Partially ordered set
In mathematics, especially order theory, a partially ordered set (also poset) formalizes and generalizes the intuitive concept of an ordering, sequencing, or arrangement of the elements of a set. A poset consists of a set together with a binary relation indicating that, for certain pairs of elements in the set, one of the elements precedes the other in the ordering. The word "partial" in the names "partial order" or "partially ordered set" is used as an indication that not every pair of elements need be comparable. That is, there may be pairs of elements for which neither element precedes the other in the poset. Partial orders thus generalize total orders, in which every pair is comparable.
To be a partial order, a binary relation must be reflexive (each element is comparable to itself), antisymmetric (no two different elements precede each other), and transitive (the start of a chain of precedence relations must precede the end of the chain).
One familiar example of a partially ordered set is a collection of people ordered by genealogical descendancy. Some pairs of people bear the descendantancestor relationship, but other pairs of people are incomparable, with neither being a descendent of the other.
A poset can be visualized through its Hasse diagram, which depicts the ordering relation.^{[1]}
Contents
 1 Formal definition
 2 Examples
 3 Extrema
 4 Orders on the Cartesian product of partially ordered sets
 5 Sums of partially ordered sets
 6 Strict and nonstrict partial orders
 7 Inverse and order dual
 8 Mappings between partially ordered sets
 9 Number of partial orders
 10 Linear extension
 11 In category theory
 12 Partial orders in topological spaces
 13 Interval
 14 See also
 15 Notes
 16 References
 17 External links
Formal definition
A (nonstrict) partial order^{[2]} is a binary relation ≤ over a set P satisfying particular axioms which are discussed below. When a ≤ b, we say that a is related to b. (This does not imply that b is also related to a, because the relation need not be symmetric.)
The axioms for a nonstrict partial order state that the relation ≤ is reflexive, antisymmetric, and transitive. That is, for all a, b, and c in P, it must satisfy:
 a ≤ a (reflexivity: every element is related to itself).
 if a ≤ b and b ≤ a, then a = b (antisymmetry: two distinct elements cannot be related in both directions).
 if a ≤ b and b ≤ c, then a ≤ c (transitivity: if a first element is related to a second element, and, in turn, that element is related to a third element, then the first element is related to the third element).
In other words, a partial order is an antisymmetric preorder.
A set with a partial order is called a partially ordered set (also called a poset). The term ordered set is sometimes also used, as long as it is clear from the context that no other kind of order is meant. In particular, totally ordered sets can also be referred to as "ordered sets", especially in areas where these structures are more common than posets.
For a, b, elements of a partially ordered set P, if a ≤ b or b ≤ a, then a and b are comparable. Otherwise they are incomparable. In the figure on topright, e.g. {x} and {x,y,z} are comparable, while {x} and {y} are not. A partial order under which every pair of elements is comparable is called a total order or linear order; a totally ordered set is also called a chain (e.g., the natural numbers with their standard order). A subset of a poset in which no two distinct elements are comparable is called an antichain (e.g. the set of singletons {{x}, {y}, {z}} in the topright figure). An element a is said to be covered by another element b, written a<:b, if a is strictly less than b and no third element c fits between them; formally: if both a≤b and a≠b are true, and a≤c≤b is false for each c with a≠c≠b. A more concise definition will be given below using the strict order corresponding to "≤". For example, {x} is covered by {x,z} in the topright figure, but not by {x,y,z}.
Examples
Standard examples of posets arising in mathematics include:
 The real numbers ordered by the standard lessthanorequal relation ≤ (a totally ordered set as well).
 The set of subsets of a given set (its power set) ordered by inclusion (see the figure on topright). Similarly, the set of sequences ordered by subsequence, and the set of strings ordered by substring.
 The set of natural numbers equipped with the relation of divisibility.
 The vertex set of a directed acyclic graph ordered by reachability.
 The set of subspaces of a vector space ordered by inclusion.
 For a partially ordered set P, the sequence space containing all sequences of elements from P, where sequence a precedes sequence b if every item in a precedes the corresponding item in b. Formally, (a_{n})_{n∈ℕ} ≤ (b_{n})_{n∈ℕ} if and only if a_{n} ≤ b_{n} for all n in ℕ, i.e. a componentwise order.
 For a set X and a partially ordered set P, the function space containing all functions from X to P, where f ≤ g if and only if f(x) ≤ g(x) for all x in X.
 A fence, a partially ordered set defined by an alternating sequence of order relations a < b > c < d ...
 The set of events in special relativity, where for two events X and Y, X ≤ Y if and only if Y is in the future light cone of X. An event Y can only be causally affected by X if X ≤ Y.
