ArticleslgStudy

mathematics

List of forcing notions

List of forcing notions is a mathematics 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 List of forcing notions rather than just read about it. In short: In mathematics, forcing is a method of constructing new models M[G] of set theory by adding a generic subset G of a poset P to a model M. The poset P used will determine what statements hold in the new universe (the 'extension'); to force a statement of interest thus requires construction of a suitable P.

Key takeaways

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

Reference excerpt

In mathematics, forcing is a method of constructing new models M[G] of set theory by adding a generic subset G of a poset P to a model M. The poset P used will determine what statements hold in the new universe (the 'extension'); to force a statement of interest thus requires construction of a suitable P. This article lists some of the posets P that have been used in this construction.

Notation P is a poset with order < V is the universe of all sets M is a countable transitive model of set theory G is a generic subset of P over M.

Definitions P satisfies the countable chain condition if every antichain in P is at most countable. This implies that V and V[G] have the same cardinals (and the same cofinalities). A subset D of P is called dense if for every p ∈ P there is some q ∈ D with q ≤ p. A filter on P is a nonempty subset F of P such that if p < q and p ∈ F then q ∈ F, and if p ∈ F and q ∈ F then there is some r ∈ F with r ≤ p and r ≤ q. A subset G of P is called generic over M if it is a filter that meets every dense subset of P in M.

Amoeba forcing Amoeba forcing is forcing with the amoeba order, and adds a measure 1 set of random reals.

Cohen forcing

In Cohen forcing (named after Paul Cohen) P is the set of functions from a finite subset of ω2 × ω to {0,1} and p < q if p ⊇ q. This poset satisfies the countable chain condition. Forcing with this poset adds ω2 distinct reals to the model; this was the poset used by Cohen in his original proof of the independence of the continuum hypothesis. More generally, one can replace ω2 by any cardinal κ so construct a model where the continuum has size at least κ. Here, there is no restriction. If κ has cofinality ω, the cardinality of the reals ends up bigger than κ.

Grigorieff forcing Grigorieff forcing (after Serge Grigorieff) destroys a free ultrafilter on ω.

Hechler forcing Hechler forcing (after Stephen Herman Hechler) is used to show that Martin's axiom implies that every family of less than c functions from ω to ω is eventually dominated by some such function. P is the set of pairs (s, E) where s is a finite sequence of natural numbers (considered as functions from a finite ordinal to ω) and E is a finite subset of some fixed set G of functions from ω to ω. The element (s, E) is stronger than (t, F) if t is contained in s, F is contained in E, and if k is in the domain of s but not of t then s(k) > h(k) for all h in F.

Iterated forcing

Iterated forcing with finite supports was introduced by Solovay and Tennenbaum to show the consistency of Suslin's hypothesis. Easton introduced another type of iterated forcing to determine the possible values of the continuum function at regular cardinals. Iterated forcing with countable support was investigated by Laver in his proof of the consistency of Borel's conjecture, Baumgartner, who introduced Axiom A forcing, and Shelah, who introduced proper forcing. Revised countable support iteration was introduced by Shelah to handle semi-proper forcings, such as Prikry forcing, and generalizations, notably including Namba forcing.

Jockusch–Soare forcing Forcing with Π 1 0 {\displaystyle \Pi _{1}^{0}} classes was invented by Robert Soare and Carl Jockusch to prove, among other results, the low basis theorem. Here P is the set of nonempty Π 1 0 {\displaystyle \Pi _{1}^{0}} subsets of 2 ω {\displaystyle 2^{\omega }} (meaning the sets of paths through infinite, computable subtrees of 2 < ω {\displaystyle 2^{<\omega }} ), ordered by inclusion. While most forcing notions on this page relate to set theory, this one relates to recursion theory.

Laver forcing Laver forcing was used by Laver to show that Borel's conjecture, which says that all strong measure zero sets are countable, is consistent with ZFC. (Borel's conjecture is not consistent with the continuum hypothesis.)

P is the set of Laver trees, ordered by inclusion. A Laver tree p is a subset of the finite sequences of natural numbers such that

p is a tree: p contains any initial sequence of any element of p, equivalently stated as p is closed under initial segments p has a stem: a maximal node s(p) = s ∈ p such that s ≤ t or t ≤ s for all t in p, If t ∈ p and s ≤ t then t has an infinite number of immediate successors tn in p for n ∈ ω. If G is generic for (P, ≤), then the real {s(p) : p ∈ G}, called a Laver-real, uniquely determines G. Laver forcing satisfies the Laver property.

Laver preparation The Laver preparation was introduced by Laver in the context of forcing while preserving large cardinal axioms. Specifically, if κ is a supercompact cardinal, then after forcing with the Laver preparation at κ, κ remains a supercompact cardinal, and moreover will still remain so after any further κ-directed-closed forcing. The Laver preparation Pκ on κ is an Easton support iteration of length κ, guided by a Laver function f. This is a function such that for any x in V, there is a λ-supercompactness embedding j with critical point κ (for suitable λ) such that j(f)(κ)=x; Laver shows that such a function exists for every supercompact cardinal κ. The iteration Pκ only has non-trivial forcing at certain stages α for which f(α) is a suitable name for an α-directed-closed forcing, in which case f(α) is used as the stage α forcing.

Levy collapsing

These posets will collapse various cardinals, in other words force them to be equal in size to smaller cardinals.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with List of forcing notions

Start with the simplest possible case. Write down what List of forcing notions claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, 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 List of forcing notions 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 List of forcing notions 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 List of forcing notions

In research
List of forcing notions appears in mathematics 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 List of forcing notions 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
List of forcing notions is common in secondary-school and first-year university syllabi. It links to neighbouring topics Forcing (mathematics), so understanding it makes those chapters shorter.
In everyday life
Look for List of forcing notions 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.
Ask Teacher Smith questions about this articleOpens your AI tutor with a question about “List of forcing notions” →

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study List of forcing notions in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what List of forcing notions 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 List of forcing notions out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is List of forcing notions in simple terms?

In mathematics, forcing is a method of constructing new models M[G] of set theory by adding a generic subset G of a poset P to a model M. The poset P used will determine what statements hold in the new universe (the 'extension'); to force a statement of interest thus requires construction of a suit…

Why does List of forcing notions matter?

Because it connects several mathematics 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 List of forcing notions?

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 List of forcing notions.

Tags

  • Forcing (mathematics)

Keep exploring