Forcing (mathematics)
Contents
- 1 Intuition
- 2 Forcing posets
- 3 Countable transitive models and generic filters
- 4 Forcing
- 5 Consistency
- 6 Cohen forcing
- 7 The countable chain condition
- 8 Easton forcing
- 9 Random reals
- 10 Boolean-valued models
- 11 Meta-mathematical explanation
- 12 Logical explanation
- 13 See also
- 14 References
- 15 External links
In the mathematical discipline of set theory, forcing is a technique for proving consistency and independence results. It 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.
Forcing 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 notion 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
Intuitively, forcing consists of expanding the set theoretical universe to a larger universe . In this bigger universe, for example, one might have many new subsets of that were not there in the old universe, and thereby violate the continuum hypothesis.
While impossible when dealing with finite sets, this is just another version of Cantor's paradox about infinity. In principle, one could consider:
identify with , and then introduce an expanded membership relation involving "new" sets of the form . Forcing is a more elaborate version of this idea, reducing the expansion to the existence of one new set, and allowing for fine control over the properties of the expanded universe.
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 Boolean-valued models, which some feel is conceptually more natural and intuitive, but usually much more difficult to apply.
Forcing posets
A forcing poset is an ordered triple, , where is a preorder on that is atomless, meaning that it satisfies the following condition:
- For each , there are such that , with no such that . The largest element of is , that is, for all .
Members of are called forcing conditions or just conditions. One reads as " is stronger than ". Intuitively, the "smaller" condition provides "more" information, just as the smaller interval provides more information about the number than the interval does.
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 co-authors.
P-names
Associated with a forcing poset is the class of -names. A -name is a set of the form
This is actually a definition by transfinite recursion. More precisely, one first uses transfinite recursion to define the following hierarchy:
Then the class of -names is defined as
The -names are, in fact, an expansion of the universe. Given , one defines to be the -name
Again, this is really a definition by transfinite recursion.
Interpretation
Given any subset of , one next defines the interpretation or valuation map from -names by
This is again a definition by transfinite recursion. Note that if , then . One then defines
so that .
Example
A good example of a forcing poset is , where and is the collection of Borel subsets of having non-zero Lebesgue measure. In this case, one can talk about the conditions as being probabilities, and a -name assigns membership in a probabilistic sense. Due to the ready intuition this example can provide, probabilistic language is sometimes used with other forcing posets.
Countable transitive models and generic filters
The key step in forcing is, given a universe , to find an appropriate object not in . The resulting class of all interpretations of -names will be a model of that properly extends the original (since ).
Instead of working with , it is useful to consider a countable transitive model with . "Model" refers to a model of set theory, either of all of , or a model of a large but finite subset of , or some variant thereof. "Transitivity" means that if , then . The Mostowski collapse lemma states that this can be assumed if the membership relation is well-founded. The effect of transitivity is that membership and other elementary notions can be handled intuitively. Countability of the model relies on the Löwenheim–Skolem theorem.
As is a set, there are sets not in – this follows from Russell's paradox. The appropriate set to pick and adjoin to is a generic filter on . The "filter" condition means that:
- if , then
- if , then there exists an such that
For to be "generic" means:
- If is a "dense" subset of (that is, for each , there exists a such that ), then .
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, if is a filter, then is dense. If , then because is a model of . For this reason, a generic filter is never in .
Forcing
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 first-order 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 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: If and , then .
We define the forcing relation in by induction on the complexity of formulas, in which we first define the relation for atomic formulas by -induction and then define it for arbitrary formulas by induction on their complexity.
Define we forcing relation on atomic formulas. We define forcing of both types of formulas and simultaneously. This means that we define one relation where denotes type of formula as follows:
1. means .
2. means .
3. means .
Here is condition and and are -names. Let is formula defined by -induction:
R1. if and only if .
R2. if and only if .
R3. if and only if .
More formally, we use following binary relation -names: Let holds for names and if and only if for at least one condition . This relation is well founded, which means that for any name the class of all names , such that holds, is a set and there is no function such that .
