Pragmatic Quotient Types in Coq
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Pragmatic Quotient Types in Coq Cyril Cohen
Pragmatic Quotient Types in Coq Cyril Cohen To cite this version: Cyril Cohen. Pragmatic Quotient Types in Coq. International Conference on Interactive Theorem Proving, Jul 2013, Rennes, France. pp.16. hal-01966714 HAL Id: hal-01966714 https://hal.inria.fr/hal-01966714 Submitted on 29 Dec 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Pragmatic Quotient Types in Coq Cyril Cohen Department of Computer Science and Engineering University of Gothenburg [email protected] Abstract. In intensional type theory, it is not always possible to form the quotient of a type by an equivalence relation. However, quotients are extremely useful when formalizing mathematics, especially in algebra. We provide a Coq library with a pragmatic approach in two complemen- tary components. First, we provide a framework to work with quotient types in an axiomatic manner. Second, we program construction mecha- nisms for some specific cases where it is possible to build a quotient type. This library was helpful in implementing the types of rational fractions, multivariate polynomials, field extensions and real algebraic numbers. Keywords: Quotient types, Formalization of mathematics, Coq Introduction In set-based mathematics, given some base set S and an equivalence ≡, one may see the quotient (S/ ≡) as the partition {π(x) | x ∈ S} of S into the sets π(x) ˆ= {y ∈ S | x ≡ y}, which are called equivalence classes. -
Experience Implementing a Performant Category-Theory Library in Coq
Experience Implementing a Performant Category-Theory Library in Coq Jason Gross, Adam Chlipala, and David I. Spivak Massachusetts Institute of Technology, Cambridge, MA, USA [email protected], [email protected], [email protected] Abstract. We describe our experience implementing a broad category- theory library in Coq. Category theory and computational performance are not usually mentioned in the same breath, but we have needed sub- stantial engineering effort to teach Coq to cope with large categorical constructions without slowing proof script processing unacceptably. In this paper, we share the lessons we have learned about how to repre- sent very abstract mathematical objects and arguments in Coq and how future proof assistants might be designed to better support such rea- soning. One particular encoding trick to which we draw attention al- lows category-theoretic arguments involving duality to be internalized in Coq's logic with definitional equality. Ours may be the largest Coq development to date that uses the relatively new Coq version developed by homotopy type theorists, and we reflect on which new features were especially helpful. Keywords: Coq · category theory · homotopy type theory · duality · performance 1 Introduction Category theory [36] is a popular all-encompassing mathematical formalism that casts familiar mathematical ideas from many domains in terms of a few unifying concepts. A category can be described as a directed graph plus algebraic laws stating equivalences between paths through the graph. Because of this spar- tan philosophical grounding, category theory is sometimes referred to in good humor as \formal abstract nonsense." Certainly the popular perception of cat- egory theory is quite far from pragmatic issues of implementation. -
Testing Noninterference, Quickly
Testing Noninterference, Quickly Cat˘ alin˘ Hrit¸cu1 John Hughes2 Benjamin C. Pierce1 Antal Spector-Zabusky1 Dimitrios Vytiniotis3 Arthur Azevedo de Amorim1 Leonidas Lampropoulos1 1University of Pennsylvania 2Chalmers University 3Microsoft Research Abstract To answer this question, we take as a case study the task of Information-flow control mechanisms are difficult to design and extending a simple abstract stack-and-pointer machine to track dy- labor intensive to prove correct. To reduce the time wasted on namic information flow and enforce termination-insensitive nonin- proof attempts doomed to fail due to broken definitions, we ad- terference [23]. Although our machine is simple, this exercise is vocate modern random testing techniques for finding counterexam- both nontrivial and novel. While simpler notions of dynamic taint ples during the design process. We show how to use QuickCheck, tracking are well studied for both high- and low-level languages, a property-based random-testing tool, to guide the design of a sim- it has only recently been shown [1, 24] that dynamic checks are ple information-flow abstract machine. We find that both sophis- capable of soundly enforcing strong security properties. Moreover, ticated strategies for generating well-distributed random programs sound dynamic IFC has been studied only in the context of lambda- and readily falsifiable formulations of noninterference properties calculi [1, 16, 25] and While programs [24]; the unstructured con- are critically important. We propose several approaches and eval- trol flow of a low-level machine poses additional challenges. (Test- uate their effectiveness on a collection of injected bugs of varying ing of static IFC mechanisms is left as future work.) subtlety. -
