Forcing (mathematics)
In the mathematical discipline of set theory, forcing is a technique for proving consistency and independence results. Intuitively, forcing can be thought of as a technique to expand the set theoretical universe to a larger universe by introducing a new "generic" object .
Forcing was first used by Paul Cohen in 1963, to prove the independence of the axiom of choice and the continuum hypothesis from Zermelo–Fraenkel set theory. It has been considerably reworked and simplified in the following years, and has since served as a powerful technique, both in set theory and in areas of mathematical logic such as recursion theory. Descriptive set theory uses the notions of forcing from both recursion theory and set theory. Forcing has also been used in model theory, but it is common in model theory to define genericity directly without mention of forcing.
Intuition[edit]
Forcing is usually used to construct an expanded universe that satisfies some desired property. For example, the expanded universe might contain many new real numbers (at least of them), identified with subsets of the set of natural numbers, that were not there in the old universe, and thereby violate the continuum hypothesis.
In order to intuitively justify such an expansion, it is best to think of the "old universe" as a model of the set theory, which is itself a set in the "real universe" . By the Löwenheim–Skolem theorem, can be chosen to be a "bare bones" model that is externally countable, which guarantees that there will be many subsets (in ) of that is not in . Specifically, there is an ordinal that "plays the role of the cardinal " in , but is actually countable in . Working in , it should be easy to find one distinct subset of per each element of . (For simplicity, this family of subsets can be characterized with a single subset .)
However, in some sense, it may be desirable to "construct the expanded model within ". This would help ensure that "resembles" in certain aspects, such as being the same as (more generally, that cardinal collapse does not occur), and allow fine control over the properties of . More precisely, every member of should be given a (nonunique) name in . The name can be thought as an expression in terms of , just like in a simple field extension every element of can be expressed in terms of . A major component of forcing is manipulating those names within , so sometimes it may help to directly think of as "the universe", knowing that the theory of forcing guarantees that will correspond to an actual model.
A subtle point of forcing is that, if is taken to be an arbitrary "missing subset" of some set in , then the constructed "within " may not even be a model. This is because may encode "special" information about that is invisible within (e.g. the countability of ), and thus prove the existence of sets that are "too complex for to describe".^{[1]}
Forcing avoids such problems by requiring the newly introduced set to be a generic set relative to .^{[1]} Some statements are "forced" to hold for any generic : For example, a generic is "forced" to be infinite. Furthermore, any property (describable in ) of a generic set is "forced" to hold under some forcing condition. The concept of "forcing" can be defined within , and it gives enough reasoning power to prove that is indeed a model that satisfies the desired properties.
Cohen's original technique, now called ramified forcing, is slightly different from the unramified forcing expounded here. Forcing is also equivalent to the method of Booleanvalued models, which some feel is conceptually more natural and intuitive, but usually much more difficult to apply.^{[2]}
The role of the model[edit]
In order for the above approach to work smoothly, must in fact be a standard transitive model in , so that membership and other elementary notions can be handled intuitively in both and . A standard transitive model can be obtained from any standard model through the Mostowski collapse lemma, but the existence of any standard model of (or any variant thereof) is in itself a stronger assumption than the consistency of .
To get around this issue, a standard technique is to let be a standard transitive model of an arbitrary finite subset of (any axiomatization of has at least one axiom schema, and thus an infinite number of axioms), the existence of which is guaranteed by the reflection principle. As the goal of a forcing argument is to prove consistency results, this is enough since any inconsistency in a theory must manifest with a derivation of a finite length, and thus involve only a finite number of axioms.
Forcing conditions and forcing posets[edit]
Each forcing condition can be regarded as a finite piece of information regarding the object adjoined to the model. There are many different ways of providing information about an object, which give rise to different forcing notions. A general approach to formalizing forcing notions is to regard forcing conditions as abstract objects with a poset structure.
A forcing poset is an ordered triple, , where is a preorder on , and is the largest element. Members of are the forcing conditions (or just conditions). The order relation means " is stronger than ". (Intuitively, the "smaller" condition provides "more" information, just as the smaller interval provides more information about the number π than the interval does.) Furthermore, the preorder must be atomless, meaning that it must satisfy the splitting condition:
 For each , there are such that , with no such that .
