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Weak ordering

From Wikipedia, the free encyclopedia
Mathematical ranking of a set
Not to be confused withWeak order of permutations.
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.

A weak order on the set{a,b,c,d}{\displaystyle \{a,b,c,d\}} whereb{\displaystyle b} andc{\displaystyle c} are of equal rank,a{\displaystyle a} is ranked below them, andd{\displaystyle d} is ranked above them.
I) representation as a strict weak order<{\displaystyle \,<\,} wherex<y{\displaystyle x<y} is shown as an arrow fromx{\displaystyle x} toy{\displaystyle y};
II) representation as a total preorder{\displaystyle \,\leq \,}, shown using arrows;
III) representation as an ordered partition, with the sets of the partition as dotted ellipses and the total order on these sets shown with arrows.
The 13 possible strict weak orderings on a set of three elements{a,b,c}.{\displaystyle \{a,b,c\}.} The onlytotal orders are shown in black. Two orderings are connected by an edge if they differ by a single dichotomy.

Inmathematics, especiallyorder theory, aweak ordering is a mathematical formalization of the intuitive notion of aranking of aset, some of whose members may betied with each other. Weak orders are a generalization oftotally ordered sets (rankings without ties) and are in turn generalized by (strictly)partially ordered sets andpreorders.[1]

There are several common ways of formalizing weak orderings, that are different from each other butcryptomorphic (interconvertable with no loss of information): they may be axiomatized asstrict weak orderings (strictly partially ordered sets in which incomparability is atransitive relation), astotal preorders (transitive binary relations in which at least one of the two possible relations exists between every pair of elements), or asordered partitions (partitions of the elements into disjoint subsets, together with a total order on the subsets). In many cases another representation called apreferential arrangement based on autility function is also possible.

Weak orderings are counted by theordered Bell numbers. They are used incomputer science as part ofpartition refinement algorithms, and in theC++ Standard Library.[2]

Examples

[edit]

Inhorse racing, the use ofphoto finishes has eliminated some, but not all, ties or (as they are called in this context)dead heats, so the outcome of a horse race may be modeled by a weak ordering.[3] In an example from theMaryland Hunt Cup steeplechase in 2007, The Bruce was the clear winner, but two horses Bug River and Lear Charm tied for second place, with the remaining horses farther back; three horses did not finish.[4] In the weak ordering describing this outcome, The Bruce would be first, Bug River and Lear Charm would be ranked after The Bruce but before all the other horses that finished, and the three horses that did not finish would be placed last in the order but tied with each other.

The points of theEuclidean plane may be ordered by theirdistance from theorigin, giving another example of a weak ordering with infinitely many elements, infinitely many subsets of tied elements (the sets of points that belong to a commoncircle centered at the origin), and infinitely many points within these subsets. Although this ordering has a smallest element (the origin itself), it does not have any second-smallest elements, nor any largest element.

Opinion polling in political elections provides an example of a type of ordering that resembles weak orderings, but is better modeled mathematically in other ways. In the results of a poll, one candidate may be clearly ahead of another, or the two candidates may be statistically tied, meaning not that their poll results are equal but rather that they are within themargin of error of each other. However, if candidatex{\displaystyle x} is statistically tied withy,{\displaystyle y,} andy{\displaystyle y} is statistically tied withz,{\displaystyle z,} it might still be possible forx{\displaystyle x} to be clearly better thanz,{\displaystyle z,} so being tied is not in this case atransitive relation. Because of this possibility, rankings of this type are better modeled assemiorders than as weak orderings.[5]

Axiomatizations

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Suppose throughout that<{\displaystyle \,<\,} is ahomogeneousbinary relation on a setS{\displaystyle S} (that is,<{\displaystyle \,<\,} is a subset ofS×S{\displaystyle S\times S}) and as usual, writex<y{\displaystyle x<y} and say thatx<y{\displaystyle x<y} holds oris true if and only if(x,y)<.{\displaystyle (x,y)\in \,<.\,}

Strict weak orderings

[edit]

