Polymorphic Rewriting Conserves Algebraic Strong Normalization

We study combinations of many-sorted algebraic term rewriting systems and polymorphic lambda term rewriting. Algebraic and lambda terms are mixed by adding the symbols of the algebraic signature to the polymorphic lambda calculus, as higher-order constants. We show that if a many-sorted algebraic rewrite system R is strongly normalizing (terminating, noetherian), then R + β + η + type-η rewriting of mixed terms is also strongly normalizing. The result is obtained using a technique which generalizes Girard\u27s candidats de reductibilité , introduced in the original proof of strong normalization for the polymorphic lambda calculus

Decidable Type Inference for the Polymorphic Rewriting Calculus

National audienceThe rewriting calculus is a minimal framework embedding lambda calculus and term rewriting systems that allows abstraction on variables and patterns. The rewriting calculus features higher-order functions (from the lambda calculus) and pattern matching (from term rewriting systems). In this paper, we study extensively the decidability of type inference in the second-order rewriting calculus à la Curry

Developments in the rewriting calculus

The theory of developments, originally developed for the Lambda calculus, has been successfully adapted to several other computational paradigms, like first- and higher-order term rewrite system. The main desirable results on developments are the fact that the complete development of a finite set of redexes always terminates (FD) and the fact that, for a given initial term, all complete developments of a fixed set of redexes end with the same term (FD!). Following the ideas in the Lambda calculus, in this paper, we present a notion of development and the proofs of theorems FD and FD! for the rewriting calculus, a framework embedding Lambda calculus and rewriting capabilities, by allowing abstraction not only on variables but also on patterns. As an additional contribution, a new proof of the confluence property for the rewriting calculus, is obtained as a consequence of the results on developments

The Origins of lambda-calculus and term rewriting systems

We use origin functions to describe the notion of descendance and residuals in reduction systems such as the lambda-calculus and lineart term rewriting systems. We compare the origin functions for the lambda-calculus and for term rewriting systems that implement this calculus, lambda-sigma and lambda Env. We show that the notions of origin do not correspond exactly, but we describe an extension of lambda Env. We show that this extension is not sufficient to give the same result for lambda-sigma and we give another extension for that system. This work is interesting as it provides with a distinction between the two term rewriting systems. This work has applications in the debugging of languages based on the lambda-calculus or environments

Polymorphic Rewriting Conserves Algebraic Confluence

We study combinations of many-sorted algebraic term rewriting systems and polymorphic lambda term rewriting. Algebraic and lambda terms are mixed by adding the symbols of the algebraic signature to the polymorphic lambda calculus, as higher-order constants. We show that if a many-sorted algebraic rewrite system R has the Church-Rosser property (is confluent), then R + β + type-β + type-η rewriting of mixed terms has the Church-Rosser property too. η reduction does not commute with algebraic reduction, in general. However, using long normal forms, we show that if R is canonical (confluent and strongly normalizing) then equational provability from R + β + η + type-β + type-η is still decidable

Polymorphic Rewriting Conserves Algebraic Strong Normalization and Confluence

We study combinations of many-sorted algebraic term rewriting systems and polymorphic lambda term rewriting. Algebraic and lambda terms are mixed by adding the symbols of the algebraic signature to the polymorphic lambda calculus, as higher-order constants. We show that if a many-sorted algebraic rewrite system R is strongly normalizing (terminating, noetherian), then R + β + η + type-β + type-η rewriting of mixed terms is also strongly normalizing. We obtain this results using a technique which generalizes Girard\u27s candidats de reductibilité , introduced in the original proof of strong normalization for the polymorphic lambda calculus. We also show that if a many-sorted algebraic rewrite system R has the Church-Rosser property (is confluent), then R + β + type-β + type-η rewriting of mixed terms has the Church- Rosser property too. Combining the two results, we conclude that if R is canonical (complete) on algebraic terms, then R + β + type-β + type-η is canonical on mixed terms. η reduction does not commute with a1gebraic reduction, in general. However, using long β- normal forms, we show that if R is canonical then R + β + η + type-β + type-η convertibility is still decidable

Elements of mathematics and logic for computer program analysis

1 Introduction 2 Induction and sequences 2.1 Induction on natural numbers 2.2 Words and sequences 2.3 A digression on set theory 2.4 Induction on words 2.5 Grammar rules and string rewriting 3 Terms 3.1 Definition of terms 3.2 Knaster-Tarski's fixpoint theorem (1927) 3.3 Kleene's fixpoint theorem (1952?) 3.4 Pattern matching and term rewriting 3.5 Models of a term algebra 4 Lambda-calculus 4.1 Definition of λ-calculus 4.2 Church-computable functions 4.3 Kleene-computable functions 4.4 Turing-computable functions 5 Simply-typed lambda-calculus 5.1 Curry-style simply-typed λ-calculus . 5.2 Unification 5.3 Type inference 5.4 Church-style simply-typed λ-calculus 6 First-order logic 6.1 Formulas and truth 6.2 Provability and deduction systems 6.3 Proof terms and Curry-Howard correspondence 7 To go further 8 Solutions to exercises 8.1 Section 2: Induction and sequences 8.2 Section 3: Terms 8.3 Section 4: Lambda-calculus 8.4 Section 5: Simply-typed lambda-calculus 8.5 Section 6: First-order logicMasterIn order to be able to rigorously prove the correctness of a program, one must have a formal definition of: what is a program, syntactically; how it is evaluated, that is, what is its semantics; how to formulate the properties we are interested in; and how to prove them. All this requires to understand some basic mathematical notions like induction, terms, formulas, deduction, etc. These notes are intended to give an introduction to some of these notions

Translating Combinatory Reduction Systems into the Rewriting Calculus

Long version. Colloque avec actes et comité de lecture. internationale.International audienceThe last few years have seen the development of the rewriting calculus (or rho-calculus, RHO) that extends first order term rewriting and lambda-calculus. The integration of these two latter formalisms has been already handled either by enriching first-order rewriting with higher-order capabilities, like in the Combinatory Reduction Systems, or by adding to lambda-calculus algebraic features. The different higher-order rewriting systems and the rewriting calculus share similar concepts and have similar applications, and thus, it seems natural to compare these formalisms. We analyze in this paper the relationship between the Rewriting Calculus and the Combinatory Reduction Systems and we present a translation of CRS-terms and rewrite rules into rho-terms and we show that for any CRS-reduction we have a corresponding rho-reduction

The variable containment problem

The essentially free variables of a term $t$ in some $\lambda$-calculus, FV $_{\beta}(t)$, form the set ($x$ $_{\mid}^{\mid}$ $\forall u.t=_{\beta}u\Rightarrow x$ $\epsilon$ FV$(u)$}. This set is significant once we consider equivalence classes of $\lambda$-terms rather than $\lambda$-terms themselves, as for instance in higher-order rewriting. An important problem for (generalised) higher-order rewrite systems is the variable containment problem: given two terms $t$ and $u$, do we have for all substitutions $\theta$ and contexts $C$[] that FV$_{\beta}(C[t]^{\theta}) \supseteq$ FV$_{\beta}(C[u^{\theta}])$? This property is important when we want to consider $t \to u$ as a rewrite rule and keep $n$-step rewriting decidable. Variable containment is in general not implied by FV $_{\beta} (t)\supseteq$ FV$_{\beta}(u)$. We give a decision procedure for the variable containment problem of the second-order fragment of $\lambda^{\to}$. For full $\lambda^{\to}$ we show the equivalence of variable containment to an open problem in the theory of PCF; this equivalence also shows that the problem is decidable in the third-order case