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Intuitionistic type theory (also known as constructive type theory, or Martin-Löf type theory) is a
type theory In mathematics, logic, and computer science, a type theory is the formal system, formal presentation of a specific type system, and in general type theory is the academic study of type systems. Some type theories serve as alternatives to set theor ...
and an alternative
foundation of mathematics Foundations of mathematics is the study of the philosophical and logical and/or algorithmic basis of mathematics, or, in a broader sense, the mathematical investigation of what underlies the philosophical theories concerning the nature of math ...
. Intuitionistic type theory was created by
Per Martin-Löf Per Erik Rutger Martin-Löf (; ; born 8 May 1942) is a Swedish logician, philosopher, and mathematical statistician. He is internationally renowned for his work on the foundations of probability, statistics, mathematical logic, and computer scie ...
, a
Swedish Swedish or ' may refer to: Anything from or related to Sweden, a country in Northern Europe. Or, specifically: * Swedish language, a North Germanic language spoken primarily in Sweden and Finland ** Swedish alphabet, the official alphabet used by ...
mathematician A mathematician is someone who uses an extensive knowledge of mathematics in their work, typically to solve mathematical problems. Mathematicians are concerned with numbers, data, quantity, mathematical structure, structure, space, Mathematica ...
and philosopher, who first published it in 1972. There are multiple versions of the type theory: Martin-Löf proposed both intensional and extensional variants of the theory and early impredicative versions, shown to be inconsistent by
Girard's paradox In mathematical logic, System U and System U− are pure type systems, i.e. special forms of a typed lambda calculus with an arbitrary number of sorts, axioms and rules (or dependencies between the sorts). They were both proved inconsistent by Jea ...
, gave way to predicative versions. However, all versions keep the core design of constructive logic using dependent types.


Design

Martin-Löf designed the type theory on the principles of mathematical constructivism. Constructivism requires any existence proof to contain a "witness". So, any proof of "there exists a prime greater than 1000" must identify a specific number that is both prime and greater than 1000. Intuitionistic type theory accomplished this design goal by internalizing the BHK interpretation. An interesting consequence is that proofs become mathematical objects that can be examined, compared, and manipulated. Intuitionistic type theory's type constructors were built to follow a one-to-one correspondence with logical connectives. For example, the logical connective called implication (A \implies B) corresponds to the type of a function (A \to B). This correspondence is called the Curry–Howard isomorphism. Previous type theories had also followed this isomorphism, but Martin-Löf's was the first to extend it to
predicate logic First-order logic—also known as predicate logic, quantificational logic, and first-order predicate calculus—is a collection of formal systems used in mathematics, philosophy, linguistics, and computer science. First-order logic uses quanti ...
by introducing dependent types.


Type theory

Intuitionistic type theory has 3 finite types, which are then composed using 5 different type constructors. Unlike set theories, type theories are not built on top of a logic like Frege's. So, each feature of the type theory does double duty as a feature of both math and logic. ''If you are unfamiliar with type theory and know set theory, a quick summary is: Types contain terms just like sets contain elements. Terms belong to one and only one type. Terms like 2+2 and 2\cdot 2 compute ("reduce") down to canonical terms like 4. For more, see the article on
Type theory In mathematics, logic, and computer science, a type theory is the formal system, formal presentation of a specific type system, and in general type theory is the academic study of type systems. Some type theories serve as alternatives to set theor ...
.''


0 type, 1 type and 2 type

There are 3 finite types: The 0 type contains 0 terms. The 1 type contains 1 canonical term. And the 2 type contains 2 canonical terms. Because the 0 type contains 0 terms, it is also called the empty type. It is used to represent anything that cannot exist. It is also written \bot and represents anything unprovable. (That is, a proof of it cannot exist.) As a result,
negation In logic, negation, also called the logical complement, is an operation that takes a proposition P to another proposition "not P", written \neg P, \mathord P or \overline. It is interpreted intuitively as being true when P is false, and fals ...
is defined as a function to it: \neg A := A \to \bot. Likewise, the 1 type contains 1 canonical term and represents existence. It also is called the
unit type In the area of mathematical logic and computer science known as type theory, a unit type is a type that allows only one value (and thus can hold no information). The carrier (underlying set) associated with a unit type can be any singleton set. ...
. It often represents propositions that can be proven and is, therefore, sometimes written \top. Finally, the 2 type contains 2 canonical terms. It represents a definite choice between two values. It is used for Boolean values but ''not'' propositions. Propositions are considered the 1 type and may be proven to never have a proof (the 0 type), or may not be proven either way. (The
Law of Excluded Middle In logic, the law of excluded middle (or the principle of excluded middle) states that for every proposition, either this proposition or its negation is true. It is one of the so-called three laws of thought, along with the law of noncontradic ...
does not hold for propositions in intuitionistic type theory.)


