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The ordinals and iteration schemes described in the previous
section are recursive. Their structure can be modeled by a
nondeterministic computer program like those
used in defining an
-tree. By
defining precisely what it means for the structure of an ordinal to
be modeled by a computer, one can define the set of all recursive
ordinals. This set is the smallest nonrecursive
ordinal.
A computer program can model the structure of a recursive ordinal by outputting Gödel numbers that represent all the members of the ordinal in question. Every set except the empty set is represented by a program with at least one output. Use computer programs with integer outputs. 0 represents the empty set. All other integer outputs are interpreted as Gödel numbers of computer programs. These may or may not represent a set. A program represents a set only if all of its outputs represent sets.
Many computer programs (in fact an infinite number) will be representations of the same set. Sets are uniquely determined by their members but representations for sets are not. To deal with this require that only one Gödel number represents each each set.
A computer outputting representations for the members of an
infinite set gives an ordering to the members that is not present
in the original set. (The outputs must come in some sequence.) This
can be confusing. For a set like
the order
the representations are output must differ from the ordering of the
set members defined by
. Recall that ordinals are
well ordered by
. The
representation for
must be output before
the representations for most of the elements of
. Otherwise one would never get around to outputting the
representation for
.
Most computer programs will not represent sets. Most that do represent sets will not represent ordinals. To define which programs represent a set requires defining which are well founded. Sets constructed from the axioms of set theory are well founded because they are built up in a finite number of steps from the empty set. A set is well founded if it does not contain an infinite descending chain of members. If you take any member of a set then take any member of that set and keep repeating the process you will reach the empty set in a finite number of steps.
The outputs generated by the nondeterministic execution of a program are structured in a tree. The level of a node is the number of times the output of a program is interpreted as another program before getting to this node. The original program is level 0. Outputs of that program are level 1. Outputs of these programs are level 2 and they generate outputs at level 3, etc. Each output is a node in the tree that is either another program or the number 0 for the empty set. Each program node may have an infinite number of branches. To select a node or output at the first level requires a single integer. Selecting a second level node requires a pair of integers etc.
If a program is well founded, then repeating the process of
taking any output at level
and using that
output as the Gödel number of a program to take the output at
level
. will reach the representation for the
empty set in a finite number of steps.
If the program is well founded than every path will end in a
finite sequence of integers. But for any integer
there can be a path of length
. With no
fixed limit on the length of a path, one must search over
paths that have no limit on their length. This requires an infinite
sequence of integers.
To search all paths generated by an infinite sequence of integers requires the power set axiom defined in the next section. That axiom implies the set of all subsets of the integers exists. This is not the same as the set of all ordered sequences of integers needed to specify the position of every node in the tree. To get all ordered infinite sequences of integers from all subsets of the integers, let the integer size determine the ordering. Using such a sequence directly would result in strictly increasing sequences. That does not work. Instead use only the first (smallest) number in the subset as is. Each subsequent number is the difference between the previous number in the sequence and the current one. This allows an arbitrary ordered sequence of integers with 1 as a minimum.
With the power set axiom and the above construction One can
write the following expression that is true if program with
Gödel number
is well founded.
Recall from Section 6.2
that an ordinal is defined as being well ordered by
and transitive. So in addition to being well founded an ordinal
representation must meet these requirements. These properties
require a search over all members of specific sets. Such an
infinite search is not recursive. It requires an existential
quantifier in an expression like
. Recall Section 6.1 and Table 6.2 show how to replace multiple
adjacent existential quantifiers with a single existential
quantifier. Using this technique one can incorporate the transitive
and well ordered properties as well as the requirement that each
set has a unique representation into the
part of the
above expression defining well founded programs.
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