Preliminaries on incomparability and transitivity of incomparability

Two elementsx{\displaystyle x} andy{\displaystyle y} ofS{\displaystyle S} are said to beincomparable with respect to<{\displaystyle \,<\,} if neitherx<y{\displaystyle x<y} nory<x{\displaystyle y<x} is true.[1] Astrict partial order<{\displaystyle \,<\,} is a strict weak ordering if and only if incomparability with respect to<{\displaystyle \,<\,} is anequivalence relation. Incomparability with respect to<{\displaystyle \,<\,} is always a homogeneoussymmetric relation onS.{\displaystyle S.} It isreflexive if and only if<{\displaystyle \,<\,} isirreflexive (meaning thatx<x{\displaystyle x<x} is always false), which will be assumed so thattransitivity is the only property this "incomparability relation" needs in order to be anequivalence relation.

Define also an induced homogeneous relation{\displaystyle \,\lesssim \,} onS{\displaystyle S} by declaring thatxy is true  if and only if y<x is false{\displaystyle x\lesssim y{\text{ is true }}\quad {\text{ if and only if }}\quad y<x{\text{ is false}}} where importantly, this definition isnot necessarily the same as:xy{\displaystyle x\lesssim y} if and only ifx<y or x=y.{\displaystyle x<y{\text{ or }}x=y.} Two elementsx,yS{\displaystyle x,y\in S} are incomparable with respect to<{\displaystyle \,<\,} if and only ifx and y{\displaystyle x{\text{ and }}y} areequivalent with respect to{\displaystyle \,\lesssim \,} (or less verbosely,{\displaystyle \,\lesssim }-equivalent), which by definition means that bothxy and yx{\displaystyle x\lesssim y{\text{ and }}y\lesssim x} are true. The relation "are incomparable with respect to<{\displaystyle \,<}" is thus identical to (that is, equal to) the relation "are{\displaystyle \,\lesssim }-equivalent" (so in particular, the former is transitive if and only if the latter is). When<{\displaystyle \,<\,} is irreflexive then the property known as "transitivity of incomparability" (defined below) isexactly the condition necessary and sufficient to guarantee that the relation "are{\displaystyle \,\lesssim }-equivalent" does indeed form an equivalence relation onS.{\displaystyle S.} When this is the case, it allows any two elementsx,yS{\displaystyle x,y\in S} satisfyingxy and yx{\displaystyle x\lesssim y{\text{ and }}y\lesssim x} to be identified as a single object (specifically, they are identified together in their commonequivalence class).

Definition

Astrict weak ordering on a setS{\displaystyle S} is astrict partial order<{\displaystyle \,<\,} onS{\displaystyle S} for which theincomparability relation induced onS{\displaystyle S} by<{\displaystyle \,<\,} is atransitive relation.[1] Explicitly, a strict weak order onS{\displaystyle S} is ahomogeneous relation<{\displaystyle \,<\,} onS{\displaystyle S} that has all four of the following properties:

  1. Irreflexivity: For allxS,{\displaystyle x\in S,} it is not true thatx<x.{\displaystyle x<x.}
  2. Transitivity: For allx,y,zS,{\displaystyle x,y,z\in S,} ifx<y and y<z{\displaystyle x<y{\text{ and }}y<z} thenx<z.{\displaystyle x<z.}
  3. Asymmetry: For allx,yS,{\displaystyle x,y\in S,} ifx<y{\displaystyle x<y} is true theny<x{\displaystyle y<x} is false.
  4. Transitivity of incomparability: For allx,y,zS,{\displaystyle x,y,z\in S,} ifx{\displaystyle x} is incomparable withy{\displaystyle y} (meaning that neitherx<y{\displaystyle x<y} nory<x{\displaystyle y<x} is true) and ify{\displaystyle y} is incomparable withz,{\displaystyle z,} thenx{\displaystyle x} is incomparable withz.{\displaystyle z.}