An Anti-Locally-Nameless Approach to Formalizing Quantifiers Olivier Laurent
An Anti-Locally-Nameless Approach to Formalizing Quantifiers Olivier Laurent To cite this version: Olivier Laurent. An Anti-Locally-Nameless Approach to Formalizing Quantifiers. Certified Programs and Proofs, Jan 2021, virtual, Denmark. pp.300-312, 10.1145/3437992.3439926. hal-03096253 HAL Id: hal-03096253 https://hal.archives-ouvertes.fr/hal-03096253 Submitted on 4 Jan 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. An Anti-Locally-Nameless Approach to Formalizing Quantifiers Olivier Laurent Univ Lyon, EnsL, UCBL, CNRS, LIP LYON, France [email protected] Abstract all cases have been covered. This works perfectly well for We investigate the possibility of formalizing quantifiers in various propositional systems, but as soon as (first-order) proof theory while avoiding, as far as possible, the use of quantifiers enter the picture, we have to face one ofthe true binding structures, α-equivalence or variable renam- nightmares of formalization: quantifiers are binders... The ings. We propose a solution with two kinds of variables in question of the formalization of binders does not yet have an 1 terms and formulas, as originally done by Gentzen. In this answer which makes perfect consensus . -
Arithmetic in MIPS
6 Arithmetic in MIPS Objectives After completing this lab you will: • know how to do integer arithmetic in MIPS • know how to do floating point arithmetic in MIPS • know about conversion from integer to floating point and from floating point to integer. Introduction The definition of the R2000 architecture includes all integer arithmetic within the actual CPU. Floating point arithmetic is done by one of the four possible coprocessors, namely coprocessor number 1. Integer arithmetic Addition and subtraction are performed on 32 bit numbers held in the general purpose registers (32 bit each). The result is a 32 bit number itself. Two kinds of instructions are included in the instruction set to do integer addition and subtraction: • instructions for signed arithmetic: the 32 bit numbers are considered to be represented in 2’s comple- ment. The execution of the instruction (addition or subtraction) may generate an overflow. • instructions for unsigned arithmetic: the 32 bit numbers are considered to be in standard binary repre- sentation. Executing the instruction will never generate an overflow error even if there is an actual overflow (the result cannot be represented with 32 bits). Multiplication and division may generate results that are larger than 32 bits. The architecture provides two special 32 bit registers that are the destination for multiplication and division instructions. These registers are called hi and lo as to indicate that they hold the higher 32 bits of the result and the lower 32 bits respectively. Special instructions are also provided to move data from these registers into the general purpose ones ($0 to $31). -
Quotient Types: a Modular Approach
Quotient Types: A Modular Approach Aleksey Nogin Department of Computer Science Cornell University, Ithaca, NY 14853 [email protected] Abstract. In this paper we introduce a new approach to axiomatizing quotient types in type theory. We suggest replacing the existing mono- lithic rule set by a modular set of rules for a specially chosen set of primitive operations. This modular formalization of quotient types turns out to be much easier to use and free of many limitations of the tradi- tional monolithic formalization. To illustrate the advantages of the new approach, we show how the type of collections (that is known to be very hard to formalize using traditional quotient types) can be naturally for- malized using the new primitives. We also show how modularity allows us to reuse one of the new primitives to simplify and enhance the rules for the set types. 1 Introduction NuPRL type theory differs from most other type theories used in theorem provers in its treatment of equality. In Coq’s Calculus of Constructions, for example, there is a single global equality relation which is not the desired one for many types (e.g. function types). The desired equalities have to be handled explicitly, which is quite burdensome. As in Martin-L¨of type theory [20] (of which NuPRL type theory is an extension), in NuPRL each type comes with its own equality relation (the extensional one in the case of functions), and the typing rules guar- antee that well–typed terms respect these equalities. Semantically, a quotient in NuPRL is trivial to define: it is simply a type with a new equality. -
Towards a Proof-Irrelevant Calculus of Inductive Constructions Philipp Haselwarter
