SLIDE 1 Definition. A relation R on a set A is called a partial ordering or a partial
- rder if it is reflexive, antisymmetric and transitive.
Then we denote this relation and say that the pair (A, ) is a partially ordered set, often poset for short.
SLIDE 2
Fact. Let (A, ) be a partially ordered set. Then the restriction to an arbitrary subset of A is also a partial ordering.
SLIDE 3
Fact. If (A, ) is a partially ordered set, then (A, −1) is also a poset.
SLIDE 4 Algorithm for deducing a Hasse diagram of a partially ordered set (A, ) for A finite.
- 1. Find elements a ∈ A that are never on the right in (sharp) relation
pairs, that is, in position x a (arrows do not end in them). Arrange them in the bottom row. Remove these elements from A and remove all relation pairs involving these elements.
- 2. In the remaining set find elements that are never on the right in
relation pairs. Arrange them into a second row counting from the
- bottom. Connect them with the points in the first row whenever
there is a relation there. Remove these elements from A, remove relation pairs involving these elements.
- 3. In the remaining set find elements that are never on the right
in relation pairs. Arrange them into a new row. Connect them with the points in the previous row whenever there is a relation
- there. Connect them with lower rows whenever there is a relation
there and there is no upwards path made of already existing edges. Remove these elements from A, remove relation pairs involving these elements. Repeat this step until no elements are left.
SLIDE 5 Definition. Let (A, ) be a partially ordered set and ≺ the corresponding derived
- relation. Let M be a non-empty subset of A.
We say that m ∈ A is the least element of M if m ∈ M and m x for all x ∈ M. We say that m ∈ A is the greatest element of M if m ∈ M and x m for all x ∈ M. We say that m ∈ A is minimal in M or a minimum of M, denoted m = min(M), if m ∈ M and there is no x ∈ M such that x ≺ m. We say that m ∈ A is maximal in M or a maximum of M, denoted m = max(M), if m ∈ M and there is no x ∈ M such that m ≺ x.
SLIDE 6
Theorem. Let (A, ) be a partially ordered set, consider a non-empty subset M ⊆ A. Then the following are true: (i) If there exists a least element of M, then it is unique. If there exists a greatest element of M, then it is unique. (ii) If m1 = min(M), m2 = min(M) and m1 m2, then m1 = m2. If m1 = max(M), m2 = max(M) and m1 m2, then m1 = m2. (iii) If m is the least element of M then m = min(M) and there is no other minimum of M. If m is the greatest element of M then m = max(M) and there is no other maximum of M.
SLIDE 7
Theorem. Let (A, ) be a partially ordered set. If M is a finite non-empty subset of A, then min(M) and max(M) exist.
SLIDE 8
Definition. Let (A, ) be a partially ordered set. We say that a, b ∈ A are comparable if a b or b a.
SLIDE 9
Definition. Let (A, ) be a partially ordered set. We say that is a total order or a linear order if every two elements of A are comparable.
SLIDE 10
Theorem. Let (A, ) be a linearly ordered set. If M is its non-empty finite subset, then it has the least and the greatest element.
SLIDE 11
Theorem. Let (A, ) be a finite partially ordered set. It is a linear order if and only if the elements of A can be written as A = {a1, . . . , an} in such a a way that a1 ≺ a2 ≺ · · · ≺ an.
SLIDE 12
Definition. Let (A, ) be a partially ordered set. A relation L on A is called a linear extension of if (A, L) is a linear order and ⊆L, that is, for all a, b ∈ A satisfying a b we also have a L b.
SLIDE 13
Theorem. For every finite linearly ordered set (A, ) there exists a linear ex- tension L on A.
SLIDE 14 procedure topological sort((A, )) k := 0; while A = ∅ do k := k + 1 ak := min(A) A := A − {ak};
- utput: (a1 ≺L a2 ≺L · · · ≺L ak);
SLIDE 15 Definition. Let (A, ) be a partially ordered set. We say that (A, ) is a well-ordered set if every non-empty subset
SLIDE 16
Fact. Every well-ordering is also a linear ordering.
SLIDE 17
Axiom (well-ordering principle) (N, ≤) is a well-ordered set.
SLIDE 18
Definition. Consider partially ordered sets (A1, 1), . . . , (An, n). We define the lexicographic ordering on A = A1 × · · · × An as follows: For a = (a1, . . . , an), b = (b1, . . . , bn) ∈ A we set a L b exactly if ai = bi for all i = 1, . . . , n (that is, if a = b) or there exists and index k such that ai = bi for all i satisfying 1 ≤ i < k and ak ≺k bk.
SLIDE 19 Theorem. Consider well-ordered sets (A1, 1), . . . , (An, n). Then A = A1 × · · · × An equipped with the lexicographic ordering L is a well-