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Linear extension
Mathematical ordering of a partial order
Mathematical ordering of a partial order
In order theory, a branch of mathematics, a linear extension of a partial order is a total order (or linear order) that is compatible with the partial order. As a classic example, the lexicographic order of totally ordered sets is a linear extension of their product order.
Definitions
Linear extension of a partial order
A partial order is a reflexive, transitive and antisymmetric relation. Given any partial orders ,\leq, and ,\leq^, on a set X, ,\leq^, is a linear extension of ,\leq, exactly when
- ,\leq^*, is a total order, and
- For every x, y \in X, if x \leq y, then x \leq^* y.
It is that second property that leads mathematicians to describe ,\leq^*, as extending ,\leq.
Alternatively, a linear extension may be viewed as an order-preserving bijection from a partially ordered set P to a chain C on the same ground set.
Linear extension of a preorder
A preorder is a reflexive and transitive relation. The difference between a preorder and a partial-order is that a preorder allows two different items to be considered "equivalent", that is, both x\precsim y and y\precsim x hold, while a partial-order allows this only when x=y. A relation \precsim^* is called a linear extension of a preorder \precsim if:
- \precsim^* is a total preorder, and
- For every x, y \in X, if x\precsim y then x\precsim^* y , and
- For every x, y \in X, if x\prec y then x\prec^* y . Here, x\prec y means "x \precsim y and not y \precsim x". The difference between these definitions is only in condition 3. When the extension is a partial order, condition 3 need not be stated explicitly, since it follows from condition 2. Proof: suppose that x \precsim y and not y \precsim x. By condition 2, x\precsim^* y. By reflexivity, "not y \precsim x" implies that y\neq x. Since \precsim^ is a partial order, x\precsim^ y and y\neq x imply "not y\precsim^ x". Therefore, x\prec^ y.
However, for general preorders, condition 3 is needed to rule out trivial extensions. Without this condition, the preorder by which all elements are equivalent (y \precsim x and x \precsim y hold for all pairs x,y) would be an extension of every preorder.
Order-extension principle
The statement that every partial order can be extended to a total order is known as the order-extension principle. A proof using the axiom of choice was first published by Edward Marczewski (Szpilrajin) in 1930. Marczewski writes that the theorem had previously been proven by Stefan Banach, Kazimierz Kuratowski, and Alfred Tarski, again using the axiom of choice, but that the proofs had not been published.{{citation
There is an analogous statement for preorders: every preorder can be extended to a total preorder. This statement was proved by Hansson.
In modern axiomatic set theory the order-extension principle is itself taken as an axiom, of comparable ontological status to the axiom of choice. The order-extension principle is implied by the Boolean prime ideal theorem or the equivalent compactness theorem,{{citation | orig-year=originally published in 1973
Applying the order-extension principle to a partial order in which every two elements are incomparable shows that (under this principle) every set can be linearly ordered. This assertion that every set can be linearly ordered is known as the ordering principle, OP, and is a weakening of the well-ordering theorem. However, there are models of set theory in which the ordering principle holds while the order-extension principle does not.{{citation | editor1-last = Scott | editor1-first = Dana S. | editor2-last = Jech | editor2-first = Thomas J.
Algebraic combinatorics
Counting the number of linear extensions of a finite poset is a common problem in algebraic combinatorics. This number is given by the leading coefficient of the order polynomial multiplied by |P|!.
Young diagrams can be considered a finite order-ideal in the infinite poset \N \times \N. Similarly, standard Young tableaux can be considered as linear extensions of a poset corresponding to the Young diagram. For the (usual) Young diagrams, linear extensions are counted by the hook length formula. For the skew Young diagrams, linear extensions are counted by a determinantal formula.{{citation
References
References
- Hansson, Bengt. (1968). "Choice Structures and Preference Relations". Synthese.
- [[Sergey Kislitsyn. (1968). "Finite partially ordered sets and their associated sets of permutations". Matematicheskie Zametki.
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