Σ type constructor

Σ-types contain ordered pairs. As with typical ordered pair (or 2-tuple) types, a Σ-type can describe the
Cartesian product In mathematics, specifically set theory, the Cartesian product of two sets ''A'' and ''B'', denoted ''A''×''B'', is the set of all ordered pairs where ''a'' is in ''A'' and ''b'' is in ''B''. In terms of set-builder notation, that is : A\ ...
, A \times B, of two other types, A and B. Logically, such an ordered pair would hold a proof of A and a proof of B, so one may see such a type written as A \wedge B. Σ-types are more powerful than typical ordered pair types because of dependent typing. In the ordered pair, the type of the second term can depend on the value of the first term. For example, the first term of the pair might be a natural number and the second term's type might be a vector of length equal to the first term. Such a type would be written: :\sum_ \operatorname(, n) Using set-theory terminology, this is similar to an indexed
disjoint union In mathematics, a disjoint union (or discriminated union) of a family of sets (A_i : i\in I) is a set A, often denoted by \bigsqcup_ A_i, with an injection of each A_i into A, such that the images of these injections form a partition of A ...
s of sets. In the case of usual ordered pairs, the type of the second term does not depend on the value of the first term. Thus the type describing the cartesian product \times is written: :\sum_ It is important to note here that the value of the first term, n, is not depended on by the type of the second term, . Σ-types can be used to build up longer dependently-typed
tuple In mathematics, a tuple is a finite ordered list (sequence) of elements. An -tuple is a sequence (or ordered list) of elements, where is a non-negative integer. There is only one 0-tuple, referred to as ''the empty tuple''. An -tuple is defi ...
s used in mathematics and the records or structs used in most programming languages. An example of a dependently-typed 3-tuple is two integers and a proof that the first integer is smaller than the second integer, described by the type: :\sum_ Dependent typing allows Σ-types to serve the role of
existential quantifier In predicate logic, an existential quantification is a type of quantifier, a logical constant which is interpreted as "there exists", "there is at least one", or "for some". It is usually denoted by the logical operator symbol ∃, which, w ...
. The statement "there exists an n of type , such that P(n) is proven" becomes the type of ordered pairs where the first item is the value n of type and the second item is a proof of P(n). Notice that the type of the second item (proofs of P(n)) depends on the value in the first part of the ordered pair (n). Its type would be: :\sum_ P(n)


Π type constructor

Π-types contain functions. As with typical function types, they consist of an input type and an output type. They are more powerful than typical function types however, in that the return type can depend on the input value. Functions in type theory are different from set theory. In set theory, you look up the argument's value in a set of ordered pairs. In type theory, the argument is substituted into a term and then computation ("reduction") is applied to the term. As an example, the type of a function that, given a natural number n, returns a vector containing n real numbers is written: :\prod_ \operatorname(, n) When the output type does not depend on the input value, the function type is often simply written with a \to. Thus, \to is the type of functions from natural numbers to real numbers. Such Π-types correspond to logical implication. The logical proposition A \implies B corresponds to the type A \to B, containing functions that take proofs-of-A and return proofs-of-B. This type could be written more consistently as: :\prod_ B Π-types are also used in logic for
universal quantification In mathematical logic, a universal quantification is a type of quantifier, a logical constant which is interpreted as "given any" or "for all". It expresses that a predicate can be satisfied by every member of a domain of discourse. In othe ...
. The statement "for every n of type , P(n) is proven" becomes a function from n of type to proofs of P(n). Thus, given the value for n the function generates a proof that P() holds for that value. The type would be :\prod_ P(n)