Properties (1), (2), and (3) are the defining properties of a strict partial order, although there is some redundancy in this list as asymmetry (3) implies irreflexivity (1), and also because irreflexivity (1) and transitivity (2) together imply asymmetry (3).[6] The incomparability relation is alwayssymmetric and it will bereflexive if and only if<{\displaystyle \,<\,} is an irreflexive relation (which is assumed by the above definition). Consequently, a strict partial order<{\displaystyle \,<\,} is a strict weak order if and only if its induced incomparability relation is anequivalence relation. In this case, itsequivalence classespartitionS{\displaystyle S} and moreover, the setP{\displaystyle {\mathcal {P}}} of these equivalence classes can bestrictly totally ordered by abinary relation, also denoted by<,{\displaystyle \,<,} that is defined for allA,BP{\displaystyle A,B\in {\mathcal {P}}} by:

A<B if and only if a<b{\displaystyle A<B{\text{ if and only if }}a<b} for some (or equivalently, for all) representativesaA and bB.{\displaystyle a\in A{\text{ and }}b\in B.}

Conversely, anystrict total order on apartitionP{\displaystyle {\mathcal {P}}} ofS{\displaystyle S} gives rise to a strict weak ordering<{\displaystyle \,<\,} onS{\displaystyle S} defined bya<b{\displaystyle a<b} if and only if there exists setsA,BP{\displaystyle A,B\in {\mathcal {P}}} in this partition such thataA,bB, and A<B.{\displaystyle a\in A,b\in B,{\text{ and }}A<B.}

Not every partial order obeys the transitive law for incomparability. For instance, consider the partial order in the set{a,b,c}{\displaystyle \{a,b,c\}} defined by the relationshipb<c.{\displaystyle b<c.} The pairsa,b and a,c{\displaystyle a,b{\text{ and }}a,c} are incomparable butb{\displaystyle b} andc{\displaystyle c} are related, so incomparability does not form an equivalence relation and this example is not a strict weak ordering.

For transitivity of incomparability, each of the following conditions isnecessary, and for strict partial orders alsosufficient:

Total preorders

[edit]

Strict weak orders are very closely related tototal preorders or(non-strict) weak orders, and the same mathematical concepts that can be modeled with strict weak orderings can be modeled equally well with total preorders. A total preorder or weak order is apreorder in which any two elements are comparable.[7] A total preorder{\displaystyle \,\lesssim \,} satisfies the following properties:

Atotal order is a total preorder which is antisymmetric, in other words, which is also apartial order. Total preorders are sometimes also calledpreference relations.

Thecomplement of a strict weak order is a total preorder, and vice versa, but it seems more natural to relate strict weak orders and total preorders in a way that preserves rather than reverses the order of the elements. Thus we take theconverse of the complement: for a strict weak ordering<,{\displaystyle \,<,} define a total preorder{\displaystyle \,\lesssim \,} by settingxy{\displaystyle x\lesssim y} whenever it is not the case thaty<x.{\displaystyle y<x.} In the other direction, to define a strict weak ordering < from a total preorder,{\displaystyle \,\lesssim ,} setx<y{\displaystyle x<y} whenever it is not the case thatyx.{\displaystyle y\lesssim x.}[8]

In any preorder there is acorresponding equivalence relation where two elementsx{\displaystyle x} andy{\displaystyle y} are defined asequivalent ifxy and yx.{\displaystyle x\lesssim y{\text{ and }}y\lesssim x.} In the case of atotal preorder the corresponding partial order on the set of equivalence classes is a total order. Two elements are equivalent in a total preorder if and only if they are incomparable in the corresponding strict weak ordering.

Ordered partitions

[edit]

Apartition of a setS{\displaystyle S} is a family of non-empty disjoint subsets ofS{\displaystyle S} that haveS{\displaystyle S} as their union. A partition, together with atotal order on the sets of the partition, gives a structure called byRichard P. Stanley anordered partition[9] and byTheodore Motzkin alist of sets.[10] An ordered partition of a finite set may be written as afinite sequence of the sets in the partition: for instance, the three ordered partitions of the set{a,b}{\displaystyle \{a,b\}} are{a},{b},{\displaystyle \{a\},\{b\},}{b},{a}, and {\displaystyle \{b\},\{a\},\;{\text{ and }}}{a,b}.{\displaystyle \{a,b\}.}

In a strict weak ordering, the equivalence classes of incomparability give a set partition, in which the sets inherit a total ordering from their elements, giving rise to an ordered partition. In the other direction, any ordered partition gives rise to a strict weak ordering in which two elements are incomparable when they belong to the same set in the partition, and otherwise inherit the order of the sets that contain them.

