- Knaster–Tarski theorem
In the mathematical areas of order and
lattice theory , the Knaster–Tarski theorem, named afterBronisław Knaster andAlfred Tarski , states the following::"Let L be a
complete lattice and let f : L → L be an order-preserving function. Then the set of fixed points of f in L is also a complete lattice."It was Tarski who stated the result in its most general form, and so the theorem is often known as Tarski's fixed point theorem. Some time earlier, however, Knaster established the result for the special case where "L" is the lattice of subsets of a set, the
power set lattice.The theorem has important applications in
formal semantics of programming languages .A kind of converse of this theorem was proved by
Anne C. Davis : If every order preserving function "f : L → L" on alattice "L" has a fixed point, then "L" is a complete lattice.Consequences: least and greatest fixed points
Since complete lattices cannot be empty, the theorem in particular guarantees the existence of at least one fixed point of "f", and even the existence of a "least" (or "greatest") fixed point. In many practical cases, this is the most important implication of the theorem.
The
least fixpoint of "f" is the least element "x" such that "f"("x") = "x", or, equivalently, such that "f"("x") ≤ "x"; the dual holds for thegreatest fixpoint , the greatest element "x" such that "f"("x") = "x".If "f"(lim "x""n")=lim "f"("x""n") for all "x""n" an ascending sequence of elements of L, then the least fixpoint of "f" is lim "f""n"(0) where 0 is the least element of L, thus giving a more "constructive" version of the theorem. (See:
Kleene fixpoint theorem .) More generally, if "f" is monotonic, then the least fixpoint of "f" is the stationary limit of "f"α(0), taking α over theordinal s, where "f"α is defined bytransfinite induction : "f"α+1 = "f" ( "f"α) and "f"γ for a limit ordinal γ is theleast upper bound of the "f"β for all β ordinals less than γ. The dual theorem holds for the greatest fixpoint.For example, in theoretical
computer science ,least fixed point s ofmonotone function s are used to defineprogram semantics . Often a more specialized version of the theorem is used, where "L" is assumed to be the lattice of allsubset s of a certain set ordered by subset inclusion. This reflects the fact that in many applications only such lattices are considered. One then usually is looking for the smallest set that has the property of being a fixed point of the function "f".Abstract interpretation makes ample use of the Knaster–Tarski theorem and the formulas giving the least and greatest fixpoints.Knaster–Tarski theorem can be used for a simple proof of
Cantor–Bernstein–Schroeder theorem .Weaker versions of the theorem
Weaker versions of the Knaster-Tarski theorem can be formulated for ordered sets, but involve more complicated assumptions. For example:
:"Let L be a
partially ordered set with the smallest element (bottom) and let f : L → L be an order-preserving function. Further, suppose there exists u in L such that f(u) ≤ u and that any chain in the subset {x in L : x ≤ f(x), x ≤ u} has supremum. Then f admits the least fixed point."This can be applied to obtain various theorems on invariant sets, e.g. the Ok's theorem:
:"For the monotone map F : P(X) → P(X) on the family of (closed) nonempty subsets of X the following are equivalent: (o) F admits A in P(X) s.t. , (i) F admits invariant set A in P(X) i.e. , (ii) F admits maximal invariant set A, (ii) F admits the greatest invariant set A."
In particular, using the Knaster-Tarski principle one can develop the theory of global attractors for noncontractive discontinuous (multivalued) iterated function systems. For weakly contractive iterated function systems
Kantorovitch fixpoint theorem suffices.Other applications of fixed point principles for ordered sets come from the theory of differential, integral and operator equations.
Proof
Let's restate the theorem.
For a complete lattice and a monotone function on "L", the set of all fixpoints of "f" is also complete lattice , with:
* as the greatest fixpoint of "f"
* as the least fixpoint of "f"."Proof." We′ll begin by showing that "P" has least and greatest element. Let "D" = { "x" | "x" ≤ "f(x)" } and "x" ∈ "D". Then because "f" is monotone we have "f(x)" ≤ "f(f(x))", that is "f(x)" ∈ "D".
Now let "u" = ∪"D". Then "x" ≤ "u" and "f(x)" ≤ "f(u)", so "x" ≤ "f(x)" ≤ "f(u)". Therefore "f(u)" is an upper bound of "D", but "u" is the least upper bound, so "u" ≤ "f(u)", i.e. "u" ∈ "D". Then "f(u)" ∈ "D" and "f(u)" ≤ "u" from which follows "f(u)" = "u". Because every fixpoint is in "D" we have that "u" is the greatest fixpoint of "f".
