Well-founded relation

Transitive binary relations

	Symmetric	Antisymmetric	Connected	Well-founded	Has joins	Has meets	Reflexive	Irreflexive	Asymmetric
			Total, Semiconnex					Anti- reflexive
Equivalence relation	Y	✗	✗	✗	✗	✗	Y	✗	✗
Preorder (Quasiorder)	✗	✗	✗	✗	✗	✗	Y	✗	✗
Partial order	✗	Y	✗	✗	✗	✗	Y	✗	✗
Total preorder	✗	✗	Y	✗	✗	✗	Y	✗	✗
Total order	✗	Y	Y	✗	✗	✗	Y	✗	✗
Prewellordering	✗	✗	Y	Y	✗	✗	Y	✗	✗
Well-quasi-ordering	✗	✗	✗	Y	✗	✗	Y	✗	✗
Well-ordering	✗	Y	Y	Y	✗	✗	Y	✗	✗
Lattice	✗	Y	✗	✗	Y	Y	Y	✗	✗
Join-semilattice	✗	Y	✗	✗	Y	✗	Y	✗	✗
Meet-semilattice	✗	Y	✗	✗	✗	Y	Y	✗	✗
Strict partial order	✗	Y	✗	✗	✗	✗	✗	Y	Y
Strict weak order	✗	Y	✗	✗	✗	✗	✗	Y	Y
Strict total order	✗	Y	Y	✗	✗	✗	✗	Y	Y
	Symmetric	Antisymmetric	Connected	Well-founded	Has joins	Has meets	Reflexive	Irreflexive	Asymmetric
Definitions, for all $a,b$ and $S\neq \varnothing :$	${\begin{aligned}&aRb\\\Rightarrow {}&bRa\end{aligned}}$	${\begin{aligned}aRb{\text{ and }}&bRa\\\Rightarrow a={}&b\end{aligned}}$	${\begin{aligned}a\neq {}&b\Rightarrow \\aRb{\text{ or }}&bRa\end{aligned}}$	${\begin{aligned}\min S\\{\text{exists}}\end{aligned}}$	${\begin{aligned}a\vee b\\{\text{exists}}\end{aligned}}$	${\begin{aligned}a\wedge b\\{\text{exists}}\end{aligned}}$	$aRa$	${\text{not }}aRa$	${\begin{aligned}aRb\Rightarrow \\{\text{not }}bRa\end{aligned}}$

indicates that the column's property is always true the row's term (at the very left), while ✗ indicates that the property is not guaranteed in general (it might, or might not, hold). For example, that every equivalence relation is symmetric, but not necessarily antisymmetric, is indicated by

in the "Symmetric" column and ✗ in the "Antisymmetric" column, respectively.

All definitions tacitly require the homogeneous relation $R$ be transitive: for all $a,b,c,$ if $aRb$ and $bRc$ then $aRc.$
A term's definition may require additional properties that are not listed in this table.

In mathematics, a binary relation $R$ is called well-founded (or wellfounded or foundational^[1]) on a set or, more generally, a class $X$ if every non-empty subset $S \subseteq X$ has a minimal element with respect to $R$ ; that is, there exists an $m \in S$ such that, for every $s \in S$ , one does not have $s R m$ . In other words, a relation is well founded if: $(\forall S\subseteq X)\;[S\neq \varnothing \implies (\exists m\in S)(\forall s\in S)\lnot (s\mathrel {R} m)].$ Some authors include an extra condition that $R$ is set-like, i.e., that the elements less than any given element form a set.

Equivalently, assuming the axiom of dependent choice, a relation is well-founded when it contains no infinite descending chains, which can be proved when there is no infinite sequence $x 0, x 1, x 2, ...$ of elements of $X$ such that $x n +1 R x n$ for every natural number $n$ .^[2]^[3]

In order theory, a partial order is called well-founded if the corresponding strict order is a well-founded relation. If the order is a total order then it is called a well-order.

In set theory, a set $x$ is called a well-founded set if the set membership relation is well-founded on the transitive closure of $x$ . The axiom of regularity, which is one of the axioms of Zermelo–Fraenkel set theory, asserts that all sets are well-founded.

