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Well-founded relation

Well-founded relation is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Well-founded relation rather than just read about it. In short: In mathematics, a binary relation R is called well-founded (or wellfounded or foundational) on a set or, more generally, a class X if every non-empty subset (or subclass) S ⊆ X has a minimal element with respect to R; that is, there exists an m ∈ S such that for every s ∈ S, one does not have s R m. More formally, a relation is well-founded if: ( ∀ S ⊆ X ) [ S ≠ ∅ ⟹ ( ∃ m ∈ S ) ( ∀ s ∈ S ) ¬ ( s R m ) ] . {\displays…

Key takeaways

  • Well-founded relation belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Well-founded relation to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Well-founded relation from memory before moving on to harder problems.

Reference excerpt

In mathematics, a binary relation R is called well-founded (or wellfounded or foundational) on a set or, more generally, a class X if every non-empty subset (or subclass) S ⊆ X has a minimal element with respect to R; that is, there exists an m ∈ S such that for every s ∈ S, one does not have s R m. More formally, a relation is well-founded if:

( ∀ S ⊆ X ) [ S ≠ ∅ ⟹ ( ∃ m ∈ S ) ( ∀ s ∈ S ) ¬ ( s R m ) ] . {\displaystyle (\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, meaning there is no infinite sequence x0, x1, x2, ... of elements of X such that xn+1 R xn for every natural number n. 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,

( ∀ x ∈ X ) [ ( ∀ y ∈ X ) [ y R x ⟹ P ( y ) ] ⟹ P ( x ) ] implies ( ∀ x ∈ X ) P ( x ) . {\displaystyle (\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, 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 ∈ X and a function g on the set {y: y R x} of predecessors of x. Then there is a unique function G such that for every x ∈ X,

G ( x ) = F ( x , G | { y : y R x } ) . {\displaystyle 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 ↦ 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 ≠ 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 × N of pairs of natural numbers, ordered by (n1, n2) < (m1, m2) if and only if n1 < m1 and n2 < m2. 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:

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Well-founded relation

Start with the simplest possible case. Write down what Well-founded relation claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Well-founded relation before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Well-founded relation ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Well-founded relation

In research
Well-founded relation appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Well-founded relation in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Well-founded relation is common in secondary-school and first-year university syllabi. It links to neighbouring topics Wellfoundedness, so understanding it makes those chapters shorter.
In everyday life
Look for Well-founded relation outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Well-founded relation in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Well-founded relation means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Well-founded relation out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Well-founded relation in simple terms?

In mathematics, a binary relation R is called well-founded (or wellfounded or foundational) on a set or, more generally, a class X if every non-empty subset (or subclass) S ⊆ X has a minimal element with respect to R; that is, there exists an m ∈ S such that for every s ∈ S, one does not have s R m…

Why does Well-founded relation matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Well-founded relation?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Well-founded relation.

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