Towards a Proof-Irrelevant Calculus of Inductive Constructions Philipp Haselwarter To cite this version: Philipp Haselwarter. Towards a Proof-Irrelevant Calculus of Inductive Constructions. Programming Languages [cs.PL]. 2014. hal-01114573v2 HAL Id: hal-01114573 https://hal.inria.fr/hal-01114573v2 Submitted on 4 Mar 2016 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Towards a Proof-Irrelevant Calculus of Inductive Constructions Philipp Haselwarter under the supervision of Matthieu Sozeau, PPS and 휋푟2 2nd September 2014 Summary The general context Through the Curry-Howard correspondence, dependent type theories are ap- pealing to both the mathematical and the programming community. To the first, they provide an expressive logical framework, in which mathematics can be developed. To the second, they offer a functional programming lan- guage that allows to state precise invariants programs have to respect and to build certified proofs thereof. Several dependent type systems have been investigated and implemented, with some early ones geared more towards the mathematical community [Con+86; Pol94; Coq12], called proof-assistants, and later putting a stronger accent on their viability as a programming environment [McB99; Nor07; Soz08]. The Calculus of Inductive Constructions (pCIC) is one such theory that attempts to stay faithful to the correspondence and bridge the two worlds of programming and proving. -
Mathematics for Computer Scientists (G51MCS) Lecture Notes Autumn 2005
Mathematics for Computer Scientists (G51MCS) Lecture notes Autumn 2005 Thorsten Altenkirch October 26, 2005 Contents 1 1 Types and sets What is a set? Wikipedia 1 says Informally, a set is just a collection of objects considered as a whole. And what is a type? Wikipedia offers different definitions for different subject areas, but if we look up datatype in Computer Science we learn: In computer science, a datatype (often simply type) is a name or label for a set of values and some operations which can be performed on that set of values. Here the meaning of type refers back to the meaning of sets, but it is hard to see a substantial difference. We may conclude that what is called a set in Mathematics is called a type in Computer Science. Here, we will adopt the computer science terminology and use the term type. But remember to translate this to set when talking to a Mathematician. There is a good reason for this choice: I am going to use the type system of the programming language Haskell to illustrate many important constructions on types and to implement mathematical constructions on a computer. Please note that this course is not an introduction to Haskell, this is done in the 2nd semester in G51FUN. If you want to find out more about Haskell now, I refer to Graham Hutton’s excellent, forthcoming book, whose first seven chapters are available from his web page 2 . The book is going to be published soon and is the course text for G51FUN. Another good source for information about Haskell is the Haskell home page 3 While we are going to use Haskell to illustrate mathematical concepts, Haskell is also a very useful language for lots of other things, from designing user interfaces to controlling robots. -
Quotient Types — a Modular Approach *,**
Quotient Types — a Modular Approach ?;?? Aleksey Nogin Department of Computer Science Cornell University Ithaca, NY 14853 E-mail: [email protected] Web: http://nogin.org/ Abstract. In this paper we introduce a new approach to defining quo- tient types in type theory. We suggest replacing the existing monolithic rule set by a modular set of rules for a specially chosen set of primitive operations. This modular formalization of quotient types turns out to be very powerful and free of many limitations of the traditional monolithic formalization. To illustrate the advantages of the new formalization, we show how the type of collections (that is known to be very hard to formal- ize using traditional quotient types) can be naturally formalized using the new primitives. We also show how modularity allows us to reuse one of the new primitives to simplify and enhance the rules for the set types. 1 Introduction NuPRL type theory differs from most other type theories used in theorem provers in its treatment of equality. In Coq’s Calculus of Constructions, for example, there is a single global equality relation which is not the desired one for many types (e.g. function types). The desired equalities have to be handled explicitly, which is quite burdensome. As in Martin-L¨oftype theory [17] (of which NuPRL type theory is an extension), in NuPRL each type comes with its own equality relation (the extensional one in the case of functions), and the typing rules guar- antee that well–typed terms respect these equalities. Semantically, a quotient in NuPRL is trivial to define: it is simply a type with a new equality. -
Mathematics in the Computer
