scholarly journals The Formalization of Discrete Fourier Transform in HOL

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Zhiping Shi ◽  
Yupeng Zhang ◽  
Yong Guan ◽  
Liming Li ◽  
Jie Zhang
Keyword(s):  
Fourier Transform ◽  
Discrete Fourier Transform ◽  
Order Logic ◽  
Theorem Prover ◽  
Formal Definition ◽  
Accurate Analysis ◽  
Higher Order Logic ◽  
Safety Critical ◽  
Fundamental Properties ◽  
Definition Of

Traditionally, Discrete Fourier Transform (DFT) is performed with numerical or symbolic computation, which cannot guarantee 100% accurate analysis which may be necessary for safety-critical applications. Machine theorem proving is one of the formal methods that perform accurate analysis with completeness to some extent. This paper proposes the formalization of DFT in a higher-order logic theorem prover named HOL. We propose the formal definition of DFT and verify the fundamental properties of DFT. Two case studies are presented to illustrate usefulness and correctness of the formalized DFT, including formal verifications of Fast Fourier Transform (FFT) and cosine frequency shift.

scholarly journals Logical Combinatorialism

2020 ◽  
Vol 129 (4) ◽  
pp. 537-589
Author(s):  
Andrew Bacon
Keyword(s):  
General Theory ◽  
Fundamental Property ◽  
Logical Truth ◽  
Higher Order ◽  
Order Logic ◽  
Higher Order Logic ◽  
Fundamental Properties ◽  
Logical Operations ◽  
The World

In explaining the notion of a fundamental property or relation, metaphysicians will often draw an analogy with languages. The fundamental properties and relations stand to reality as the primitive predicates and relations stand to a language: the smallest set of vocabulary God would need in order to write the “book of the world.” This paper attempts to make good on this metaphor. To that end, a modality is introduced that, put informally, stands to propositions as logical truth stands to sentences. The resulting theory, formulated in higher-order logic, also vindicates the Humean idea that fundamental properties and relations are freely recombinable and a variant of the structural idea that propositions can be decomposed into their fundamental constituents via logical operations. Indeed, it is seen that, although these ideas are seemingly distinct, they are not independent, and fall out of a natural and general theory about the granularity of reality.

scholarly journals Making Higher-Order Superposition Work

2021 ◽  
pp. 415-432
Author(s):  
Petar Vukmirović ◽  
Alexander Bentkamp ◽  
Jasmin Blanchette ◽  
Simon Cruanes ◽  
Visa Nummelin ◽  
...  
Keyword(s):  
Higher Order ◽  
Order Logic ◽  
Theorem Prover ◽  
First Order Logic ◽  
Inference Rules ◽  
Higher Order Logic ◽  
First Order ◽  
New Challenges

AbstractSuperposition is among the most successful calculi for first-order logic. Its extension to higher-order logic introduces new challenges such as infinitely branching inference rules, new possibilities such as reasoning about formulas, and the need to curb the explosion of specific higher-order rules. We describe techniques that address these issues and extensively evaluate their implementation in the Zipperposition theorem prover. Largely thanks to their use, Zipperposition won the higher-order division of the CASC-J10 competition.

scholarly journals Isabelle’s Metalogic: Formalization and Proof Checker

2021 ◽  
pp. 93-110
Author(s):  
Tobias Nipkow ◽  
Simon Roßkopf
Keyword(s):  
Higher Order ◽  
Order Logic ◽  
Theorem Prover ◽  
Higher Order Logic ◽  
Proof Checker ◽  
Proof Terms

AbstractIsabelle is a generic theorem prover with a fragment of higher-order logic as a metalogic for defining object logics. Isabelle also provides proof terms. We formalize this metalogic and the language of proof terms in Isabelle/HOL, define an executable (but inefficient) proof term checker and prove its correctness w.r.t. the metalogic. We integrate the proof checker with Isabelle and run it on a range of logics and theories to check the correctness of all the proofs in those theories.