In other words, it must be possible to strengthen any forcing condition in at least two incompatible directions. Intuitively, this is because is only a finite piece of information, whereas an infinite piece of information is needed to determine .
There are various conventions in use. Some authors require to also be antisymmetric, so that the relation is a partial order. Some use the term partial order anyway, conflicting with standard terminology, while some use the term preorder. The largest element can be dispensed with. The reverse ordering is also used, most notably by Saharon Shelah and his coauthors.
Examples[edit]
Let be any infinite set (such as ), and let the generic object in question be a new subset . In Cohen's original formulation of forcing, each forcing condition is a finite set of sentences, either of the form or , that are selfconsistent (i.e. and for the same value of do not appear in the same condition). This forcing notion is usually called Cohen forcing.
The forcing poset for Cohen forcing can be formally written as , the finite partial functions from to under reverse inclusion. Cohen forcing satisfies the splitting condition because given any condition , one can always find an element not mentioned in , and add either the sentence or to to get two new forcing conditions, incompatible with each other.
Another instructive example of a forcing poset is , where and is the collection of Borel subsets of having nonzero Lebesgue measure. The generic object associated with this forcing poset is a random real number . It can be shown that falls in every Borel subset of with measure 1, provided that the Borel subset is "described" in the original unexpanded universe (this can be formalized with the concept of Borel codes). Each forcing condition can be regarded as a random event with probability equal to its measure. Due to the ready intuition this example can provide, probabilistic language is sometimes used with other divergent forcing posets.
Generic filters[edit]
Even though each individual forcing condition cannot fully determine the generic object , the set of all true forcing conditions does determine . In fact, without loss of generality, is commonly considered to be the generic object adjoined to , so the expanded model is called . It is usually easy enough to show that the originally desired object is indeed in the model .
Under this convention, the concept of "generic object" can be described in a general way. Specifically, the set should be a generic filter on relative to . The "filter" condition means that it makes sense that is a set of all true forcing conditions:
 if , then
 if , then there exists an such that
For to be "generic relative to " means:
 If is a "dense" subset of (that is, for each , there exists a such that ), then .
Given that is a countable model, the existence of a generic filter follows from the Rasiowa–Sikorski lemma. In fact, slightly more is true: Given a condition , one can find a generic filter such that . Due to the splitting condition on , if is a filter, then is dense. If , then because is a model of . For this reason, a generic filter is never in .
Pnames and interpretations[edit]
Associated with a forcing poset is the class of names. A name is a set of the form
Given any filter on , the interpretation or valuation map from names is given by
The names are, in fact, an expansion of the universe. Given , one defines to be the name
Since , it follows that . In a sense, is a "name for " that does not depend on the specific choice of .
This also allows defining a "name for " without explicitly referring to :
so that .
Rigorous definitions[edit]
The concepts of names, interpretations, and are actually defined by transfinite recursion. With the empty set, the successor ordinal to ordinal , the powerset operator, and a limit ordinal, define the following hierarchy:
Then the class of names is defined as
The interpretation map and the map can similarly be defined with a hierarchical construction.
Forcing[edit]
Given a generic filter , one proceeds as follows. The subclass of names in is denoted . Let
To reduce the study of the set theory of to that of , one works with the "forcing language", which is built up like ordinary firstorder logic, with membership as the binary relation and all the names as constants.
Define (to be read as " forces in the model with poset "), where is a condition, is a formula in the forcing language, and the 's are names, to mean that if is a generic filter containing , then . The special case is often written as "" or simply "". Such statements are true in , no matter what is.
What is important is that this external definition of the forcing relation is equivalent to an internal definition within , defined by transfinite induction (specifically induction) over the names on instances of and , and then by ordinary induction over the complexity of formulae. This has the effect that all the properties of are really properties of , and the verification of in becomes straightforward. This is usually summarized as the following three key properties:
 Truth: if and only if it is forced by , that is, for some condition , we have .