Extrema
There are several notions of "greatest" and "least" element in a poset P, notably:
 Greatest element and least element: An element g in P is a greatest element if for every element a in P, a ≤ g. An element m in P is a least element if for every element a in P, a ≥ m. A poset can only have one greatest or least element.
 Maximal elements and minimal elements: An element g in P is a maximal element if there is no element a in P such that a > g. Similarly, an element m in P is a minimal element if there is no element a in P such that a < m. If a poset has a greatest element, it must be the unique maximal element, but otherwise there can be more than one maximal element, and similarly for least elements and minimal elements.
 Upper and lower bounds: For a subset A of P, an element x in P is an upper bound of A if a ≤ x, for each element a in A. In particular, x need not be in A to be an upper bound of A. Similarly, an element x in P is a lower bound of A if a ≥ x, for each element a in A. A greatest element of P is an upper bound of P itself, and a least element is a lower bound of P.
For example, consider the positive integers, ordered by divisibility: 1 is a least element, as it divides all other elements; on the other hand this poset does not have a greatest element (although if one would include 0 in the poset, which is a multiple of any integer, that would be a greatest element; see figure). This partially ordered set does not even have any maximal elements, since any g divides for instance 2g, which is distinct from it, so g is not maximal. If the number 1 is excluded, while keeping divisibility as ordering on the elements greater than 1, then the resulting poset does not have a least element, but any prime number is a minimal element for it. In this poset, 60 is an upper bound (though not a least upper bound) of the subset {2,3,5,10}, which does not have any lower bound (since 1 is not in the poset); on the other hand 2 is a lower bound of the subset of powers of 2, which does not have any upper bound.
Orders on the Cartesian product of partially ordered sets
In order of increasing strength, i.e., decreasing sets of pairs, three of the possible partial orders on the Cartesian product of two partially ordered sets are (see figures):
 the lexicographical order: (a,b) ≤ (c,d) if a < c or (a = c and b ≤ d);
 the product order: (a,b) ≤ (c,d) if a ≤ c and b ≤ d;
 the reflexive closure of the direct product of the corresponding strict orders: (a,b) ≤ (c,d) if (a < c and b < d) or (a = c and b = d).
All three can similarly be defined for the Cartesian product of more than two sets.
Applied to ordered vector spaces over the same field, the result is in each case also an ordered vector space.
See also orders on the Cartesian product of totally ordered sets.
Sums of partially ordered sets
Another way to combine two posets is the ordinal sum^{[3]} (or linear sum^{[4]}), Z = X ⊕ Y, defined on the union of the underlying sets X and Y by the order a ≤_{Z} b if and only if:
 a, b ∈ X with a ≤_{X} b, or
 a, b ∈ Y with a ≤_{Y} b, or
 a ∈ X and b ∈ Y.
If two posets are wellordered, then so is their ordinal sum.^{[5]} The ordinal sum operation is one of two operations used to form seriesparallel partial orders, and in this context is called series composition. The other operation used to form these orders, the disjoint union of two partially ordered sets (with no order relation between elements of one set and elements of the other set) is called in this context parallel composition.
Strict and nonstrict partial orders
In some contexts, the partial order defined above is called a nonstrict (or reflexive, or weak) partial order. In these contexts, a strict (or irreflexive) partial order "<" is a binary relation that is irreflexive, transitive and asymmetric, i.e. which satisfies for all a, b, and c in P:
 not a < a (irreflexivity),
 if a < b and b < c then a < c (transitivity), and
 if a < b then not b < a (asymmetry; implied by irreflexivity and transitivity^{[6]}).
Strict and nonstrict partial orders are closely related. A nonstrict partial order may be converted to a strict partial order by removing all relationships of the form a ≤ a. Conversely, a strict partial order may be converted to a nonstrict partial order by adjoining all relationships of that form. Thus, if "≤" is a nonstrict partial order, then the corresponding strict partial order "<" is the irreflexive kernel given by:
 a < b if a ≤ b and a ≠ b
Conversely, if "<" is a strict partial order, then the corresponding nonstrict partial order "≤" is the reflexive closure given by:
 a ≤ b if a < b or a = b.
This is the reason for using the notation "≤".
Using the strict order "<", the relation "a is covered by b" can be equivalently rephrased as "a<b, but not a<c<b for any c". Strict partial orders are useful because they correspond more directly to directed acyclic graphs (dags): every strict partial order is a dag, and the transitive closure of a dag is both a strict partial order and also a dag itself.
Inverse and order dual
The inverse or converse ≥ of a partial order relation ≤ satisfies x≥y if and only if y≤x. The inverse of a partial order relation is reflexive, transitive, and antisymmetric, and hence itself a partial order relation. The order dual of a partially ordered set is the same set with the partial order relation replaced by its inverse. The irreflexive relation > is to ≥ as < is to ≤.
