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Inmathematics, atotal order orlinear order is apartial order in which any two elements are comparable. That is, a total order is abinary relation on someset, which satisfies the following for all and in:
Requirements 1. to 3. just make up the definition of a partial order.Reflexivity (1.) already follows from strong connectedness (4.), but is required explicitly by many authors nevertheless, to indicate the kinship to partial orders.[1]Total orders are sometimes also calledsimple,[2]connex,[3] orfull orders.[4]
A set equipped with a total order is atotally ordered set;[5] the termssimply ordered set,[2]linearly ordered set,[3][5]toset[6] andloset[7][8] are also used. The termchain is sometimes defined as a synonym oftotally ordered set,[5] but generally refers to a totally ordered subset of a given partially ordered set.
An extension of a given partial order to a total order is called alinear extension of that partial order.
For delimitation purposes, a total order as definedabove is sometimes callednon-strict order.For each (non-strict) total order there is an associated relation, called thestrict total order associated with that can be defined in two equivalent ways:
Conversely, thereflexive closure of a strict total order is a (non-strict) total order.
Thus, astrict total order on a set is astrict partial order on in which any two distinct elements are comparable. That is, a strict total order is abinary relation on someset, which satisfies the following for all and in:
Asymmetry follows from transitivity and irreflexivity;[a] moreover, irreflexivity follows from asymmetry.[b]
The termchain is sometimes defined as a synonym for a totally ordered set, but it is generally used for referring to asubset of apartially ordered set that is totally ordered for the induced order.[1][10] Typically, the partially ordered set is a set of subsets of a given set that is ordered by inclusion, and the term is used for stating properties of the set of the chains. This high number of nested levels of sets explains the usefulness of the term.
A common example of the use ofchain for referring to totally ordered subsets isZorn's lemma which asserts that, if every chain in a partially ordered setX has an upper bound inX, thenX contains at least one maximal element.[11] Zorn's lemma is commonly used withX being a set of subsets; in this case, the upper bound is obtained by proving that the union of the elements of a chain inX is inX. This is the way that is generally used to prove that avector space hasHamel bases and that aring hasmaximal ideals.
In some contexts, the chains that are considered are order isomorphic to the natural numbers with their usual order or itsopposite order. In this case, a chain can be identified with amonotone sequence, and is called anascending chain or adescending chain, depending whether the sequence is increasing or decreasing.[12]
A partially ordered set has thedescending chain condition if every descending chain eventually stabilizes.[13] For example, an order iswell founded if it has the descending chain condition. Similarly, theascending chain condition means that every ascending chain eventually stabilizes. For example, aNoetherian ring is a ring whoseideals satisfy the ascending chain condition.
In other contexts, only chains that arefinite sets are considered. In this case, one talks of afinite chain, often shortened as achain. In this case, thelength of a chain is the number of inequalities (or set inclusions) between consecutive elements of the chain; that is, the number minus one of elements in the chain.[14] Thus asingleton set is a chain of length zero, and anordered pair is a chain of length one. Thedimension of a space is often defined or characterized as the maximal length of chains of subspaces. For example, thedimension of a vector space is the maximal length of chains oflinear subspaces, and theKrull dimension of acommutative ring is the maximal length of chains ofprime ideals.
"Chain" may also be used for some totally ordered subsets ofstructures that are not partially ordered sets. An example is given byregular chains of polynomials. Another example is the use of "chain" as a synonym for awalk in agraph.
One may define a totally ordered set as a particular kind oflattice, namely one in which we have
We then writea ≤bif and only if. Hence a totally ordered set is adistributive lattice.
A simplecounting argument will verify that any non-empty finite totally ordered set (and hence any non-empty subset thereof) has a least element. Thus every finite total order is in fact awell order. Either by direct proof or by observing that every well order isorder isomorphic to anordinal one may show that every finite total order isorder isomorphic to aninitial segment of the natural numbers ordered by <. In other words, a total order on a set withk elements induces a bijection with the firstk natural numbers. Hence it is common to index finite total orders or well orders withorder type ω by natural numbers in a fashion which respects the ordering (either starting with zero or with one).
Totally ordered sets form afull subcategory of thecategory ofpartially ordered sets, with themorphisms being maps which respect the orders, i.e. mapsf such that ifa ≤b thenf(a) ≤f(b).
Abijectivemap between two totally ordered sets that respects the two orders is anisomorphism in this category.
For any totally ordered setX we can define theopen intervals
We can use these open intervals to define atopology on any ordered set, theorder topology.
When more than one order is being used on a set one talks about the order topology induced by a particular order. For instance ifN is the natural numbers,< is less than and> greater than we might refer to the order topology onN induced by< and the order topology onN induced by> (in this case they happen to be identical but will not in general).
The order topology induced by a total order may be shown to be hereditarilynormal.
A totally ordered set is said to becomplete if every nonempty subset that has anupper bound, has aleast upper bound. For example, the set ofreal numbersR is complete but the set ofrational numbersQ is not. In other words, the various concepts ofcompleteness (not to be confused with being "total") do not carry over torestrictions. For example, over thereal numbers a property of the relation≤ is that everynon-empty subsetS ofR with anupper bound inR has aleast upper bound (also called supremum) inR. However, for the rational numbers this supremum is not necessarily rational, so the same property does not hold on the restriction of the relation≤ to the rational numbers.
There are a number of results relating properties of the order topology to the completeness of X:
A totally ordered set (with its order topology) which is acomplete lattice iscompact. Examples are the closed intervals of real numbers, e.g. theunit interval [0,1], and theaffinely extended real number system (extended real number line). There are order-preservinghomeomorphisms between these examples.
For any two disjoint total orders and, there is a natural order on the set, which is called the sum of the two orders or sometimes just:
Intuitively, this means that the elements of the second set are added on top of the elements of the first set.
More generally, if is a totally ordered index set, and for each the structure is a linear order, where the sets are pairwise disjoint, then the natural total order on is defined by
Thefirst-order theory of total orders is decidable, i.e. there is an algorithm for deciding which first-order statements hold for all total orders. Using interpretability inS2S, themonadic second-order theory ofcountable total orders is also decidable.[15]
There are several ways to take two totally ordered sets and extend to an order on theCartesian product, though the resulting order may only bepartial. Here are three of these possible orders, listed such that each order is stronger than the next:
Each of these orders extends the next in the sense that if we havex ≤y in the product order, this relation also holds in the lexicographic order, and so on. All three can similarly be defined for the Cartesian product of more than two sets.
Applied to thevector spaceRn, each of these make it anordered vector space.
See alsoexamples of partially ordered sets.
A real function ofn real variables defined on a subset ofRndefines a strict weak order and a corresponding total preorder on that subset.
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in general (it might, or might not, hold). For example, that every equivalence relation is symmetric, but not necessarily antisymmetric, is indicated by All definitions tacitly require thehomogeneous relation betransitive: for all if and then |
A binary relation that is antisymmetric, transitive, and reflexive (but not necessarily total) is apartial order.
Agroup with a compatible total order is atotally ordered group.
There are only a few nontrivial structures that are (interdefinable as) reducts of a total order. Forgetting the orientation results in abetweenness relation. Forgetting the location of the ends results in acyclic order. Forgetting both data results use ofpoint-pair separation to distinguish, on a circle, the two intervals determined by a point-pair.[16]