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A Hasse diagram of the divisors of , ordered by the relation is divisor of, with the upper set colored green. The white sets form the lower set

In mathematics, an upper set (also called an upward closed set, an upset, or an isotone set in X)[1] of a partially ordered set is a subset such that if s is in S and if x in X is larger than s, that is, if , then x is in S.

A lower set (also called a downward closed set, down set, decreasing set, or semi-ideal) is defined similarly as being a subset S of X with the property that any element x of X that precedes an element of S is necessarily also an element of S.

For a well-ordered set, a lower set is also called an initial segment especially in set theory. An initial segment (but usually not an upper set) is sometimes also defined more generally for a set with a binary relation R like a poset; namely, the same definition but with R in place of <.[2]

Definition

Let be a preordered set. An upper set in (also called an upward closed set, up set, increasing set, or an isotone set)[1] is a subset that is “closed under going up”, in the sense that

for all and all if then

The dual notion is a lower set (also called a downward closed set, down set, decreasing set, initial segment, or a semi-ideal), which is a subset that is “closed under going down”, in the sense that

for all and all if then

The term order ideal is sometimes used as a synonym for a lower set.[3][4][5] However, an ideal is also commonly defined specifically as a lower set which is upward directed.[6][7]

Properties of upper and lower sets

The following properties are stated in terms of upper sets; the corresponding dual properties for lower sets also hold.

  • Every preordered set is an upper set of itself.
  • The intersection and the union of any family of upper sets is again an upper set.
  • The complement of an upper set is a lower set, and vice versa.
  • Given a partially ordered set the family of upper sets of ordered with the inclusion relation is a complete lattice, the upper set lattice.
  • Every upper set of a finite partially ordered set is equal to the smallest upper set containing all minimal elements of
  • For partial orders satisfying the descending chain condition, antichains and upper sets are in one-to-one correspondence via the following bijections: map each antichain to its upper closure (see below); conversely, map each upper set to the set of its minimal elements. This correspondence does not hold for more general partial orders; for example the sets of real numbers and are both mapped to the empty antichain.

Initial segments of well-ordered sets

Initial segments[a] are often used in the study of well-ordered sets (posets in which each nonempty subset has a least element) and well-founded sets. For example, an ordinal number is a well-ordered set such that each element in it is the initial segment

[8]

Initial segments are also used in the statement of the transfinite recursion theorem.

Properties of initial segments include:

  • If is a well-ordered set, then every initial segment of , other than itself, is of the form for some .[9]
  • A well-ordered set is never isomorphic to a proper initial segment of itself.[10] Also, given two well-ordered sets , either is isomorphic to an initial segment of or is isomorphic to an initial segment of .
  • A morphism between well-ordered sets sends initial segments to initial segments, where a morphism is an injective order-preserving map whose image is an initial segment.[11]
  • Initial segments give an ordering on the class of well-ordered sets; namely, if and only if is a subset with the ordering restricted from and is an initial segment of .[12] The union of a chain of well-ordered sets is then well-ordered, where a chain is with respect to .[12] For ordinals, this ordering given by initial segments coincides with set inclusion.[13]
  • A set with a binary relation is well-founded if and only if it is covered by well-founded initial segments.[14]

Upper closure and lower closure

Given an element of a partially ordered set the upper closure or upward closure of denoted by or is defined by while the lower closure or downward closure of , denoted by or is defined by

The sets and are, respectively, the smallest upper and lower sets containing as an element. More generally, given a subset the upper closure and lower closure of are defined as and

The upper closure and lower closure of a set are, respectively, the smallest upper set and lower set containing it. Upper and lower sets of the form and are called principal.

The upper and lower closures, when viewed as functions from the power set of to itself, are examples of Kuratowski closure operators (cf. § Scott topology). As a result, the upper closure of a set is equal to the intersection of all upper sets containing it, and similarly for lower sets.

In category theory, a poset can be (and often is) viewed as a category by writing a morphism if and only if . Then the lower closure corresponds to the slice category over , while the upper closure that under .[15]

Let be a poset.[16] Then we have[17]

where is the power set of and is the lower closure of . The map is an embedding in the sense it is injective and monotone

[18]

Thus, the above construction can be used to replace a given ordering by set inclusion and also yields advantages such as that a least upper bound always exists (possibly outside the image of ); namely, a union. This trick is used in particular by Halmos in his Naive Set Theory to reduce a proof of Zorn’s lemma to the case of posets of sets.[19]

As Paul Taylor points out, the above is an analog of an embedding in the Yoneda lemma in category theory.[20]

Scott topology

A function between posets is said to be Scott-continuous if it is monotone (it preserves ) and preserves directed sups.[21] Then a poset carries a topology where a subset is open if and only if the characteristic function on is Scott-continuous. This topology is called the Scott topology. Explicitly, an open set in this topology is exactly an upper set such that if for a directed set , then is in for some .[22] The intuition here is that a sup corresponds to the best approximation and so if the best approximation is available in the set, some finite approximation is already in that set.

The Scott topology appears prominently in domain theory, a branch of order theory with a strong connection to computer science. Like the Zariski topology used in algebraic geometry, the Scott topology is an important example of a non-Hausdorff topological space.

See also

Notes

  1. ^ In set theory, the term “initial segment” is commonly used instead of “lower set”.

References

  1. ^ a b Dolecki & Mynard 2016, pp. 27–29.
  2. ^ Taylor 1999, Definition 2.6.5.
  3. ^ Brian A. Davey; Hilary Ann Priestley (2002). Introduction to Lattices and Order (2nd ed.). Cambridge University Press. pp. 20, 44. ISBN 0-521-78451-4. LCCN 2001043910.
  4. ^ Stanley, R.P. (2002). Enumerative combinatorics. Cambridge studies in advanced mathematics. Vol. 1. Cambridge University Press. p. 100. ISBN 978-0-521-66351-9.
  5. ^ Lawson, M.V. (1998). Inverse semigroups: the theory of partial symmetries. World Scientific. p. 22. ISBN 978-981-02-3316-7.
  6. ^ Taylor (1999), p. 141: “A directed lower subset of a poset X is called an ideal”
  7. ^ Gierz, G.; Hofmann, K. H.; Keimel, K.; Lawson, J. D.; Mislove, M. W.; Scott, D. S. (2003). Continuous Lattices and Domains. Encyclopedia of Mathematics and its Applications. Vol. 93. Cambridge University Press. p. 3. ISBN 0521803381.
  8. ^ Halmos 1960, § 19
  9. ^ Tao 2009, Well-ordered sets, Exercise 5.
  10. ^ Halmos 1960, § 18
  11. ^ Tao 2009, Well-ordered sets, Exercise 7.
  12. ^ a b Halmos 1960, § 17
  13. ^ Halmos 1960, § 20.
  14. ^ Taylor 1999, Propositon 2.6,6,
  15. ^ Taylor 1999, Example 3.1.6. (f)., footnote 1.
  16. ^ Editorial note: there is probably a preorder version too.
  17. ^ Taylor 1999, Proposition 3.2.7.
  18. ^ Taylor 1999, Proposition 3.1.8. (a).
  19. ^ Halmos 1960, § 16.
  20. ^ Taylor 1999, § 3.1. NB: This exact remark does not appear directly but is clearly implicit in the cited section.
  21. ^ Taylor 1999, § 3.4.
  22. ^ Taylor 1999, Proposition 3.4.9.

Further reading