Calculus of constructions

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In mathematical logic and computer science, the calculus of constructions (CoC) is a type theory created by Thierry Coquand. It can serve as both a typed programming language and as constructive foundation for mathematics. For this second reason, the CoC and its variants have been the basis for Coq and other proof assistants.

Some of its variants include the calculus of inductive constructions[1] (which adds inductive types), the calculus of (co)inductive constructions (which adds coinduction), and the predicative calculus of inductive constructions (which removes some impredicativity).

The calculus of constructions, with an additional axiom corresponding to the axiom of choice, can be encoded in Zermelo–Fraenkel set theory with choice (ZFC), and vice versa. Therefore, both are equiconsistent.[2]

General traits[]

The CoC is a higher-order typed lambda calculus, initially developed by Thierry Coquand. It is well known for being at the top of Barendregt's lambda cube. It is possible within CoC to define functions from terms to terms, as well as terms to types, types to types, and types to terms.

The CoC is strongly normalizing, and hence consistent.[3] By Gödel's incompleteness theorem it is impossible to prove consistency from within the CoC itself.[citation needed]

Usage[]

The CoC has been developed alongside the Coq proof assistant. As features were added (or possible liabilities removed) to the theory, they became available in Coq.

Variants of the CoC are used in other proof assistants, such as Matita.

The basics of the calculus of constructions[]

The calculus of constructions can be considered an extension of the Curry–Howard isomorphism. The Curry–Howard isomorphism associates a term in the simply typed lambda calculus with each natural-deduction proof in intuitionistic propositional logic. The calculus of constructions extends this isomorphism to proofs in the full intuitionistic predicate calculus, which includes proofs of quantified statements (which we will also call "propositions").

Terms[]

A term in the calculus of constructions is constructed using the following rules:

  • is a term (also called type);
  • is a term (also called prop, the type of all propositions);
  • Variables () are terms;
  • If and are terms, then so is ;
  • If and are terms and is a variable, then the following are also terms:
    • ,
    • .

In other words, the term syntax, in BNF, is then:

The calculus of constructions has five kinds of objects:

  1. proofs, which are terms whose types are propositions;
  2. propositions, which are also known as small types;
  3. predicates, which are functions that return propositions;
  4. large types, which are the types of predicates ( is an example of a large type);
  5. itself, which is the type of large types.

Judgments[]

The calculus of constructions allows proving typing judgments:

Which can be read as the implication

If variables have, respectively, types , then term has type .

The valid judgments for the calculus of constructions are derivable from a set of inference rules. In the following, we use to mean a sequence of type assignments ; to mean terms; and to mean either or . We shall write to mean the result of substituting the term for the free variable in the term .

An inference rule is written in the form

which means

If is a valid judgment, then so is

Inference rules for the calculus of constructions[]

1.

2.

3.

4.

5.

6.

Defining logical operators[]

The calculus of constructions has very few basic operators: the only logical operator for forming propositions is . However, this one operator is sufficient to define all the other logical operators:

Defining data types[]

The basic data types used in computer science can be defined within the calculus of constructions:

Booleans
Naturals
Product
Disjoint union

Note that Booleans and Naturals are defined in the same way as in Church encoding. However, additional problems arise from propositional extensionality and proof irrelevance.[4]

See also[]

References[]

  1. ^ Calculus of Inductive Constructions, and basic standard libraries : Datatypes and Logic.
  2. ^ Werner, Benjamin (1997). "Sets in types, types in sets". In Abadi, Martín; Ito, Takayasu (eds.). Theoretical Aspects of Computer Software, Third International Symposium, TACS '97, Sendai, Japan, September 23-26, 1997, Proceedings. Lecture Notes in Computer Science. 1281. Springer. pp. 530–346. doi:10.1007/BFb0014566.
  3. ^ Coquand, Thierry; Gallier, Jean H. (July 1990). "A Proof of Strong Normalization for the Theory of Constructions Using a Kripke-Like Interpretation": 14. Cite journal requires |journal= (help)
  4. ^ "Standard Library | The Coq Proof Assistant". coq.inria.fr. Retrieved 2020-08-08.
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