Proving Programs". In Jan van Leeuwen (ed.). Formal Models and Semantics. Handbook of Theoretical Computer Science. Vol. B. Elsevier. pp. 841–993. ISBN 0-444-88074-7. Here: Sect.6.3, p.878
  6. ^ a b Aliprantis, Charalambos D.; Border, Kim C. (2007-05-02). Infinite Dimensional Analysis: A Hitchhiker's Guide. Springer. ISBN 978-3-540-32696-0., p. 6
  7. ^ Makinson, David (2012-02-27). Sets, Logic and Maths for Computing. Springer. ISBN 978-1-4471-2500-6., p. 50
  8. ^ Whitehead, Alfred North; Russell, Bertrand (1910). Principia Mathematica. Cambridge: Cambridge University Press.{{cite book}}: CS1 maint: date and year (link)
  9. ^ Wall, Robert E. (1974). Introduction to Mathematical Linguistics. Prentice-Hall. page 114.
  10. ^ Carl Pollard. "Relations and Functions" (PDF). Ohio State University. Retrieved 2018-05-28. Page 7.
  11. ^ Kunen, Kenneth (2009). The Foundations of Mathematics. College Publications. ISBN 978-1-904987-14-7. p. 24
  12. ^ Fishburn, Peter C. (2015-03-08). The Theory of Social Choice. Princeton University Press. p. 72. ISBN 978-1-4008-6833-9.
  13. ^ Roberts, Fred S. (2009-03-12). Measurement Theory: Volume 7: With Applications to Decisionmaking, Utility, and the Social Sciences. Cambridge University Press. ISBN 978-0-521-10243-8. page 29
  14. ^ a b c Schmidt, Gunther; Ströhlein, Thomas (1993). Relations and Graphs: Discrete Mathematics for Computer Scientists. Berlin: Springer. ISBN 978-3-642-77970-1.
  15. ^ Ganter, Bernhard; Wille, Rudolf (2012-12-06). Formal Concept Analysis: Mathematical Foundations. Springer Science & Business Media. ISBN 978-3-642-59830-2. p. 86
  16. ^ Jochen Burghardt (Jun 2018). Simple Laws about Nonprominent Properties of Binary Relations (Technical Report). arXiv:1806.05036. Bibcode:2018arXiv180605036B. Lemma 8.2, p.8.