A relation $R$ is converse well-founded, upwards well-founded or Noetherian on $X$ , if the converse relation $R -1$ is well-founded on $X$ . In this case $R$ is also said to satisfy the ascending chain condition. In the context of rewriting systems, a Noetherian relation is also called terminating.

Induction and recursion

An important reason that well-founded relations are interesting is because a version of transfinite induction can be used on them: if ( $X, R$ ) is a well-founded relation, $P (x)$ is some property of elements of $X$ , and we want to show that

P (x)

holds for all elements

x

of

X

,

it suffices to show that:

If

x

is an element of

X

and

P (y)

is true for all

y

such that

y R x

, then

P (x)

must also be true.

That is, $(\forall x\in X)\;[(\forall y\in X)\;[y\mathrel {R} x\implies P(y)]\implies P(x)]\quad {\text{implies}}\quad (\forall x\in X)\,P(x).$

Well-founded induction is sometimes called Noetherian induction,^[4] after Emmy Noether.

On par with induction, well-founded relations also support construction of objects by transfinite recursion. Let $(X, R)$ be a set-like well-founded relation and $F$ a function that assigns an object $F (x, g)$ to each pair of an element $x \in X$ and a function $g$ on the initial segment ${y : y R x}$ of $X$ . Then there is a unique function $G$ such that for every $x \in X$ , $G(x)=F\left(x,G\vert _{\left\{y:\,y\mathrel {R} x\right\}}\right).$

That is, if we want to construct a function $G$ on $X$ , we may define $G (x)$ using the values of $G (y)$ for $y R x$ .

As an example, consider the well-founded relation $(N, S)$ , where $N$ is the set of all natural numbers, and $S$ is the graph of the successor function $x \mapsto x +1$ . Then induction on $S$ is the usual mathematical induction, and recursion on $S$ gives primitive recursion. If we consider the order relation $(N, <)$ , we obtain complete induction, and course-of-values recursion. The statement that $(N, <)$ is well-founded is also known as the well-ordering principle.

There are other interesting special cases of well-founded induction. When the well-founded relation is the usual ordering on the class of all ordinal numbers, the technique is called transfinite induction. When the well-founded set is a set of recursively-defined data structures, the technique is called structural induction. When the well-founded relation is set membership on the universal class, the technique is known as ∈-induction. See those articles for more details.

Examples

Well-founded relations that are not totally ordered include:

The positive integers ${1, 2, 3, ...}$ , with the order defined by $a < b$ if and only if $a$ divides $b$ and $a \neq b$ .
The set of all finite strings over a fixed alphabet, with the order defined by $s < t$ if and only if $s$ is a proper substring of $t$ .
The set $N \times N$ of pairs of natural numbers, ordered by $(n 1, n 2) < (m 1, m 2)$ if and only if $n 1 < m 1$ and $n 2 < m 2$ .
Every class whose elements are sets, with the relation ∈ ("is an element of"). This is the axiom of regularity.
The nodes of any finite directed acyclic graph, with the relation $R$ defined such that $a R b$ if and only if there is an edge from $a$ to $b$ .

Examples of relations that are not well-founded include:

The negative integers ${-1, -2, -3, ...}$ , with the usual order, since any unbounded subset has no least element.
The set of strings over a finite alphabet with more than one element, under the usual (lexicographic) order, since the sequence "B" > "AB" > "AAB" > "AAAB" > ... is an infinite descending chain. This relation fails to be well-founded even though the entire set has a minimum element, namely the empty string.
The set of non-negative rational numbers (or reals) under the standard ordering, since, for example, the subset of positive rationals (or reals) lacks a minimum.

Other properties

If $(X, <)$ is a well-founded relation and $x$ is an element of $X$ , then the descending chains starting at $x$ are all finite, but this does not mean that their lengths are necessarily bounded. Consider the following example: Let $X$ be the union of the positive integers with a new element ω that is bigger than any integer. Then $X$ is a well-founded set, but there are descending chains starting at ω of arbitrary great (finite) length; the chain $ω, n - 1, n - 2, ..., 2, 1$ has length $n$ for any $n$ .

The Mostowski collapse lemma implies that set membership is a universal among the extensional well-founded relations: for any set-like well-founded relation $R$ on a class $X$ that is extensional, there exists a class $C$ such that $(X, R)$ is isomorphic to $(C, \in)$ .