Any one of the four relations ≤, <, ≥, and > on a given set uniquely determines the other three.
In general two elements x and y of a partial order may stand in any of four mutually exclusive relationships to each other: either x < y, or x = y, or x > y, or x and y are incomparable (none of the other three). A totally ordered set is one that rules out this fourth possibility: all pairs of elements are comparable and we then say that trichotomy holds. The natural numbers, the integers, the rationals, and the reals are all totally ordered by their algebraic (signed) magnitude whereas the complex numbers are not. This is not to say that the complex numbers cannot be totally ordered; we could for example order them lexicographically via x+iy < u+iv if and only if x < u or (x = u and y < v), but this is not ordering by magnitude in any reasonable sense as it makes 1 greater than 100i. Ordering them by absolute magnitude yields a preorder in which all pairs are comparable, but this is not a partial order since 1 and i have the same absolute magnitude but are not equal, violating antisymmetry.
Mappings between partially ordered sets
Given two partially ordered sets (S,≤) and (T,≤), a function f: S → T is called orderpreserving, or monotone, or isotone, if for all x and y in S, x≤y implies f(x) ≤ f(y). If (U,≤) is also a partially ordered set, and both f: S → T and g: T → U are orderpreserving, their composition (g∘f): S → U is orderpreserving, too. A function f: S → T is called orderreflecting if for all x and y in S, f(x) ≤ f(y) implies x≤y. If f is both orderpreserving and orderreflecting, then it is called an orderembedding of (S,≤) into (T,≤). In the latter case, f is necessarily injective, since f(x) = f(y) implies x ≤ y and y ≤ x. If an orderembedding between two posets S and T exists, one says that S can be embedded into T. If an orderembedding f: S → T is bijective, it is called an order isomorphism, and the partial orders (S,≤) and (T,≤) are said to be isomorphic. Isomorphic orders have structurally similar Hasse diagrams (cf. right picture). It can be shown that if orderpreserving maps f: S → T and g: T → S exist such that g∘f and f∘g yields the identity function on S and T, respectively, then S and T are orderisomorphic. ^{[7]}
For example, a mapping f: ℕ → ℙ(ℕ) from the set of natural numbers (ordered by divisibility) to the power set of natural numbers (ordered by set inclusion) can be defined by taking each number to the set of its prime divisors. It is orderpreserving: if x divides y, then each prime divisor of x is also a prime divisor of y. However, it is neither injective (since it maps both 12 and 6 to {2,3}) nor orderreflecting (since besides 12 doesn't divide 6). Taking instead each number to the set of its prime power divisors defines a map g: ℕ → ℙ(ℕ) that is orderpreserving, orderreflecting, and hence an orderembedding. It is not an orderisomorphism (since it e.g. doesn't map any number to the set {4}), but it can be made one by restricting its codomain to g(ℕ). The right picture shows a subset of ℕ and its isomorphic image under g. The construction of such an orderisomorphism into a power set can be generalized to a wide class of partial orders, called distributive lattices, see "Birkhoff's representation theorem".
Number of partial orders
Sequence A001035 in OEIS gives the number of partial orders on a set of n labeled elements:
n  all  transitive  reflexive  preorder  partial order  total preorder  total order  equivalence relation 

0  1  1  1  1  1  1  1  1 
1  2  2  1  1  1  1  1  1 
2  16  13  4  4  3  3  2  2 
3  512  171  64  29  19  13  6  5 
4  65536  3994  4096  355  219  75  24  15 
n  2^{n2}  2^{n2−n}  Σn k=0 k! S(n, k) 
n!  Σn k=0 S(n, k) 

OEIS  A002416  A006905  A053763  A000798  A001035  A000670  A000142  A000110 
The number of strict partial orders is the same as that of partial orders.
If the count is made only up to isomorphism, the seqeuence 1, 1, 2, 5, 16, 63, 318, … (sequence A000112 in the OEIS) is obtained.
Linear extension
A partial order ≤^{*} on a set X is an extension of another partial order ≤ on X provided that for all elements x and y of X, whenever x ≤ y, it is also the case that x ≤^{*} y. A linear extension is an extension that is also a linear (i.e., total) order. Every partial order can be extended to a total order (orderextension principle).^{[8]}
In computer science, algorithms for finding linear extensions of partial orders (represented as the reachability orders of directed acyclic graphs) are called topological sorting.
In category theory
Every poset (and every preorder) may be considered as a category in which every homset has at most one element. More explicitly, let hom(x, y) = {(x, y)} if x ≤ y (and otherwise the empty set) and (y, z)∘(x, y) = (x, z). Such categories are sometimes called posetal.