 Definability: The statement "" is definable in .
 Coherence: .
Internal definition[edit]
There are many different but equivalent ways to define the forcing relation in .^{[3]} One way to simplify the definition is to first define a modified forcing relation that is strictly stronger than . The modified relation still satisfies the three key properties of forcing, but and are not necessarily equivalent even if the firstorder formulae and are equivalent. The unmodified forcing relation can then be defined as
The modified forcing relation can be defined recursively as follows:
 means
 means
 means
 means
 means
Other symbols of the forcing language can be defined in terms of these symbols: For example, means , means , etc. Cases 1 and 2 depend on each other and on case 3, but the recursion always refer to names with lesser ranks, so transfinite induction allows the definition to go through.
By construction, (and thus ) automatically satisfies Definability. The proof that also satisfies Truth and Coherence is by inductively inspecting each of the five cases above. Cases 4 and 5 are trivial (thanks to the choice of and as the elementary symbols^{[4]}), cases 1 and 2 relies only on the assumption that is a filter, and only case 3 requires to be a generic filter.^{[2]}
Formally, an internal definition of the forcing relation (such as the one presented above) is actually a transformation of an arbitrary formula to another formula where and are additional variables. The model does not explicitly appear in the transformation (note that within , just means " is a name"), and indeed one may take this transformation as a "syntactic" definition of the forcing relation in the universe of all sets regardless of any countable transitive model. However, if one wants to force over some countable transitive model , then the latter formula should be interpreted under (i.e. with all quantifiers ranging only over ), in which case it is equivalent to the external "semantic" definition of described at the top of this section:
 For any formula there is a theorem of the theory (for example conjunction of finite number of axioms) such that for any countable transitive model such that and any atomless partial order and any generic filter over
This the sense under which the forcing relation is indeed "definable in ".
Consistency[edit]
The discussion above can be summarized by the fundamental consistency result that, given a forcing poset , we may assume the existence of a generic filter , not belonging to the universe , such that is again a settheoretic universe that models . Furthermore, all truths in may be reduced to truths in involving the forcing relation.
Both styles, adjoining to either a countable transitive model or the whole universe , are commonly used. Less commonly seen is the approach using the "internal" definition of forcing, in which no mention of set or class models is made. This was Cohen's original method, and in one elaboration, it becomes the method of Booleanvalued analysis.
Cohen forcing[edit]
The simplest nontrivial forcing poset is , the finite partial functions from to under reverse inclusion. That is, a condition is essentially two disjoint finite subsets and of , to be thought of as the "yes" and "no" parts of , with no information provided on values outside the domain of . " is stronger than " means that , in other words, the "yes" and "no" parts of are supersets of the "yes" and "no" parts of , and in that sense, provide more information.
Let be a generic filter for this poset. If and are both in , then is a condition because is a filter. This means that is a welldefined partial function from to because any two conditions in agree on their common domain.
In fact, is a total function. Given , let . Then is dense. (Given any , if is not in 's domain, adjoin a value for —the result is in .) A condition has in its domain, and since , we find that is defined.
Let , the set of all "yes" members of the generic conditions. It is possible to give a name for directly. Let
Then Now suppose that in . We claim that . Let
Then is dense. (Given any , find that is not in its domain, and adjoin a value for contrary to the status of "".) Then any witnesses . To summarize, is a "new" subset of , necessarily infinite.
Replacing with , that is, consider instead finite partial functions whose inputs are of the form , with and , and whose outputs are or , one gets new subsets of . They are all distinct, by a density argument: Given , let
then each is dense, and a generic condition in it proves that the αth new set disagrees somewhere with the th new set.
This is not yet the falsification of the continuum hypothesis. One must prove that no new maps have been introduced which map onto , or onto . For example, if one considers instead , finite partial functions from to , the first uncountable ordinal, one gets in a bijection from to . In other words, has collapsed, and in the forcing extension, is a countable ordinal.