In general a well founded relation is not a preorder, because it might not be transitive. But, if we consider it as an "ordering", it is a relation without infinite decreasing sequences and where for any element the class of elements below it is a set.
It is easy to close any binary relation for transitivity. For names and , holds if there is at least one finite sequence (as a map with domain ) for some such that , and for any , holds. Such an ordering is well founded too.
We define the following well defined ordering on pairs of names: if one of the following holds:
1. ,
2. and ,
3. and and .
The relation is defined by recursion on pairs of names. For any pair it is defined by the same relation on "simpler" pairs. Actually, by the recursion theorem there is a formula such that R1, R2 and R3 are theorems because its truth value at some point is defined by its truth values in "smaller" points relative to the some well founded relation used as an "ordering". Now, we are ready to define forcing relation:
1. means .
2. means .
3. means .
4. means .
5. means .
Actually, this is a transformation of an arbitrary formula to the formula where and are additional variables. This is the definition of the forcing relation in the universe of all sets regardless to any countable transitive model. However, there is a relation between this "syntactic" formulation of forcing and the "semantic" formulation of forcing over some countable transitive model .
1. 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 is called the property of definability of the forcing relation.
Consistency
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 set-theoretic 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 Boolean-valued analysis.
Cohen forcing
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 well-defined 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 , if is not in its domain, 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 this poset are countable.
The countable chain condition
An 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, is 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 is 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
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 large-cardinal properties. Many open problems remain.
Random reals
Random forcing can be defined as forcing over 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:
1. For any positive integer the set
is dense, where is diameter of the set .
2. 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. Let is filter intersecting dense set for any positive integer , then filter contains conditions of arbitrary small positive diameter. Therefore, intersection of all conditions from has diameter 0. Only nonempty sets of diameter 0 are singletons. Finally, there is exactly one real number such that .
Let is any Borel set of measure 1. If intersects , then .
However, generic filter over countable transitive model is not in . Real is defined by . One can also prove that it is not in . The problem is that if , then " is compact", but from the viewpoint of universe can be non-compact and the intersection of all conditions from generic filter is actually empty. For this reason, we consider set of closures (in topological sense) of conditions from generic filter.^{[clarification needed]} Due to and finite intersection property of , the set also has finite intersection property. Elements of the set are bounded closed sets as closures of bounded sets.^{[clarification needed]} Therefore, is set of compacts^{[clarification needed]} with finite intersection property and for this reason has nonempty intersection. Due to and model inherits metric from universe, the set has elements of arbitrary small diameter. Finally, there is exactly one real which 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, non-uniquely, 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 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 inter-definability 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 countably-many distinct rational values assigned to a maximal antichain of Borel sets – in other words, a certain rational-valued function on . Real numbers in then correspond to Dedekind cuts of such functions, that is, measurable functions.
Boolean-valued models
Perhaps more clearly, the method can be explained in terms of Boolean-valued 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 which contains this ultrafilter, which can be understood as a new model obtained by extending the old one with this ultrafilter. By picking a Boolean-valued model in an appropriate way, we can get a model that has the desired property. In it, only statements which must be true (are "forced" to be true) will be true, in a sense (since it has this extension/minimality property).
Meta-mathematical explanation
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
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 Boolean-valued 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
References
- Bell, J. L. (1985). Boolean-Valued Models and Independence Proofs in Set Theory, Oxford. ISBN 0-19-853241-5
- Cohen, P. J. (1966). Set theory and the continuum hypothesis. Addison–Wesley. ISBN 0-8053-2327-9.
- Grishin, V. N. (2001) [1994], "Forcing Method", in Hazewinkel, Michiel, Encyclopedia of Mathematics, Springer Science+Business Media B.V. / Kluwer Academic Publishers, ISBN 978-1-55608-010-4
- Kunen, K. (1980). Set Theory: An Introduction to Independence Proofs. North-Holland. ISBN 0-444-85401-0.
External links
- 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 well-trained 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. In addition to improved exposition, the Beginner's Guide includes a section on Boolean-valued 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.