Mathematics in the Computer Mario Carneiro Carnegie Mellon University April 26, 2021 1 / 31 Who am I? I PhD student in Logic at CMU I Proof engineering since 2013 I Metamath (maintainer) I Lean 3 (maintainer) I Dabbled in Isabelle, HOL Light, Coq, Mizar I Metamath Zero (author) Github: digama0 I Proved 37 of Freek’s 100 theorems list in Zulip: Mario Carneiro Metamath I Lots of library code in set.mm and mathlib I Say hi at https://leanprover.zulipchat.com 2 / 31 I Found Metamath via a random internet search I they already formalized half of the book! I .! . and there is some stuff on cofinality they don’t have yet, maybe I can help I Got involved, did it as a hobby for a few years I Got a job as an android developer, kept on the hobby I Norm Megill suggested that I submit to a (Mizar) conference, it went well I Met Leo de Moura (Lean author) at a conference, he got me in touch with Jeremy Avigad (my current advisor) I Now I’m a PhD at CMU philosophy! How I got involved in formalization I Undergraduate at Ohio State University I Math, CS, Physics I Reading Takeuti & Zaring, Axiomatic Set Theory 3 / 31 I they already formalized half of the book! I .! . and there is some stuff on cofinality they don’t have yet, maybe I can help I Got involved, did it as a hobby for a few years I Got a job as an android developer, kept on the hobby I Norm Megill suggested that I submit to a (Mizar) conference, it went well I Met Leo de Moura (Lean author) at a conference, he got me in touch with Jeremy Avigad (my current advisor) I Now I’m a PhD at CMU philosophy! How I got involved in formalization I Undergraduate at Ohio State University I Math, CS, Physics I Reading Takeuti & Zaring, Axiomatic Set Theory I Found Metamath via a random internet search 3 / 31 I . -
Quotient Types
Quotient Types Peter V. Homeier U. S. Department of Defense, [email protected] http://www.cis.upenn.edu/~homeier Abstract. The quotient operation is a standard feature of set theory, where a set is divided into subsets by an equivalence relation; the re- sulting subsets of equivalent elements are called equivalence classes. We reinterpret this idea for Higher Order Logic (HOL), where types are di- vided by an equivalence relation to create new types, called quotient types. We present a tool for the Higher Order Logic theorem prover to mechanically construct quotient types as new types in the HOL logic, and also to de¯ne functions that map between the original type and the quotient type. Several properties of these mapping functions are proven automatically. Tools are also provided to create quotients of aggregate types, in particular lists, pairs, and sums. These require special atten- tion to preserve the aggregate structure across the quotient operation. We demonstrate these tools on an example from the sigma calculus. 1 Quotient Sets Quotient sets are a standard construction of set theory. They have found wide application in many areas of mathematics, including algebra and logic. The following description is abstracted from [3]. A binary relation on S is an equivalence relation if it is reflexive, symmetric, and transitive. » reflexive: x S: x x symmetric: 8x;2 y S: x » y y x transitive: 8x; y;2 z S: x » y ) y »z x z 8 2 » ^ » ) » Let be an equivalence relation. Then the equivalence class of x (modulo )is » » de¯ned as [x] def= y x y . -
Structured Formal Development with Quotient Types in Isabelle/HOL
Structured Formal Development with Quotient Types in Isabelle/HOL Maksym Bortin1 and Christoph Lüth2 1 Universität Bremen, Department of Mathematics and Computer Science [email protected] 2 Deutsches Forschungszentrum für Künstliche Intelligenz, Bremen [email protected] Abstract. General purpose theorem provers provide sophisticated proof methods, but lack some of the advanced structuring mechanisms found in specification languages. This paper builds on previous work extending the theorem prover Isabelle with such mechanisms. A way to build the quotient type over a given base type and an equivalence relation on it, and a generalised notion of folding over quotiented types is given as a formalised high-level step called a design tactic. The core of this paper are four axiomatic theories capturing the design tactic. The applicability is demonstrated by derivations of implementations for finite multisets and finite sets from lists in Isabelle. 1 Introduction Formal development of correct systems requires considerable design and proof effort in order to establish that an implementation meets the required specifi- cation. General purpose theorem provers provide powerful proof methods, but often lack the advanced structuring and design concepts found in specification languages, such as design tactics [20]. A design tactic represents formalised de- velopment knowledge. It is an abstract development pattern proven correct once and for all, saving proof effort when applying it and guiding the development process. If theorem provers can be extended with similar concepts without loss of consistency, the development process can be structured within the prover. This paper is a step in this direction. Building on previous work [2] where an approach to the extension of the theorem prover Isabelle [15] with theory morphisms has been described, the contributions of this paper are the representation of the well-known type quotienting construction and its extension with a generalised notion of folding over the quotiented type as a design tactic.