= type constructor

=-types are created from two terms. Given two terms like 2+2 and 2 \cdot 2, you can create a new type 2+2=2\cdot 2. The terms of that new type represent proofs that the pair reduce to the same canonical term. Thus, since both 2+2 and 2\cdot 2 compute to the canonical term 4, there will be a term of the type 2+2=2\cdot 2. In intuitionistic type theory, there is a single way to make terms of =-types and that is by reflexivity: :\operatorname \mathbin \prod_ (a = a). It is possible to create =-types such as 1=2 where the terms do not reduce to the same canonical term, but you will be unable to create terms of that new type. In fact, if you were able to create a term of 1=2, you could create a term of \bot. Putting that into a function would generate a function of type 1=2 \to \bot. Since \ldots \to \bot is how intuitionistic type theory defines negation, you would have \neg (1=2) or, finally, 1 \neq 2. Equality of proofs is an area of active research in proof theory and has led to the development of homotopy type theory and other type theories.


Inductive types

Inductive types allow the creation of complex, self-referential types. For example, a linked list of natural numbers is either an empty list or a pair of a natural number and another linked list. Inductive types can be used to define unbounded mathematical structures like trees, graphs, etc.. In fact, the natural numbers type may be defined as an inductive type, either being 0 or the successor of another natural number. Inductive types define new constants, such as zero 0 \mathbin and the successor function S \mathbin \to . Since S does not have a definition and cannot be evaluated using substitution, terms like S 0 and S S S 0 become the canonical terms of the natural numbers. Proofs on inductive types are made possible by induction. Each new inductive type comes with its own inductive rule. To prove a predicate P() for every natural number, you use the following rule: :\, \mathbin P(0)\, \to \left(\prod_ P(n) \to P(S(n))\right) \to \prod_ P(n) Inductive types in intuitionistic type theory are defined in terms of W-types, the type of
well-founded In mathematics, a binary relation ''R'' is called well-founded (or wellfounded) on a class ''X'' if every non-empty subset ''S'' ⊆ ''X'' has a minimal element with respect to ''R'', that is, an element ''m'' not related by ''s  ...
trees. Later work in type theory generated coinductive types, induction-recursion, and induction-induction for working on types with more obscure kinds of self-referentiality. Higher inductive types allow equality to be defined between terms.


Universe types

The universe types allow proofs to be written about all the types created with the other type constructors. Every term in the universe type \mathcal_0 can be mapped to a type created with any combination of 0,1,2,\Sigma,\Pi,=, and the inductive type constructor. However, to avoid paradoxes, there is no term in \mathcal_0 that maps to \mathcal_0. To write proofs about all "the small types" and \mathcal_0, you must use \mathcal_1, which does contain a term for \mathcal_0, but not for itself \mathcal_1. Similarly, for \mathcal_2. There is a predicative hierarchy of universes, so to quantify a proof over any fixed constant k universes, you can use \mathcal_. Universe types are a tricky feature of type theories. Martin-Löf's original type theory had to be changed to account for
Girard's paradox In mathematical logic, System U and System U− are pure type systems, i.e. special forms of a typed lambda calculus with an arbitrary number of sorts, axioms and rules (or dependencies between the sorts). They were both proved inconsistent by Jea ...
. Later research covered topics such as "super universes", "Mahlo universes", and impredicative universes.