Representation by functions

[edit]

For sets of sufficiently smallcardinality, a fourth axiomatization is possible, based on real-valued functions. IfX{\displaystyle X} is any set then a real-valued functionf:XR{\displaystyle f:X\to \mathbb {R} } onX{\displaystyle X} induces a strict weak order onX{\displaystyle X} by settinga<b if and only if f(a)<f(b).{\displaystyle a<b{\text{ if and only if }}f(a)<f(b).} The associated total preorder is given by settingab if and only if f(a)f(b){\displaystyle a{}\lesssim {}b{\text{ if and only if }}f(a)\leq f(b)} and the associated equivalence by settingab if and only if f(a)=f(b).{\displaystyle a{}\sim {}b{\text{ if and only if }}f(a)=f(b).}

The relations do not change whenf{\displaystyle f} is replaced bygf{\displaystyle g\circ f} (composite function), whereg{\displaystyle g} is astrictly increasing real-valued function defined on at least the range off.{\displaystyle f.} Thus for example, autility function defines apreference relation. In this context, weak orderings are also known aspreferential arrangements.[11]

IfX{\displaystyle X} is finite or countable, every weak order onX{\displaystyle X} can be represented by a function in this way.[12] However, there exist strict weak orders that have no corresponding real function. For example, there is no such function for thelexicographic order onRn.{\displaystyle \mathbb {R} ^{n}.} Thus, while in most preference relation models the relation defines a utility functionup to order-preserving transformations, there is no such function forlexicographic preferences.

More generally, ifX{\displaystyle X} is a set,Y{\displaystyle Y} is a set with a strict weak ordering<,{\displaystyle \,<,\,} andf:XY{\displaystyle f:X\to Y} is a function, thenf{\displaystyle f} induces a strict weak ordering onX{\displaystyle X} by settinga<b if and only if f(a)<f(b).{\displaystyle a<b{\text{ if and only if }}f(a)<f(b).}As before, the associated total preorder is given by settingab if and only if f(a)f(b),{\displaystyle a{}\lesssim {}b{\text{ if and only if }}f(a){}\lesssim {}f(b),} and the associated equivalence by settingab if and only if f(a)f(b).{\displaystyle a{}\sim {}b{\text{ if and only if }}f(a){}\sim {}f(b).} It is not assumed here thatf{\displaystyle f} is aninjective function, so a class of two equivalent elements onY{\displaystyle Y} may induce a larger class of equivalent elements onX.{\displaystyle X.} Also,f{\displaystyle f} is not assumed to be asurjective function, so a class of equivalent elements onY{\displaystyle Y} may induce a smaller or empty class onX.{\displaystyle X.} However, the functionf{\displaystyle f} induces an injective function that maps the partition onX{\displaystyle X} to that onY.{\displaystyle Y.} Thus, in the case of finite partitions, the number of classes inX{\displaystyle X} is less than or equal to the number of classes onY.{\displaystyle Y.}

Related types of ordering

[edit]

Semiorders generalize strict weak orderings, but do not assume transitivity of incomparability.[13] A strict weak order that istrichotomous is called astrict total order.[14] The total preorder which is the inverse of its complement is in this case atotal order.

For a strict weak order<{\displaystyle \,<\,} another associated reflexive relation is itsreflexive closure, a (non-strict) partial order.{\displaystyle \,\leq .} The two associated reflexive relations differ with regard to differenta{\displaystyle a} andb{\displaystyle b} for which neithera<b{\displaystyle a<b} norb<a{\displaystyle b<a}: in the total preorder corresponding to a strict weak order we getab{\displaystyle a\lesssim b} andba,{\displaystyle b\lesssim a,} while in the partial order given by the reflexive closure we get neitherab{\displaystyle a\leq b} norba.{\displaystyle b\leq a.} For strict total orders these two associated reflexive relations are the same: the corresponding (non-strict) total order.[14] The reflexive closure of a strict weak ordering is a type ofseries-parallel partial order.