Posets are equivalent to one another if and only if they are isomorphic. In a poset, the smallest element, if it exists, is an initial object, and the largest element, if it exists, is a terminal object. Also, every preordered set is equivalent to a poset. Finally, every subcategory of a poset is isomorphismclosed.
Partial orders in topological spaces
If P is a partially ordered set that has also been given the structure of a topological space, then it is customary to assume that {(a, b) : a ≤ b} is a closed subset of the topological product space . Under this assumption partial order relations are well behaved at limits in the sense that if , and a_{i} ≤ b_{i} for all i, then a ≤ b.^{[9]}
Interval
For a ≤ b, the closed interval [a,b] is the set of elements x satisfying a ≤ x ≤ b (i.e. a ≤ x and x ≤ b). It contains at least the elements a and b.
Using the corresponding strict relation "<", the open interval (a,b) is the set of elements x satisfying a < x < b (i.e. a < x and x < b). An open interval may be empty even if a < b. For example, the open interval (1,2) on the integers is empty since there are no integers i such that 1 < i < 2.
Sometimes the definitions are extended to allow a > b, in which case the interval is empty.
The halfopen intervals [a,b) and (a,b] are defined similarly.
A poset is locally finite if every interval is finite. For example, the integers are locally finite under their natural ordering. The lexicographical order on the cartesian product ℕ×ℕ is not locally finite, since e.g. (1,2)≤(1,3)≤(1,4)≤(1,5)≤...≤(2,1). Using the interval notation, the property "a is covered by b" can be rephrased equivalently as [a,b] = {a,b}.
This concept of an interval in a partial order should not be confused with the particular class of partial orders known as the interval orders.
See also
 antimatroid, a formalization of orderings on a set that allows more general families of orderings than posets
 causal set
 comparability graph
 complete partial order
 directed set
 graded poset
 incidence algebra
 lattice
 locally finite poset
 Möbius function on posets
 ordered group
 poset topology, a kind of topological space that can be defined from any poset
 Scott continuity – continuity of a function between two partial orders.
 semilattice
 semiorder
 stochastic dominance
 strict weak ordering – strict partial order "<" in which the relation "neither a < b nor b < a" is transitive.
 Zorn's lemma
Notes

^ Merrifield, Richard E.; Simmons, Howard E. (1989). Topological Methods in Chemistry. New York: John Wiley & Sons. p. 28. ISBN 0471838179. Retrieved 27 July 2012.
A partially ordered set is conveniently represented by a Hasse diagram...
 ^ Simovici, Dan A. & Djeraba, Chabane (2008). "Partially Ordered Sets". Mathematical Tools for Data Mining: Set Theory, Partial Orders, Combinatorics. Springer. ISBN 9781848002012.
 ^ Neggers, J.; Kim, Hee Sik (1998), "4.2 Product Order and Lexicographic Order", Basic Posets, World Scientific, pp. 62–63, ISBN 9789810235895
 ^ Davey, B. A.; Priestley, H. A. (2002). Introduction to Lattices and Order (Second ed.). New York: Cambridge University Press. pp. 17–18. ISBN 0521784514 – via Google Books.
 ^ P. R. Halmos (1974). Naive Set Theory. Springer. p. 82. ISBN 9781475716450.
 ^ Flaška, V.; Ježek, J.; Kepka, T.; Kortelainen, J. (2007). Transitive Closures of Binary Relations I. Prague: School of Mathematics  Physics Charles University. p. 1. Lemma 1.1 (iv). Note that this source refers to asymmetric relations as "strictly antisymmetric".
 ^ Davey, B. A.; Priestley, H. A. (2002). "Maps between ordered sets". Introduction to Lattices and Order (2nd ed.). New York: Cambridge University Press. pp. 23–24. ISBN 0521784514. MR 1902334.
 ^ Jech, Thomas (2008) [1973]. The Axiom of Choice. Dover Publications. ISBN 0486466248.
 ^ Ward, L. E. Jr (1954). "Partially Ordered Topological Spaces". Proceedings of the American Mathematical Society. 5 (1): 144–161. doi:10.1090/S00029939195400630165
References
 Deshpande, Jayant V. (1968). "On Continuity of a Partial Order". Proceedings of the American Mathematical Society. 19 (2): 383–386. doi:10.1090/S00029939196802360717.
 Schmidt, Gunther (2010). Relational Mathematics. Encyclopedia of Mathematics and its Applications. 132. Cambridge University Press. ISBN 9780521762687.
 Schröder, Bernd S. W. (2003). Ordered Sets: An Introduction. Birkhäuser, Boston.
 Stanley, Richard P. Enumerative Combinatorics 1. Cambridge Studies in Advanced Mathematics. 49. Cambridge University Press. ISBN 0521663512.
External links
Wikimedia Commons has media related to Hasse diagram. 