The last step in showing the independence of the continuum hypothesis, then, is to show that Cohen forcing does not collapse cardinals. For this, a sufficient combinatorial property is that all of the antichains of the forcing poset are countable.
The countable chain condition[edit]
An (strong) antichain of is a subset such that if , then and are incompatible (written ), meaning there is no in such that and . In the example on Borel sets, incompatibility means that has zero measure. In the example on finite partial functions, incompatibility means that is not a function, in other words, and assign different values to some domain input.
satisfies the countable chain condition (c.c.c.) if and only if every antichain in is countable. (The name, which is obviously inappropriate, is a holdover from older terminology. Some mathematicians write "c.a.c." for "countable antichain condition".)
It is easy to see that satisfies the c.c.c. because the measures add up to at most . Also, satisfies the c.c.c., but the proof is more difficult.
Given an uncountable subfamily , shrink to an uncountable subfamily of sets of size , for some . If for uncountably many , shrink this to an uncountable subfamily and repeat, getting a finite set and an uncountable family of incompatible conditions of size such that every is in for at most countable many . Now, pick an arbitrary , and pick from any that is not one of the countably many members that have a domain member in common with . Then and are compatible, so is not an antichain. In other words, antichains are countable.
The importance of antichains in forcing is that for most purposes, dense sets and maximal antichains are equivalent. A maximal antichain is one that cannot be extended to a larger antichain. This means that every element is compatible with some member of . The existence of a maximal antichain follows from Zorn's Lemma. Given a maximal antichain , let
Then is dense, and if and only if . Conversely, given a dense set , Zorn's Lemma shows that there exists a maximal antichain , and then if and only if .
Assume that satisfies the c.c.c. Given , with a function in , one can approximate inside as follows. Let be a name for (by the definition of ) and let be a condition that forces to be a function from to . Define a function , whose domain is , by
By the definability of forcing, this definition makes sense within . By the coherence of forcing, a different come from an incompatible . By c.c.c., is countable.
In summary, is unknown in as it depends on , but it is not wildly unknown for a c.c.c.forcing. One can identify a countable set of guesses for what the value of is at any input, independent of .
This has the following very important consequence. If in , is a surjection from one infinite ordinal onto another, then there is a surjection in , and consequently, a surjection in . In particular, cardinals cannot collapse. The conclusion is that in .
Easton forcing[edit]
The exact value of the continuum in the above Cohen model, and variants like for cardinals in general, was worked out by Robert M. Solovay, who also worked out how to violate (the generalized continuum hypothesis), for regular cardinals only, a finite number of times. For example, in the above Cohen model, if holds in , then holds in .
William B. Easton worked out the proper class version of violating the for regular cardinals, basically showing that the known restrictions, (monotonicity, Cantor's Theorem and König's Theorem), were the only provable restrictions (see Easton's Theorem).
Easton's work was notable in that it involved forcing with a proper class of conditions. In general, the method of forcing with a proper class of conditions fails to give a model of . For example, forcing with , where is the proper class of all ordinals, makes the continuum a proper class. On the other hand, forcing with introduces a countable enumeration of the ordinals. In both cases, the resulting is visibly not a model of .
At one time, it was thought that more sophisticated forcing would also allow an arbitrary variation in the powers of singular cardinals. However, this has turned out to be a difficult, subtle and even surprising problem, with several more restrictions provable in and with the forcing models depending on the consistency of various largecardinal properties. Many open problems remain.
Random reals[edit]
Random forcing can be defined as forcing over the set of all compact subsets of of positive measure ordered by relation (smaller set in context of inclusion is smaller set in ordering and represents condition with more information). There are two types of important dense sets:
 For any positive integer the set is dense, where is diameter of the set .
 For any Borel subset of measure 1, the set is dense.
For any filter and for any finitely many elements there is such that holds . In case of this ordering, this means that any filter is set of compact sets with finite intersection property. For this reason, intersection of all elements of any filter is nonempty. If is a filter intersecting the dense set for any positive integer , then the filter contains conditions of arbitrarily small positive diameter. Therefore, the intersection of all conditions from has diameter 0. But the only nonempty sets of diameter 0 are singletons. So there is exactly one real number such that .