Judgements

The formal definition of intuitionistic type theory is written using judgements. For example, in the statement "if A is a type and B is a type then \textstyle \sum_ B is a type" there are judgements of "is a type", "and", and "if ... then ...". The expression \textstyle \sum_ B is not a judgement; it is the type being defined. This second level of the type theory can be confusing, particularly where it comes to equality. There is a judgement of term equality, which might say 4=2+2. It is a statement that two terms reduce to the same canonical term. There is also a judgement of type equality, say that A=B, which means every element of A is an element of the type B and vice versa. At the type level, there is a type 4=2+2 and it contains terms if there is a proof that 4 and 2+2 reduce to the same value. (Terms of this type are generated using the term-equality judgement.) Lastly, there is an English-language level of equality, because we use the word "four" and symbol "4" to refer to the canonical term S S S S 0. Synonyms like these are called "definitionally equal" by Martin-Löf. The description of judgements below is based on the discussion in Nordström, Petersson, and Smith. The formal theory works with ''types'' and ''objects''. A type is declared by: * A\ \mathsf An object exists and is in a type if: * a \mathbin A Objects can be equal * a = b and types can be equal * A = B A type that depends on an object from another type is declared * (x \mathbin A)B and removed by substitution * B / a, replacing the variable x with the object a in B. An object that depends on an object from another type can be done two ways. If the object is "abstracted", then it is written * and removed by substitution * b / a, replacing the variable x with the object a in b. The object-depending-on-object can also be declared as a constant as part of a recursive type. An example of a recursive type is: * 0 \mathbin \mathbb * S \mathbin \mathbb \to \mathbb Here, S is a constant object-depending-on-object. It is not associated with an abstraction. Constants like S can be removed by defining equality. Here the relationship with addition is defined using equality and using pattern matching to handle the recursive aspect of S: : \begin \operatorname &\mathbin\ (\mathbb \times \mathbb) \to \mathbb \\ \operatorname(0, b) &= b \\ \operatorname(S(a), b) &= S(\operatorname(a, b))) \end S is manipulated as an opaque constant - it has no internal structure for substitution. So, objects and types and these relations are used to express formulae in the theory. The following styles of judgements are used to create new objects, types and relations from existing ones: By convention, there is a type that represents all other types. It is called \mathcal (or \operatorname). Since \mathcal is a type, the members of it are objects. There is a dependent type \operatorname that maps each object to its corresponding type. ''In most texts \operatorname is never written.'' From the context of the statement, a reader can almost always tell whether A refers to a type, or whether it refers to the object in \mathcal that corresponds to the type. This is the complete foundation of the theory. Everything else is derived. To implement logic, each proposition is given its own type. The objects in those types represent the different possible ways to prove the proposition. If there is no proof for the proposition, then the type has no objects in it. Operators like "and" and "or" that work on propositions introduce new types and new objects. So A \times B is a type that depends on the type A and the type B. The objects in that dependent type are defined to exist for every pair of objects in A and B. If A or B has no proof and is an empty type, then the new type representing A \times B is also empty. This can be done for other types (booleans, natural numbers, etc.) and their operators.


Categorical models of type theory

Using the language of category theory,
R. A. G. Seely R. or r. may refer to: * ''Reign'', the period of time during which an Emperor, king, queen, etc., is ruler. * '' Rex'', abbreviated as R., the Latin word meaning King * ''Regina'', abbreviated as R., the Latin word meaning Queen * or , abbreviat ...
introduced the notion of a locally cartesian closed category (LCCC) as the basic model of type theory. This has been refined by Hofmann and Dybjer to ''Categories with Families'' or ''Categories with Attributes'' based on earlier work by Cartmell. A category with families is a category ''C'' of contexts (in which the objects are contexts, and the context morphisms are substitutions), together with a functor ''T'' : ''C''op → ''Fam''(''Set''). ''Fam''(''Set'') is the
category of families Category, plural categories, may refer to: Philosophy and general uses * Categorization, categories in cognitive science, information science and generally *Category of being * ''Categories'' (Aristotle) *Category (Kant) *Categories (Peirce) * ...
of Sets, in which objects are pairs of an "index set" ''A'' and a function ''B'': ''X'' → ''A'', and morphisms are pairs of functions ''f'' : ''A'' → ''A' '' and ''g'' : ''X'' → ''X' '', such that ''B' '' ° ''g'' = ''f'' ° ''B'' in other words, ''f'' maps ''Ba'' to ''B''''g''(''a''). The functor ''T'' assigns to a context ''G'' a set of types, and for each , a set of terms. The axioms for a functor require that these play harmoniously with substitution. Substitution is usually written in the form ''Af'' or ''af'', where ''A'' is a type in and ''a'' is a term in , and ''f'' is a substitution from ''D'' to ''G''. Here and . The category ''C'' must contain a terminal object (the empty context), and a final object for a form of product called comprehension, or context extension, in which the right element is a type in the context of the left element. If ''G'' is a context, and , then there should be an object final among contexts ''D'' with mappings ''p'' : ''D'' → ''G'', ''q'' : ''Tm''(''D,Ap''). A logical framework, such as Martin-Löf's takes the form of closure conditions on the context dependent sets of types and terms: that there should be a type called Set, and for each set a type, that the types should be closed under forms of dependent sum and product, and so forth. A theory such as that of predicative set theory expresses closure conditions on the types of sets and their elements: that they should be closed under operations that reflect dependent sum and product, and under various forms of inductive definition.


