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Connected relation

From Wikipedia, the free encyclopedia
Property of a relation on a set
"Connexity" redirects here. For the comparison shopping company, seeConnexity Inc.
Transitive binary relations
SymmetricAntisymmetricConnectedWell-foundedHas joinsHas meetsReflexiveIrreflexiveAsymmetric
Total,
Semiconnex
Anti-
reflexive
Equivalence relationGreen tickYGreen tickY
Preorder(Quasiorder)Green tickY
Partial orderGreen tickYGreen tickY
Total preorderGreen tickYGreen tickY
Total orderGreen tickYGreen tickYGreen tickY
PrewellorderingGreen tickYGreen tickYGreen tickY
Well-quasi-orderingGreen tickYGreen tickY
Well-orderingGreen tickYGreen tickYGreen tickYGreen tickY
LatticeGreen tickYGreen tickYGreen tickYGreen tickY
Join-semilatticeGreen tickYGreen tickYGreen tickY
Meet-semilatticeGreen tickYGreen tickYGreen tickY
Strict partial orderGreen tickYGreen tickYGreen tickY
Strict weak orderGreen tickYGreen tickYGreen tickY
Strict total orderGreen tickYGreen tickYGreen tickYGreen tickY
SymmetricAntisymmetricConnectedWell-foundedHas joinsHas meetsReflexiveIrreflexiveAsymmetric
Definitions,
for alla,b{\displaystyle a,b} andS:{\displaystyle S\neq \varnothing :}
aRbbRa{\displaystyle {\begin{aligned}&aRb\\\Rightarrow {}&bRa\end{aligned}}}aRb and bRaa=b{\displaystyle {\begin{aligned}aRb{\text{ and }}&bRa\\\Rightarrow a={}&b\end{aligned}}}abaRb or bRa{\displaystyle {\begin{aligned}a\neq {}&b\Rightarrow \\aRb{\text{ or }}&bRa\end{aligned}}}minSexists{\displaystyle {\begin{aligned}\min S\\{\text{exists}}\end{aligned}}}abexists{\displaystyle {\begin{aligned}a\vee b\\{\text{exists}}\end{aligned}}}abexists{\displaystyle {\begin{aligned}a\wedge b\\{\text{exists}}\end{aligned}}}aRa{\displaystyle aRa}not aRa{\displaystyle {\text{not }}aRa}aRbnot bRa{\displaystyle {\begin{aligned}aRb\Rightarrow \\{\text{not }}bRa\end{aligned}}}
Green tickY indicates that the column's property is always true for the row's term (at the very left), while indicates that the property is not guaranteed
in general (it might, or might not, hold). For example, that every equivalence relation is symmetric, but not necessarily antisymmetric,
is indicated byGreen tickY in the "Symmetric" column and in the "Antisymmetric" column, respectively.

All definitions tacitly require thehomogeneous relationR{\displaystyle R} betransitive: for alla,b,c,{\displaystyle a,b,c,} ifaRb{\displaystyle aRb} andbRc{\displaystyle bRc} thenaRc.{\displaystyle aRc.}
A term's definition may require additional properties that are not listed in this table.

In mathematics, arelation on a set is calledconnected orcomplete ortotal if it relates (or "compares") alldistinct pairs of elements of the set in one direction or the other while it is calledstrongly connected if it relatesall pairs of elements. As described in theterminology 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 allxX{\displaystyle x\in X} there is ayX{\displaystyle y\in X} so thatxRy{\displaystyle x\mathrel {R} y} (seeserial relation).

Connectedness features prominently in the definition oftotal orders: a total (or linear) order is apartial order in which any two elements are comparable; that is, the order relation is connected. Similarly, astrict partial order that is connected is a strict total order.A relation is a total orderif and only if it is both a partial order and strongly connected. A relation is astrict 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).

Some authors do however use the termconnected with a much looser meaning, which applies to precisely those orders whosecomparability graphs areconnected graphs. This applies for instance to thefences, of which none of the nontrivial examples are total orders.

Formal definition

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A relationR{\displaystyle R} on a setX{\displaystyle X} is calledconnected when for allx,yX,{\displaystyle x,y\in X,} if xy then xRyoryRx,{\displaystyle {\text{ if }}x\neq y{\text{ then }}x\mathrel {R} y\quad {\text{or}}\quad y\mathrel {R} x,}or, equivalently, when for allx,yX,{\displaystyle x,y\in X,}xRyoryRxorx=y.{\displaystyle x\mathrel {R} y\quad {\text{or}}\quad y\mathrel {R} x\quad {\text{or}}\quad x=y.}

A relation with the property that for allx,yX,{\displaystyle x,y\in X,}xRyoryRx{\displaystyle x\mathrel {R} y\quad {\text{or}}\quad y\mathrel {R} x}is calledstrongly connected.[1][2][3]

Terminology

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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 beingserial, which is also called total. Similarly, connected relations are sometimes calledcomplete,[7] although this, too, can lead to confusion: Theuniversal relation is also called complete,[8] and "complete" has several other meanings inorder theory.Connected relations are also calledconnex[9][10] or said to satisfytrichotomy[11] (although the more common definition oftrichotomy is stronger in thatexactly one of the three optionsxRy,yRx,x=y{\displaystyle x\mathrel {R} y,y\mathrel {R} x,x=y} 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 asweakly connected andconnected,[12]complete andstrongly complete,[13]total andcomplete,[6]semiconnex andconnex,[14] orconnex andstrictly connex,[15] respectively, as alternative names for the notions of connected and strongly connected as defined above.

Characterizations

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LetR{\displaystyle R} be ahomogeneous relation. The following are equivalent:[14]

whereU{\displaystyle U} is theuniversal relation andR{\displaystyle R^{\top }} is theconverse relation ofR.{\displaystyle R.}

The following are equivalent:[14]

whereR¯{\displaystyle {\overline {R}}} is thecomplementary relation ofR{\displaystyle R},I{\displaystyle I} is theidentity relation andR{\displaystyle R^{\top }} is theconverse relation ofR{\displaystyle R}.

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 thegenerating relation.

— Bertrand Russell,The Principles of Mathematics, page 239

Properties

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Notes

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  1. ^Defined formally byvEw{\displaystyle vEw} if a graph edge leads from vertexv{\displaystyle v} to vertexw{\displaystyle w}
Proofs
  1. ^For theonly if direction, both properties follow trivially. — For theif direction: whenxy,{\displaystyle x\neq y,} thenxRyyRx{\displaystyle x\mathrel {R} y\lor y\mathrel {R} x} follows from connectedness; whenx=y,{\displaystyle x=y,}xRy{\displaystyle x\mathrel {R} y} follows from reflexivity.
  2. ^Ifx,yXran(R),{\displaystyle x,y\in X\setminus \operatorname {ran} (R),} thenxRy{\displaystyle x\mathrel {R} y} andyRx{\displaystyle y\mathrel {R} x} are impossible, sox=y{\displaystyle x=y} follows from connectedness.

References

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  1. ^Clapham, Christopher; Nicholson, James (2014-09-18). "connected".The Concise Oxford Dictionary of Mathematics. Oxford University Press.ISBN 978-0-19-967959-1. Retrieved2021-04-12.
  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. ^abAliprantis, 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.
  9. ^Wall, Robert E. (1974).Introduction to Mathematical Linguistics. Prentice-Hall. page 114.
  10. ^Carl Pollard."Relations and Functions"(PDF). Ohio State University. Retrieved2018-05-28. 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. ^abcSchmidt, 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.
Key concepts
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Properties & Types (list)
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