From coinductive proofs to exact real arithmetic: theory and applications

Based on a new coinductive characterization of continuous functions we extract certified programs for exact real number computation from constructive proofs. The extracted programs construct and combine exact real number algorithms with respect to the binary signed digit representation of real numbers. The data type corresponding to the coinductive definition of continuous functions consists of finitely branching non-wellfounded trees describing when the algorithm writes and reads digits. We discuss several examples including the extraction of programs for polynomials up to degree two and the definite integral of continuous maps

Program extraction from coinductive proofs and its application to exact real arithmetic

Program extraction has been initiated in the field of constructive mathematics, and it attracts interest not only from mathematicians but also from computer scientists nowadays. From a mathematical viewpoint its aim is to figure out computational meaning of proofs, while from a computer-scientific viewpoint its aim is the study of a method to obtain correct programs. Therefore, it is natural to have both theoretical results and a practical computer system to develop executable programs via program extraction. In this Thesis we study the computational interpretation of constructive proofs involving inductive and coinductive reasoning. We interpret proofs by translating the computational content of proofs into executable program code. This translation is the procedure we call program extraction and it is given through Kreisel's modified realizability. Here we study a proof-theoretic foundation for program extraction, enriching the proof assistant system Minlog based on this theoretical improvement. Once a proof of a formula is written in Minlog, a program can be extracted from the proof by the system itself, and the extracted program can be executed in Minlog. Moreover, extracted programs are provably correct with respect to the proven formula due to a soundness theorem which we prove. We practice program extraction by elaborating some case studies from exact real arithmetic within our formal theory. Although these case studies have been studied elsewhere, here we offer a formalization of them in Minlog, and also machine-extraction of the corresponding programs.Die Methode der Programmextraktion hat ihren Ursprung im Bereich der konstruktiven Mathematik, und stößt in letzter Zeit auf viel Interesse nicht nur bei Mathematikern sondern auch bei Informatikern. Vom Standpunkt der Mathematik ist ihr Ziel, aus Beweisen ihre rechnerische Bedeutung abzulesen, während vom Standpunkt der Informatik ihr Ziel die Untersuchung einer Methode ist, beweisbar korrekte Programme zu erhalten. Es ist deshalb naheliegend, neben theoretischen Ergebnissen auch ein praktisches Computersystem zur Verfügung zu haben, mit dessen Hilfe durch Programmextraktion lauffähige Programme entwickelt werden können. In dieser Doktorarbeit wird eine rechnerische Interpretation konstruktiver Beweise mit induktiven und koinduktiven Definitionen angegeben und untersucht. Die Interpretation geschieht dadurch, daß der rechnerische Gehalt von Beweisen in eine Programmiersprache übersetzt wird. Diese übersetzung wird Programmextraktion genannt; sie basiert auf Kreisels modifizierter Realisierbarkeit. Wir untersuchen die beweistheoretischen Grundlagen der Programmextraktion und erweitern den Beweisassistenten Minlog auf der Basis der erhaltenen theoretischen Resultate. Wenn eine Formel in Minlog formal bewiesen ist, läßt sich ein Programm aus dem Beweis extrahieren, und dieses extrahierte Programm kann in Minlog ausgeführt werden. Ferner sind extrahierte Programme beweisbar korrekt bezüglich der entsprechenden Formel aufgrund eines Korrektheitsatzes, den wir beweisen werden. Innerhalb unserer formalen Theorie bearbeiten wir einige aus der Literatur bekannte Fallstudien im Bereich der exakten reellen Arithmetik. Wir entwickeln eine vollständige Formalisierung der entsprechenden Beweise und diskutieren die in Minlog automatisch extrahierten Programme

A coinductive approach to verified exact real number computation

We present an approach to verified programs for exact real number computation that is based on inductive and coinductive definitions and program extraction from proofs. We informally discuss the theoretical background of this method and give examples of extracted programs implementing the translation between the representation by fast converging rational Cauchy sequences and the signed binary digit representations of real numbers

Intuitionistic fixed point logic

The logical system IFP introduced in this paper supports program extraction from proofs, unifying theoretical and practical advantages: Based on first-order logic and powerful strictly positive inductive and coinductive definitions, IFP support abstract axiomatic mathematics with a large amount of classical logic. The Haskell-like target programming language has a denotational and an operational semantics which are linked through a computational adequacy theorem that extends to infinite data. Program extraction is fully verified and highly optimised, thus extracted programs are guaranteed to be correct and free of junk. A case study in exact real number computation underpins IFP's effectiveness

Program extraction from coinductive proofs and its application to exact real arithmetic