Let be any Borel set of measure 1. If intersects , then .
However, a generic filter over a countable transitive model is not in . The real defined by is provably not an element of . The problem is that if , then " is compact", but from the viewpoint of some larger universe , can be noncompact and the intersection of all conditions from the generic filter is actually empty. For this reason, we consider the set of topological closures of conditions from G.^{[clarification needed]} Because of and the finite intersection property of , the set also has the finite intersection property. Elements of the set are bounded closed sets as closures of bounded sets.^{[clarification needed]} Therefore, is a set of compact sets^{[clarification needed]} with the finite intersection property and thus has nonempty intersection. Since and the ground model inherits a metric from the universe , the set has elements of arbitrarily small diameter. Finally, there is exactly one real that belongs to all members of the set . The generic filter can be reconstructed from as .
If is name of ,^{[clarification needed]} and for holds " is Borel set of measure 1", then holds
for some . There is name such that for any generic filter holds
Then
holds for any condition .
Every Borel set can, nonuniquely, be built up, starting from intervals with rational endpoints and applying the operations of complement and countable unions, a countable number of times. The record of such a construction is called a Borel code. Given a Borel set in , one recovers a Borel code, and then applies the same construction sequence in , getting a Borel set . It can be proven that one gets the same set independent of the construction of , and that basic properties are preserved. For example, if , then . If has measure zero, then has measure zero. This mapping is injective.
For any set such that and " is a Borel set of measure 1" holds .
This means that is "infinite random sequence of 0s and 1s" from the viewpoint of , which means that it satisfies all statistical tests from the ground model .
So given , a random real, one can show that
Because of the mutual interdefinability between and , one generally writes for .
A different interpretation of reals in was provided by Dana Scott. Rational numbers in have names that correspond to countablymany distinct rational values assigned to a maximal antichain of Borel sets – in other words, a certain rationalvalued function on . Real numbers in then correspond to Dedekind cuts of such functions, that is, measurable functions.
Booleanvalued models[edit]
Perhaps more clearly, the method can be explained in terms of Booleanvalued models. In these, any statement is assigned a truth value from some complete atomless Boolean algebra, rather than just a true/false value. Then an ultrafilter is picked in this Boolean algebra, which assigns values true/false to statements of our theory. The point is that the resulting theory has a model that contains this ultrafilter, which can be understood as a new model obtained by extending the old one with this ultrafilter. By picking a Booleanvalued model in an appropriate way, we can get a model that has the desired property. In it, only statements that must be true (are "forced" to be true) will be true, in a sense (since it has this extension/minimality property).
Metamathematical explanation[edit]
In forcing, we usually seek to show that some sentence is consistent with (or optionally some extension of ). One way to interpret the argument is to assume that is consistent and then prove that combined with the new sentence is also consistent.
Each "condition" is a finite piece of information – the idea is that only finite pieces are relevant for consistency, since, by the compactness theorem, a theory is satisfiable if and only if every finite subset of its axioms is satisfiable. Then we can pick an infinite set of consistent conditions to extend our model. Therefore, assuming the consistency of , we prove the consistency of extended by this infinite set.
Logical explanation[edit]
By Gödel's second incompleteness theorem, one cannot prove the consistency of any sufficiently strong formal theory, such as , using only the axioms of the theory itself, unless the theory is inconsistent. Consequently, mathematicians do not attempt to prove the consistency of using only the axioms of , or to prove that is consistent for any hypothesis using only . For this reason, the aim of a consistency proof is to prove the consistency of relative to the consistency of . Such problems are known as problems of relative consistency, one of which proves

(⁎) 
The general schema of relative consistency proofs follows. As any proof is finite, it uses only a finite number of axioms:
For any given proof, can verify the validity of this proof. This is provable by induction on the length of the proof.
Then resolve
By proving the following

(⁎⁎) 
it can be concluded that
which is equivalent to
which gives (*). The core of the relative consistency proof is proving (**). A proof of can be constructed for any given finite subset of the axioms (by instruments of course). (No universal proof of of course.)