Extensional versus intensional

A fundamental distinction is extensional vs intensional type theory. In extensional type theory definitional (i.e., computational) equality is not distinguished from propositional equality, which requires proof. As a consequence type checking becomes undecidable in extensional type theory because programs in the theory might not terminate. For example, such a theory allows one to give a type to the Y-combinator; a detailed example of this can be found in Nordstöm and Petersson ''Programming in Martin-Löf's Type Theory''. However, this does not prevent extensional type theory from being a basis for a practical tool; for example, NuPRL is based on extensional type theory. In contrast in intensional type theory type checking is decidable, but the representation of standard mathematical concepts is somewhat more cumbersome, since intensional reasoning requires using setoids or similar constructions. There are many common mathematical objects which are hard to work with or cannot be represented without this, for example, integer numbers,
rational number In mathematics, a rational number is a number that can be expressed as the quotient or fraction of two integers, a numerator and a non-zero denominator . For example, is a rational number, as is every integer (e.g. ). The set of all ra ...
s, and
real number In mathematics, a real number is a number that can be used to measurement, measure a ''continuous'' one-dimensional quantity such as a distance, time, duration or temperature. Here, ''continuous'' means that values can have arbitrarily small var ...
s. Integers and rational numbers can be represented without setoids, but this representation is difficult to work with. Cauchy real numbers cannot be represented without this. Homotopy type theory works on resolving this problem. It allows one to define higher inductive types, which not only define first order constructors ( values or points), but higher order constructors, i.e. equalities between elements ( paths), equalities between equalities ( homotopies), ''ad infinitum''.


Implementations of type theory

Different forms of type theory have been implemented as the formal systems underlying of a number of proof assistants. While many are based on Per Martin-Löf's ideas, many have added features, more axioms, or different philosophical background. For instance, the NuPRL system is based on computational type theory and Coq is based on the calculus of (co)inductive constructions. Dependent types also feature in the design of
programming languages A programming language is a system of notation for writing computer program, computer programs. Most programming languages are text-based formal languages, but they may also be visual programming language, graphical. They are a kind of computer ...
such as ATS,
Cayenne Cayenne (; ; gcr, Kayenn) is the capital city of French Guiana, an overseas region and department of France located in South America. The city stands on a former island at the mouth of the Cayenne River on the Atlantic coast. The city's m ...
,
Epigram An epigram is a brief, interesting, memorable, and sometimes surprising or satirical statement. The word is derived from the Greek "inscription" from "to write on, to inscribe", and the literary device has been employed for over two mille ...
, Agda, and
Idris Idris may refer to: People * Idris (name), a list of people and fictional characters with the given name or surname * Idris (prophet), Islamic prophet in the Qur'an, traditionally identified with Enoch, an ancestor of Noah in the Bible * Idris G ...
.