Program extraction has been initiated in the field of constructive mathematics, and it attracts interest not only from mathematicians but also from computer scientists nowadays. From a mathematical viewpoint its aim is to figure out computational meaning of proofs, while from a computer-scientific viewpoint its aim is the study of a method to obtain correct programs. Therefore, it is natural to have both theoretical results and a practical computer system to develop executable programs via program extraction. In this Thesis we study the computational interpretation of constructive proofs involving inductive and coinductive reasoning. We interpret proofs by translating the computational content of proofs into executable program code. This translation is the procedure we call program extraction and it is given through Kreisel's modified realizability. Here we study a proof-theoretic foundation for program extraction, enriching the proof assistant system Minlog based on this theoretical improvement. Once a proof of a formula is written in Minlog, a program can be extracted from the proof by the system itself, and the extracted program can be executed in Minlog. Moreover, extracted programs are provably correct with respect to the proven formula due to a soundness theorem which we prove. We practice program extraction by elaborating some case studies from exact real arithmetic within our formal theory. Although these case studies have been studied elsewhere, here we offer a formalization of them in Minlog, and also machine-extraction of the corresponding programs.Die Methode der Programmextraktion hat ihren Ursprung im Bereich der konstruktiven Mathematik, und stößt in letzter Zeit auf viel Interesse nicht nur bei Mathematikern sondern auch bei Informatikern. Vom Standpunkt der Mathematik ist ihr Ziel, aus Beweisen ihre rechnerische Bedeutung abzulesen, während vom Standpunkt der Informatik ihr Ziel die Untersuchung einer Methode ist, beweisbar korrekte Programme zu erhalten. Es ist deshalb naheliegend, neben theoretischen Ergebnissen auch ein praktisches Computersystem zur Verfügung zu haben, mit dessen Hilfe durch Programmextraktion lauffähige Programme entwickelt werden können. In dieser Doktorarbeit wird eine rechnerische Interpretation konstruktiver Beweise mit induktiven und koinduktiven Definitionen angegeben und untersucht. Die Interpretation geschieht dadurch, daß der rechnerische Gehalt von Beweisen in eine Programmiersprache übersetzt wird. Diese übersetzung wird Programmextraktion genannt; sie basiert auf Kreisels modifizierter Realisierbarkeit. Wir untersuchen die beweistheoretischen Grundlagen der Programmextraktion und erweitern den Beweisassistenten Minlog auf der Basis der erhaltenen theoretischen Resultate. Wenn eine Formel in Minlog formal bewiesen ist, läßt sich ein Programm aus dem Beweis extrahieren, und dieses extrahierte Programm kann in Minlog ausgeführt werden. Ferner sind extrahierte Programme beweisbar korrekt bezüglich der entsprechenden Formel aufgrund eines Korrektheitsatzes, den wir beweisen werden. Innerhalb unserer formalen Theorie bearbeiten wir einige aus der Literatur bekannte Fallstudien im Bereich der exakten reellen Arithmetik. Wir entwickeln eine vollständige Formalisierung der entsprechenden Beweise und diskutieren die in Minlog automatisch extrahierten Programme

Enhanced Realizability Interpretation for Program Extraction

This thesis presents Intuitionistic Fixed Point Logic (IFP), a schema for formal systems aimed to work with program extraction from proofs. IFP in its basic form allows proof construction based on natural deduction inference rules, extended by induction and coinduction. The corresponding system RIFP (IFP with realiz-ers) enables transforming logical proofs into programs utilizing the enhanced re-alizability interpretation. The theoretical research is put into practice in PRAWF1, a Haskell-based proof assistant for program extraction

Intuitionistic Fixed Point Logic

We study the system IFP of intuitionistic fixed point logic, an extension of intuitionistic first-order logic by strictly positive inductive and coinductive definitions. We define a realizability interpretation of IFP and use it to extract computational content from proofs about abstract structures specified by arbitrary classically true disjunction free formulas. The interpretation is shown to be sound with respect to a domain-theoretic denotational semantics and a corresponding lazy operational semantics of a functional language for extracted programs. We also show how extracted programs can be translated into Haskell. As an application we extract a program converting the signed digit representation of real numbers to infinite Gray-code from a proof of inclusion of the corresponding coinductive predicates.Comment: 65 page

Extracting total Amb programs from proofs

We present a logical system CFP (Concurrent Fixed Point Logic) supporting the extraction of nondeterministic and concurrent programs that are provably total and correct. CFP is an intuitionistic first-order logic with inductive and coinductive definitions extended by two propositional operators: Rrestriction, a strengthening of implication, and an operator for total concurrency. The source of the extraction are formal CFP proofs, the target is a lambda calculus with constructors and recursion extended by a constructor Amb (for McCarthy's amb) which is interpreted operationally as globally angelic choice and is used to implement nondeterminism and concurrency. The correctness of extracted programs is proven via an intermediate domain-theoretic denotational semantics. We demonstrate the usefulness of our system by extracting a nondeterministic program that translates infinite Gray code into the signed digit representation. A noteworthy feature of CFP is the fact that the proof rules for restriction and concurrency involve variants of the classical law of excluded middle that would not be interpretable computationally without Amb.Comment: 39 pages + 4 pages appendix. arXiv admin note: text overlap with arXiv:2104.1466