All weak orders on a finite set

[edit]

Combinatorial enumeration

[edit]
Main article:ordered Bell number

The number of distinct weak orders (represented either as strict weak orders or as total preorders) on ann{\displaystyle n}-element set is given by the following sequence (sequenceA000670 in theOEIS):

Number ofn-element binary relations of different types
Elem­entsAnyTransitiveReflexiveSymmetricPreorderPartial orderTotal preorderTotal orderEquivalence relation
0111111111
1221211111
216134843322
3512171646429191365
465,5363,9944,0961,024355219752415
n2n22n(n−1)2n(n+1)/2n
k=0
k!S(n,k)
n!n
k=0
S(n,k)
OEISA002416A006905A053763A006125A000798A001035A000670A000142A000110

Note thatS(n,k) refers toStirling numbers of the second kind.

These numbers are also called theFubini numbers orordered Bell numbers.

For example, for a set of three labeled items, there is one weak order in which all three items are tied. There are three ways of partitioning the items into onesingleton set and one group of two tied items, and each of these partitions gives two weak orders (one in which the singleton is smaller than the group of two, and one in which this ordering is reversed), giving six weak orders of this type. And there is a single way of partitioning the set into three singletons, which can be totally ordered in six different ways. Thus, altogether, there are 13 different weak orders on three items.

Adjacency structure

[edit]
The permutohedron on four elements, a three-dimensionalconvex polyhedron. It has 24 vertices, 36 edges, and 14 two-dimensional faces, which all together with the whole three-dimensional polyhedron correspond to the 75 weak orderings on four elements.

Unlike for partial orders, the family of weak orderings on a given finite set is not in general connected by moves that add or remove a single order relation to or from a given ordering. For instance, for three elements, the ordering in which all three elements are tied differs by at least two pairs from any other weak ordering on the same set, in either the strict weak ordering or total preorder axiomatizations. However, a different kind of move is possible, in which the weak orderings on a set are more highly connected. Define adichotomy to be a weak ordering with two equivalence classes, and define a dichotomy to becompatible with a given weak ordering if every two elements that are related in the ordering are either related in the same way or tied in the dichotomy. Alternatively, a dichotomy may be defined as aDedekind cut for a weak ordering. Then a weak ordering may be characterized by its set of compatible dichotomies. For a finite set of labeled items, every pair of weak orderings may be connected to each other by a sequence of moves that add or remove one dichotomy at a time to or from this set of dichotomies. Moreover, theundirected graph that has the weak orderings as its vertices, and these moves as its edges, forms apartial cube.[15]

Geometrically, the total orderings of a given finite set may be represented as the vertices of apermutohedron, and the dichotomies on this same set as the facets of the permutohedron. In this geometric representation, the weak orderings on the set correspond to the faces of all different dimensions of the permutohedron (including the permutohedron itself, but not the empty set, as a face). Thecodimension of a face gives the number of equivalence classes in the corresponding weak ordering.[16] In this geometric representation the partial cube of moves on weak orderings is the graph describing thecovering relation of theface lattice of the permutohedron.

For instance, forn=3,{\displaystyle n=3,} the permutohedron on three elements is just a regular hexagon. The face lattice of the hexagon (again, including the hexagon itself as a face, but not including the empty set) has thirteen elements: one hexagon, six edges, and six vertices, corresponding to the one completely tied weak ordering, six weak orderings with one tie, and six total orderings. The graph of moves on these 13 weak orderings is shown in the figure.

Applications

[edit]

As mentioned above, weak orders have applications in utility theory.[12] Inlinear programming and other types ofcombinatorial optimization problem, the prioritization of solutions or of bases is often given by a weak order, determined by a real-valuedobjective function; the phenomenon of ties in these orderings is called "degeneracy", and several types of tie-breaking rule have been used to refine this weak ordering into a total ordering in order to prevent problems caused by degeneracy.[17]

Weak orders have also been used incomputer science, inpartition refinement based algorithms forlexicographic breadth-first search andlexicographic topological ordering. In these algorithms, a weak ordering on the vertices of a graph (represented as a family of sets thatpartition the vertices, together with adoubly linked list providing a total order on the sets) is gradually refined over the course of the algorithm, eventually producing a total ordering that is the output of the algorithm.[18]