Martin-Löf type theories

Per Martin-Löf Per Erik Rutger Martin-Löf (; ; born 8 May 1942) is a Swedish logician, philosopher, and mathematical statistician. He is internationally renowned for his work on the foundations of probability, statistics, mathematical logic, and computer scie ...
constructed several type theories that were published at various times, some of them much later than when the preprints with their description became accessible to the specialists (among others
Jean-Yves Girard Jean-Yves Girard (; born 1947) is a French logician working in proof theory. He is the research director (emeritus) at the mathematical institute of the University of Aix-Marseille, at Luminy. Biography Jean-Yves Girard is an alumnus of th ...
and Giovanni Sambin). The list below attempts to list all the theories that have been described in a printed form and to sketch the key features that distinguished them from each other. All of these theories had dependent products, dependent sums, disjoint unions, finite types and natural numbers. All the theories had the same reduction rules that did not include η-reduction either for dependent products or for dependent sums, except for MLTT79 where the η-reduction for dependent products is added. MLTT71 was the first of type theories created by Per Martin-Löf. It appeared in a preprint in 1971. It had one universe but this universe had a name in itself, i.e. it was a type theory with, as it is called today, "Type in Type".
Jean-Yves Girard Jean-Yves Girard (; born 1947) is a French logician working in proof theory. He is the research director (emeritus) at the mathematical institute of the University of Aix-Marseille, at Luminy. Biography Jean-Yves Girard is an alumnus of th ...
has shown that this system was inconsistent and the preprint was never published. MLTT72 was presented in a 1972 preprint that has now been published. That theory had one universe V and no identity types. The universe was " predicative" in the sense that the dependent product of a family of objects from V over an object that was not in V such as, for example, V itself, was not assumed to be in V. The universe was à la Russell's ''
Principia Mathematica The ''Principia Mathematica'' (often abbreviated ''PM'') is a three-volume work on the foundations of mathematics written by mathematician–philosophers Alfred North Whitehead and Bertrand Russell and published in 1910, 1912, and 1913. ...
'', i.e., one would write directly "T∈V" and "t∈T" (Martin-Löf uses the sign "∈" instead of modern ":") without the additional constructor such as "El". MLTT73 was the first definition of a type theory that Per Martin-Löf published (it was presented at the Logic Colloquium '73 and published in 1975). There are identity types which he calls "propositions" but since no real distinction between propositions and the rest of the types is introduced the meaning of this is unclear. There is what later acquires the name of J-eliminator but yet without a name (see pp. 94–95). There is in this theory an infinite sequence of universes V0, ..., V''n'', ... . The universes are predicative, à la Russell and ''non-cumulative''. In fact, Corollary 3.10 on p. 115 says that if A∈V''m'' and B∈V''n'' are such that A and B are convertible then ''m'' = ''n''. This means, for example, that it would be difficult to formulate univalence in this theory—there are contractible types in each of the Vi but it is unclear how to declare them to be equal since there are no identity types connecting V''i'' and V''j'' for ''i'' ≠ ''j''. MLTT79 was presented in 1979 and published in 1982. In this paper, Martin-Löf introduced the four basic types of judgement for the dependent type theory that has since become fundamental in the study of the meta-theory of such systems. He also introduced contexts as a separate concept in it (see p. 161). There are identity types with the J-eliminator (which already appeared in MLTT73 but did not have this name there) but also with the rule that makes the theory "extensional" (p. 169). There are W-types. There is an infinite sequence of predicative universes that ''are cumulative''. Bibliopolis: there is a discussion of a type theory in the ''Bibliopolis'' book from 1984Per Martin-Löf, "Intuitionistic type theory", ''Studies in Proof Theory'' (lecture notes by Giovanni Sambin), vol. 1, pp. iv+91, 1984 but it is somewhat open-ended and does not seem to represent a particular set of choices and so there is no specific type theory associated with it.


See also

*
Intuitionistic logic Intuitionistic logic, sometimes more generally called constructive logic, refers to systems of symbolic logic that differ from the systems used for classical logic by more closely mirroring the notion of constructive proof. In particular, system ...
*
Typed lambda calculus A typed lambda calculus is a typed formalism (mathematics), formalism that uses the lambda-symbol (\lambda) to denote anonymous function abstraction. In this context, types are usually objects of a syntactic nature that are assigned to lambda term ...


Notes


References

*


Further reading

*
Per Martin-Löf's Notes, as recorded by Giovanni Sambin (1980)
* * *


External links



– lecture notes and slides from the Types Summer School 2005

– letter from
John Baez John Carlos Baez (; born June 12, 1961) is an American mathematical physicist and a professor of mathematics at the University of California, Riverside (UCR) in Riverside, California. He has worked on spin foams in loop quantum gravity, appl ...
and James Dolan to Ross Street, November 29, 1995 {{DEFAULTSORT:Intuitionistic Type Theory Foundations of mathematics Dependently typed programming Constructivism (mathematics) Type theory Logic in computer science Intuitionism