The function "f" is monotone on the dual (complete) lattice . As we have just proved, its greatest fixpoint there exists. It is the least one on "L", so "P" has least and greatest elements, or more generally that every monotone function on a complete lattice has least and greatest fixpoints.
If "a" ∈ "L" and "b" ∈ "L", we'll write ["a", "b"] for the closed interval with bounds "a" and "b": { x ∈ "L" | "a" ≤ x ≤ "b" }. The closed intervals are also complete lattices.
It remains to be proven that P is complete lattice. Let "1L" = ∪"L", "W" ⊆ "P" and "w" = ∪"W". We′ll show that "f"( ["w", "1L"] ) ⊆ ["w", "1L"] . Indeed for every "x" ∈ "W" we have "x" = "f(x)" ≤ "f(w)", leading to "w" ≤ "f(w)". Then from "y" ∈ ["w", "1L"] follows that "w" ≤ "f(w)" ≤ "f(y)", giving "f(y)" ∈ ["w", "1L"] or simply "f"( ["w", "1L"] ) ⊆ ["w", "1L"] . This allow us to look at "f" as function on the complete lattice ["w", "1L"] . Then it has least fixpoint there, giving us the least upper bound of "W". We′ve shown that arbitrary subset of "P" has supremum which turns "P" into complete lattice.
See also
*
Kleene fixpoint theorem
*Kantorovitch fixpoint theorem (known also as Tarski-Kantorovitch fixpoint principle)References
*cite journal | author=Alfred Tarski | url=http://projecteuclid.org/Dienst/UI/1.0/Summarize/euclid.pjm/1103044538 | title=A lattice-theoretical fixpoint theorem and its applications | journal = Pacific Journal of Mathematics | volume=5:2 | year=1955 | pages=285–309
*cite book | author=Andrzej Granas and James Dugundji | title=Fixed Point Theory | publisher=Springer-Verlag, New York | year=2003 | id=ISBN 0-387-00173-5
*cite book | author=M. Kolibiar, A. Legéň, T. Šalát and Š. Znám | title=Algebra a príbuzné disciplíny | publisher=Alfa, Bratislava (in Slovak) | year=1992 | id=ISBN 80-05-00721-3
*cite journal | author=Anne C. Davis | url=http://projecteuclid.org/Dienst/UI/1.0/Summarize/euclid.pjm/1103044539 | title=A characterization of complete lattices | journal=Pacific J. Math. | year=1955 | volume=5 | pages=311–319
*cite journal | author=B. Knaster | title=Un théorème sur les fonctions d'ensembles | journal=Ann. Soc. Polon. Math. | year=1928 | volume=6 | pages=133–134
* T. Forster, "Logic, Induction and Sets", ISBN 0521533619Recent developments
*cite journal | author=S. Hayashi | title=Self-similar sets as Tarski's fixed points | journal=Publ. RIMS Kyoto Univ. | year=1985 | volume=21 | pages=1059–1066
*cite journal | author=J. Jachymski, L. Gajek, K. Pokarowski | title=The Tarski-Kantorovitch principle and the theory of iterated function systems | journal=Bull. Austral. Math. Soc. | year=2000 | volume=61 | pages=247–261
*cite journal | author=E.A. Ok | title=Fixed set theory for closed correspondences with applications to self-similarity and games | journal=Nonlinear Anal. | year=2004 | volume=56 | pages=309–330 | doi=10.1016/j.na.2003.08.001
*cite journal | author=B.S.W. Schröder | title=Algorithms for the fixed point property | journal=Theoret. Comput. Sci. | year=1999 | volume=217 | pages=301–358 | doi=10.1016/S0304-3975(98)00273-4
*cite journal | author=S. Heikkilä | title=On fixed points through a generalized iteration method with applications to differential and integral equations involving discontinuities| journal=Nonlinear Anal. | year=1990 | volume=14 | pages=413–426 | doi=10.1016/0362-546X(90)90082-RExternal links
* J. B. Nation, [http://bigcheese.math.sc.edu/~mcnulty/alglatvar/ "Notes on lattice theory"] .
Wikimedia Foundation. 2010.