In theStandard Library for theC++ programming language, theset and multiset data types sort their input by a comparison function that is specified at the time of template instantiation, and that is assumed to implement a strict weak ordering.[2]

See also

[edit]
  • Comparability – Property of elements related by inequalities
  • Preorder – Reflexive and transitive binary relation
  • Weak component – Partition of vertices of a directed graph − the equivalent subsets in the finest weak ordering consistent with a given relation

References

[edit]
  1. ^abcRoberts, Fred; Tesman, Barry (2011),Applied Combinatorics (2nd ed.), CRC Press, Section 4.2.4 Weak Orders, pp. 254–256,ISBN 9781420099836.
  2. ^abJosuttis, Nicolai M. (2012),The C++ Standard Library: A Tutorial and Reference, Addison-Wesley, p. 469,ISBN 9780132977739.
  3. ^de Koninck, J. M. (2009),Those Fascinating Numbers, American Mathematical Society, p. 4,ISBN 9780821886311.
  4. ^Baker, Kent (April 29, 2007),"The Bruce hangs on for Hunt Cup victory: Bug River, Lear Charm finish in dead heat for second",The Baltimore Sun, archived fromthe original on March 29, 2015.
  5. ^Regenwetter, Michel (2006),Behavioral Social Choice: Probabilistic Models, Statistical Inference, and Applications, Cambridge University Press, pp. 113ff,ISBN 9780521536660.
  6. ^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,S2CID 47676001, archived fromthe original(PDF) on 2018-04-06, Lemma 1.1 (iv). Note that this source refers to asymmetric relations as "strictly antisymmetric".
  7. ^Such a relation is also calledstrongly connected.
  8. ^Ehrgott, Matthias (2005),Multicriteria Optimization, Springer, Proposition 1.9, p. 10,ISBN 9783540276593.
  9. ^Stanley, Richard P. (1997),Enumerative Combinatorics, Vol. 2, Cambridge Studies in Advanced Mathematics, vol. 62, Cambridge University Press, p. 297.
  10. ^Motzkin, Theodore S. (1971), "Sorting numbers for cylinders and other classification numbers",Combinatorics (Proc. Sympos. Pure Math., Vol. XIX, Univ. California, Los Angeles, Calif., 1968), Providence, R.I.: Amer. Math. Soc., pp. 167–176,MR 0332508.
  11. ^Gross, O. A. (1962), "Preferential arrangements",The American Mathematical Monthly,69 (1):4–8,doi:10.2307/2312725,JSTOR 2312725,MR 0130837.
  12. ^abRoberts, Fred S. (1979),Measurement Theory, with Applications to Decisionmaking, Utility, and the Social Sciences, Encyclopedia of Mathematics and its Applications, vol. 7, Addison-Wesley,Theorem 3.1,ISBN 978-0-201-13506-0.
  13. ^Luce, R. Duncan (1956),"Semiorders and a theory of utility discrimination"(PDF),Econometrica,24 (2):178–191,doi:10.2307/1905751,JSTOR 1905751,MR 0078632.
  14. ^abVelleman, Daniel J. (2006),How to Prove It: A Structured Approach, Cambridge University Press, p. 204,ISBN 9780521675994.
  15. ^Eppstein, David;Falmagne, Jean-Claude; Ovchinnikov, Sergei (2008),Media Theory: Interdisciplinary Applied Mathematics, Springer, Section 9.4, Weak Orders and Cubical Complexes, pp. 188–196.
  16. ^Ziegler, Günter M. (1995),Lectures on Polytopes, Graduate Texts in Mathematics, vol. 152, Springer, p. 18.
  17. ^Chvátal, Vašek (1983),Linear Programming, Macmillan, pp. 29–38,ISBN 9780716715870.
  18. ^Habib, Michel; Paul, Christophe; Viennot, Laurent (1999), "Partition refinement techniques: an interesting algorithmic tool kit",International Journal of Foundations of Computer Science,10 (2):147–170,doi:10.1142/S0129054199000125,MR 1759929.
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