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Transfinite induction is an extension of mathematical induction to well-ordered sets, for example to sets of
ordinal number In set theory, an ordinal number, or ordinal, is a generalization of ordinal numerals (first, second, th, etc.) aimed to extend enumeration to infinite sets. A finite set can be enumerated by successively labeling each element with the least n ...
s or
cardinal number In mathematics, cardinal numbers, or cardinals for short, are a generalization of the natural numbers used to measure the cardinality (size) of sets. The cardinality of a finite set is a natural number: the number of elements in the set. T ...
s. Its correctness is a theorem of ZFC.


Induction by cases

Let P(\alpha) be a property defined for all ordinals \alpha. Suppose that whenever P(\beta) is true for all \beta < \alpha, then P(\alpha) is also true. Then transfinite induction tells us that P is true for all ordinals. Usually the proof is broken down into three cases: * Zero case: Prove that P(0) is true. * Successor case: Prove that for any successor ordinal \alpha+1, P(\alpha+1) follows from P(\alpha) (and, if necessary, P(\beta) for all \beta < \alpha). * Limit case: Prove that for any limit ordinal \lambda, P(\lambda) follows from P(\beta) for all \beta < \lambda. All three cases are identical except for the type of ordinal considered. They do not formally need to be considered separately, but in practice the proofs are typically so different as to require separate presentations. Zero is sometimes considered a limit ordinal and then may sometimes be treated in proofs in the same case as limit ordinals.


Transfinite recursion

Transfinite recursion is similar to transfinite induction; however, instead of proving that something holds for all ordinal numbers, we construct a sequence of objects, one for each ordinal. As an example, a basis for a (possibly infinite-dimensional) vector space can be created by choosing a vector v_0 and for each ordinal ''α'' choosing a vector that is not in the
span Span may refer to: Science, technology and engineering * Span (unit), the width of a human hand * Span (engineering), a section between two intermediate supports * Wingspan, the distance between the wingtips of a bird or aircraft * Sorbitan es ...
of the vectors \. This process stops when no vector can be chosen. More formally, we can state the Transfinite Recursion Theorem as follows: Transfinite Recursion Theorem (version 1). Given a class function ''G'': ''V'' → ''V'' (where ''V'' is the class of all sets), there exists a unique transfinite sequence ''F'': Ord → ''V'' (where Ord is the class of all ordinals) such that :F(\alpha) = G(F \upharpoonright \alpha) for all ordinals ''α'', where \upharpoonright denotes the restriction of ''Fs domain to ordinals <''α''. As in the case of induction, we may treat different types of ordinals separately: another formulation of transfinite recursion is the following: Transfinite Recursion Theorem (version 2). Given a set ''g''1, and class functions ''G''2, ''G''3, there exists a unique function ''F'': Ord → ''V'' such that * ''F''(0) = ''g''1, * ''F''(''α'' + 1) = ''G''2(''F''(''α'')), for all ''α'' ∈ Ord, * F(\lambda) = G_3(F \upharpoonright \lambda), for all limit ''λ'' ≠ 0. Note that we require the domains of ''G''2, ''G''3 to be broad enough to make the above properties meaningful. The uniqueness of the sequence satisfying these properties can be proved using transfinite induction. More generally, one can define objects by transfinite recursion on any well-founded relation ''R''. (''R'' need not even be a set; it can be a
proper class Proper may refer to: Mathematics * Proper map, in topology, a property of continuous function between topological spaces, if inverse images of compact subsets are compact * Proper morphism, in algebraic geometry, an analogue of a proper map for ...
, provided it is a
set-like relation In mathematics, a binary relation associates elements of one set, called the ''domain'', with elements of another set, called the ''codomain''. A binary relation over sets and is a new set of ordered pairs consisting of elements in and ...
; i.e. for any ''x'', the collection of all ''y'' such that ''yRx'' is a set.)


Relationship to the axiom of choice

Proofs or constructions using induction and recursion often use the axiom of choice to produce a well-ordered relation that can be treated by transfinite induction. However, if the relation in question is already well-ordered, one can often use transfinite induction without invoking the axiom of choice.In fact, the domain of the relation does not even need to be a set. It can be a proper class, provided that the relation ''R'' is set-like: for any ''x'', the collection of all ''y'' such that ''y'' ''R'' ''x'' must be a set. For example, many results about Borel sets are proved by transfinite induction on the ordinal rank of the set; these ranks are already well-ordered, so the axiom of choice is not needed to well-order them. The following construction of the Vitali set shows one way that the axiom of choice can be used in a proof by transfinite induction: : First, well-order the real numbers (this is where the axiom of choice enters via the well-ordering theorem), giving a sequence \langle r_ , \alpha < \beta \rangle , where β is an ordinal with the
cardinality of the continuum In set theory, the cardinality of the continuum is the cardinality or "size" of the set of real numbers \mathbb R, sometimes called the continuum. It is an infinite cardinal number and is denoted by \mathfrak c (lowercase fraktur "c") or , \mathb ...
. Let ''v''0 equal ''r''0. Then let ''v''1 equal ''r''''α''1, where ''α''1 is least such that ''r''''α''1 − ''v''0 is not a rational number. Continue; at each step use the least real from the ''r'' sequence that does not have a rational difference with any element thus far constructed in the ''v'' sequence. Continue until all the reals in the ''r'' sequence are exhausted. The final ''v'' sequence will enumerate the Vitali set. The above argument uses the axiom of choice in an essential way at the very beginning, in order to well-order the reals. After that step, the axiom of choice is not used again. Other uses of the axiom of choice are more subtle. For example, a construction by transfinite recursion frequently will not specify a ''unique'' value for ''A''''α''+1, given the sequence up to ''α'', but will specify only a ''condition'' that ''A''''α''+1 must satisfy, and argue that there is at least one set satisfying this condition. If it is not possible to define a unique example of such a set at each stage, then it may be necessary to invoke (some form of) the axiom of choice to select one such at each step. For inductions and recursions of countable length, the weaker
axiom of dependent choice In mathematics, the axiom of dependent choice, denoted by \mathsf , is a weak form of the axiom of choice ( \mathsf ) that is still sufficient to develop most of real analysis. It was introduced by Paul Bernays in a 1942 article that explores whi ...
is sufficient. Because there are models of Zermelo–Fraenkel set theory of interest to set theorists that satisfy the axiom of dependent choice but not the full axiom of choice, the knowledge that a particular proof only requires dependent choice can be useful.


See also

* Mathematical induction *
∈-induction In axiomatic set theory, set theory, \in-induction, also called epsilon-induction or set-induction, is a principle that can be used to prove that all Set (mathematics), sets satisfy a given property. Considered as an axiom schema, axiomatic princip ...
* Transfinite number * Well-founded induction * Zorn's lemma


Notes


References

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External links

* {{Set theory Mathematical induction Ordinal numbers Recursion