Reflexivity

A relation $R$ is said to be reflexive if $a R a$ holds for every $a$ in the domain of the relation. Every reflexive relation on a nonempty domain has infinite descending chains, because any constant sequence is a descending chain. For example, in the natural numbers with their usual order ≤, we have 1 ≥ 1 ≥ 1 ≥ .... To avoid these trivial descending sequences, when working with a partial order ≤, it is common to apply the definition of well foundedness (perhaps implicitly) to the alternate relation < defined such that $a < b$ if and only if $a \leq b$ and $a \neq b$ . More generally, when working with a preorder ≤, it is common to use the relation < defined such that $a < b$ if and only if $a \leq b$ and $b ≰ a$ . In the context of the natural numbers, this means that the relation <, which is well-founded, is used instead of the relation ≤, which is not. In some texts, the definition of a well-founded relation is changed from the definition above to include these conventions.

References

^ See Definition 6.21 in Zaring W.M., G. Takeuti (1971). Introduction to axiomatic set theory (2nd, rev. ed.). New York: Springer-Verlag. ISBN 0387900241.
^ "Infinite Sequence Property of Strictly Well-Founded Relation". ProofWiki. Retrieved 10 May 2021.
^ Fraisse, R. (15 December 2000). Theory of Relations, Volume 145 - 1st Edition (1st ed.). Elsevier. p. 46. ISBN 9780444505422. Retrieved 20 February 2019.
^ Bourbaki, N. (1972) Elements of mathematics. Commutative algebra, Addison-Wesley.

Just, Winfried and Weese, Martin (1998) Discovering Modern Set Theory. I, American Mathematical Society ISBN 0-8218-0266-6.
Karel Hrbáček & Thomas Jech (1999) Introduction to Set Theory, 3rd edition, "Well-founded relations", pages 251–5, Marcel Dekker ISBN 0-8247-7915-0

[1] See Definition 6.21 in Zaring W.M., G. Takeuti (1971). Introduction to axiomatic set theory (2nd, rev. ed.). New York: Springer-Verlag. ISBN 0387900241.

[2] "Infinite Sequence Property of Strictly Well-Founded Relation". ProofWiki. Retrieved 10 May 2021.

[3] Fraisse, R. (15 December 2000). Theory of Relations, Volume 145 - 1st Edition (1st ed.). Elsevier. p. 46. ISBN 9780444505422. Retrieved 20 February 2019.

[4] Bourbaki, N. (1972) Elements of mathematics. Commutative algebra, Addison-Wesley.

[1]

[2]

[3]

[4]

v t e Order theory
Topics Glossary Category
Key concepts	Binary relation Boolean algebra Cyclic order Lattice Partial order Preorder Total order Weak ordering
Results	Boolean prime ideal theorem Cantor–Bernstein theorem Cantor's isomorphism theorem Dilworth's theorem Dushnik–Miller theorem Hausdorff maximal principle Knaster–Tarski theorem Kruskal's tree theorem Laver's theorem Mirsky's theorem Szpilrajn extension theorem Zorn's lemma
Properties & Types (list)	Antisymmetric Asymmetric Boolean algebra topics Completeness Connected Covering Dense Directed (Partial) Equivalence Foundational Heyting algebra Homogeneous Idempotent Lattice Bounded Complemented Complete Distributive Join and meet Reflexive Partial order Chain-complete Graded Eulerian Strict Prefix order Preorder Total Semilattice Semiorder Symmetric Total Tolerance Transitive Well-founded Well-quasi-ordering (Better) (Pre) Well-order
Constructions	Composition Converse/Transpose Lexicographic order Linear extension Product order Reflexive closure Series-parallel partial order Star product Symmetric closure Transitive closure
Topology & Orders	Alexandrov topology & Specialization preorder Ordered topological vector space Normal cone Order topology Order topology Topological vector lattice Banach Fréchet Locally convex Normed
Related	Antichain Cofinal Cofinality Comparability Graph Duality Filter Hasse diagram Ideal Net Subnet Order morphism Embedding Isomorphism Order type Ordered field Positive cone of an ordered field Ordered vector space Partially ordered Positive cone of an ordered vector space Riesz space Partially ordered group Positive cone of a partially ordered group Upper set Young's lattice