In , it is provable that for any condition , the set of formulas (evaluated by names) forced by is deductively closed. Furthermore, for any axiom, proves that this axiom is forced by . Then it suffices to prove that there is at least one condition that forces .
In the case of Booleanvalued forcing, the procedure is similar: proving that the Boolean value of is not .
Another approach uses the Reflection Theorem. For any given finite set of axioms, there is a proof that this set of axioms has a countable transitive model. For any given finite set of axioms, there is a finite set of axioms such that proves that if a countable transitive model satisfies , then satisfies . By proving that there is finite set of axioms such that if a countable transitive model satisfies , then satisfies the hypothesis . Then, for any given finite set of axioms, proves .
Sometimes in (**), a stronger theory than is used for proving . Then we have proof of the consistency of relative to the consistency of . Note that , where is (the axiom of constructibility).
See also[edit]
Notes[edit]
 ^ ^{a} ^{b} Cohen 1966, p. 111.
 ^ ^{a} ^{b} ^{c} Shoenfield 1971.
 ^ Kunen 1980.
 ^ Notably, if defining directly instead of , one would need to replace the with in case 4 and with in case 5 (in addition to making cases 1 and 2 more complicated) to make this internal definition agree with the external definition. However, then when trying to prove Truth inductively, case 4 will require the fact that , as a filter, is downward directed, and case 5 will outright break down.
References[edit]
 Bell, J. L. (1985). BooleanValued Models and Independence Proofs in Set Theory, Oxford. ISBN 0198532415
 Cohen, P. J. (1966). Set theory and the continuum hypothesis. Addison–Wesley. ISBN 9780805323276.
 Grishin, V. N. (2001) [1994], "Forcing Method", Encyclopedia of Mathematics, EMS Press
 Kunen, K. (1980). Set Theory: An Introduction to Independence Proofs. NorthHolland. ISBN 9780444854018.
 Jech, Thomas (2002). Set Theory: The Third Millennium Edition. SpringVerlag. ISBN 3540440852.
 Shoenfield, J. R. (1971). "Unramified forcing". Axiomatic Set Theory. Proc. Sympos. Pure Math. Vol. XIII, Part I. Providence, R.I.: Amer. Math. Soc. pp. 357–381. MR 0280359.
External links[edit]
 Gunther, E.; Pagano, M.; Sánchez Terraf, P. Formalization of Forcing in Isabelle/ZF (Formal Proof Development, Archive of Formal Proofs)
 Nik Weaver's book Forcing for Mathematicians was written for mathematicians who want to learn the basic machinery of forcing. No background in logic is assumed, beyond the facility with formal syntax which should be second nature to any welltrained mathematician.
 Timothy Chow's article A Beginner's Guide to Forcing is a good introduction to the concepts of forcing that avoids a lot of technical detail. This paper grew out of Chow's newsgroup article Forcing for dummies Archived 20090506 at archive.today. In addition to improved exposition, the Beginner's Guide includes a section on Booleanvalued models.
 See also Kenny Easwaran's article A Cheerful Introduction to Forcing and the Continuum Hypothesis, which is also aimed at the beginner but includes more technical details than Chow's article.
 Cohen, P. J. The Independence of the Continuum Hypothesis, Proceedings of the National Academy of Sciences of the United States of America, Vol. 50, No. 6. (Dec. 15, 1963), pp. 1143–1148.
 Cohen, P. J. The Independence of the Continuum Hypothesis, II, Proceedings of the National Academy of Sciences of the United States of America, Vol. 51, No. 1. (Jan. 15, 1964), pp. 105–110.
 Paul Cohen gave a historical lecture The Discovery of Forcing (Rocky Mountain J. Math. Volume 32, Number 4 (2002), 1071–1100) about how he developed his independence proof. The linked page has a download link for an open access PDF but your browser must send a referer header from the linked page to retrieve it.
 Akihiro Kanamori: Set theory from Cantor to Cohen
 Weisstein, Eric W. "Forcing". MathWorld.