1.4. Structures of mathematical systems
The structures, interpreting each structure symbol from a given language over
a list of types (or notions), form a described system by relating the objects of some given
types, giving their roles to the objects of each type with respect to those of other types.
According to these roles, objects may be thought of as complex objects, in
spite of have otherwise no nature like urelements.
The kinds of structures (and thus the kinds of structure symbols)
allowed in first-order theories, thus called first-order structures,
will be classified into operators and predicates. We shall
describe them as operations designated by structure symbols in a set
theoretical interpretation. More powerful structures called second-order
structures will be introduced in 5.1, coming from set theoretical tools or as
packs of an additional type with first-order structures.
First-order structures
An operator is an operation between interpreted types.
On the side of the theory before interpretation, each operator symbol
comes with its symbol type made of
- its list of arguments (variable symbols figured as places
around the operator symbol instead of names),
- for each argument, its abstract type, whose value as a set will be the
range of this argument in any interpretation;
- its type of results, type which will contain all results of the operation
it will designate in any interpretation with given values of its arguments.
In a theory with only one type, this data is reduced to the arity.
The constant symbols (or constants) of a theory
are its nullary operator symbols (having no argument).
Unary operators (that are functions) will be called here functors
(*).
The list of types is completed by the Boolean type, interpreted as the set
of two elements we shall denote 1 for «true» and 0 for «false». A variable of this
type (outside the theory) is called a Boolean variable.
A para-operator is a generalized operator allowing the
Boolean type among its types of arguments and results.
A (logical) connective is a para-operator with only Boolean arguments
and values.
A predicate is a para-operator with Boolean values, and at
least one argument but no Boolean argument.
As will be formalized in 2.6.,
any n-ary operator f may be reduced to the (n+1)-ary predicate
(y = f(x_{1},...,x_{n})), true for a
unique value of y for any
chosen values of x_{1},...,x_{n}.
Structures of set theory
Formalizing set theory, means describing it as a theory with its notions,
structures and axioms. We shall admit 3 primitive notions : elements (all
objects), sets and functions. Their main primitive structures are introduced
below. Most other primitive symbols and axioms will be presented in 1.7,1.8, 2.1
and 2.2, in a dedicated logical framework, convertible into first-order logic by a
procedure also described in 2.1. Still more primitive components will be needed
and added later (2.3, 2.6, 2.7, 4.3). Optional ones, such as the axiom of
choice (2.12), will open a diversity of possible set theories.
This view of set theory as described by (one-)model theory, relates the terminologies
of both theories in a different way than when interpreting generic theories in set theory.
As the set theoretical notions (sets, functions...) need to keep their natural names when
defined by this formalization, it would become incorrect to keep that terminology
for their use in the sense of the previous link (where notions were "sets" and
operators were "operations"). To avoid confusion, let us here only use the model theoretical
notions as our conceptual framework, ignoring their set theoretical interpretations.
We shall describe in 1.7 and 1.B how both links can be put together, and
how both ways to conceive the same theories (describing them by model
theory or using a set theoretical interpretation) can be reconciled.
One aspect of the role of sets is given by the binary predicate ∈ of belonging :
for any element x and any set E, we say that x is in E
(or x belongs to E, or x is an element of E, or
E contains x) and write x ∈ E, to mean that
x is a possible value of the variables with range E.
Functions f play their role by two operators: the domain
functor Dom, and the function evaluator, binary operator
that is implicit in the notation f(x), with arguments
f and x, giving the value of any function f
at any element x of Dom f.
About ZFC set theory
The Zermelo-Fraenkel set theory (ZF, or ZFC with the axiom of choice)
is a generic theory with only one type «set», one structure symbol ∈ ,
and axioms. It implicitly assumes that every object is a set, and thus a set
of sets and so on, built over the empty set.
As a rather simply expressible
but very powerful set theory for an enlarged founding cycle, it can be a good
choice indeed for specialists of mathematical logic to conveniently prove diverse
difficult foundational theorems, such as the unprovability of some statements,
while giving them a scope that is arguably among the best conceivable ones.
But despite the habit of authors of basic math courses to conceive their
presentation of set theory as a popularized or implicit version of ZF(C), it is
actually not an ideal reference for a start of mathematics for beginners:
- It cannot be self-contained as it must assume the framework of model theory to
make sense.
- Its axioms, usually just admitted (as either intuitive,
obvious, necessary or just historically selected for their consistency and the
convenience of their consequences), would actually deserve more subtle and
complex justifications, which cannot find place at a starting point.
- Ordinary mathematics, using many objects usually not seen as sets,
are only inelegantly developed from this basis. As the roles of all needed
objects can anyway be indirectly played by sets, they did not require another
formalization, but remained cases of discrepancy between the
«theory» and the practice of mathematics.
The complexity and weirdness of these needed developments
do not disturb specialists just because once known possible, they
can simply be taken for granted.
Formalizing types and structures as objects of one-model theory
To formalize one-model theory through the use of the meta- prefix,
both meta-notions of "types" and "structures" are given their roles by
meta-structures as follows.
Since one-model theory assumes a fixed model, it only needs one
meta-type of "types" to play both roles of abstracts types (in the theory)
and interpreted types (components of the model), respectively given by
two meta-functors: one from variables to types, and one from objects
to types. Indeed the more general notion of «set of objects» is not used
and can be ignored.
But the meta-notion of structure will have to remain distinct from the language,
because more structures beyond those named in the language will be involved (1.5).
Structures will get their roles as operations, from meta-structures similar to
the function evaluator (see 3.1-3.2 for clues), while the
language (set of structure symbols) will be interpreted there by a meta-functor from
structure symbols to structures.
However, this mere formalization would leave
undetermined the range of this notion of structure. Trying to conceive this range as that of
«all operations between interpreted types» would leave unknown the source
of knowledge of such a totality. This idea of totality will be formalized in set
theory as the powerset (2.7), but its meaning will still depend on the
universe where it is interpreted, far from our present concern for one-model theory.
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FR : 1.4. Structures des systèmes
mathématiques