Probabilistic Analysis Using Theorem Proving

2015 ◽  
pp. 21-28
Keyword(s):  
Model Checking ◽  
Theorem Proving ◽  
Probabilistic Analysis ◽  
Probabilistic Model ◽  
Higher Order ◽  
Order Logic ◽  
Theorem Prover ◽  
Probabilistic Model Checking ◽  
Higher Order Logic ◽  
Comprehensive Framework

In this chapter, the authors first provide the overall methodology for the theorem proving formal probabilistic analysis followed by a brief introduction to the HOL4 theorem prover. The main focus of this book is to provide a comprehensive framework for formal probabilistic analysis as an alternative to less accurate techniques like simulation and paper-and-pencil methods and to other less scalable techniques like probabilistic model checking. For this purpose, the HOL4 theorem prover, which is a widely used higher-order-logic theorem prover, is used. The main reasons for this choice include the availability of foundational probabilistic analysis formalizations in HOL4 along with a very comprehensive support for real and set theoretic reasoning.

HOLCF = HOL + LCF

1999 ◽  
Vol 9 (2) ◽  
pp. 191-223 ◽  
Author(s):  
OLAF MÜLLER ◽  
TOBIAS NIPKOW ◽  
DAVID VON OHEIMB ◽  
OSCAR SLOTOSCH
Keyword(s):  
Functional Programming ◽  
Denotational Semantics ◽  
Order Logic ◽  
Domain Theory ◽  
Theorem Prover ◽  
Higher Order Logic ◽  
Computable Functions ◽  
Recursive Domain Equations ◽  
Standard Domain ◽  
Definitional Extension

HOLCF is the definitional extension of Church's Higher-Order Logic with Scott's Logic for Computable Functions that has been implemented in the theorem prover Isabelle. This results in a flexible setup for reasoning about functional programs. HOLCF supports standard domain theory (in particular fixpoint reasoning and recursive domain equations), but also coinductive arguments about lazy datatypes. This paper describes in detail how domain theory is embedded in HOL, and presents applications from functional programming, concurrency and denotational semantics.

scholarly journals Leo-III Version 1.1 (System description)

10.29007/grmx ◽  
2018 ◽  
Author(s):  
Christoph Benzmüller ◽  
Alexander Steen ◽  
Max Wisniewski
Keyword(s):  
Higher Order ◽  
Order Logic ◽  
Theorem Prover ◽  
Higher Order Logic ◽  
System Description ◽  
Agent Based ◽  
First Order ◽  
Theorem Provers ◽  
Automated Theorem Prover ◽  
Ordering Constraints

Leo-III is an automated theorem prover for (polymorphic) higher-order logic which supports all common TPTP dialects, including THF, TFF and FOF as well as their rank-1 polymorphic derivatives. It is based on a paramodulation calculus with ordering constraints and, in tradition of its predecessor LEO-II, heavily relies on cooperation with external first-order theorem provers.Unlike LEO-II, asynchronous cooperation with typed first-order provers and an agent-based internal cooperation scheme is supported. In this paper, we sketch Leo-III's underlying calculus, survey implementation details and give examples of use.

scholarly journals Identity, Equality, Nameability and Completeness

2017 ◽  
Vol 46 (3/4) ◽  
Author(s):  
María Manzano ◽  
Manuel Crescencio Moreno
Keyword(s):  
Binary Relation ◽  
Order Logic ◽  
The Other ◽  
Higher Order Logic ◽  
First Case ◽  
General Semantics ◽  
Relevant Role ◽  
Definition Of ◽  
Relationship Of ◽  
The Relationship

This article is an extended promenade strolling along the winding roads of identity, equality, nameability and completeness, looking for places where they converge. We have distinguished between identity and equality; the first is a binary relation between objects while the second is a symbolic relation between terms. Owing to the central role the notion of identity plays in logic, you can be interested either in how to define it using other logical concepts or in the opposite scheme. In the first case, one investigates what kind of logic is required. In the second case, one is interested in the definition of the other logical concepts (connectives and quantifiers) in terms of the identity relation, using also abstraction. The present paper investigates whether identity can be introduced by definition arriving to the conclusion that only in full higher-order logic a reliable definition of identity is possible. However, the definition needs the standard semantics and we know that with this semantics completeness is lost. We have also studied the relationship of equality with comprehension and extensionality and pointed out the relevant role played by these two axioms in Henkin’s completeness method. We finish our paper with a section devoted to general semantics, where the role played by the nameable hierarchy of types is the key in Henkin’s completeness method.

Reliability Theory

2015 ◽  
pp. 179-207
Keyword(s):  
Distribution Function ◽  
Survival Function ◽  
Reliability Theory ◽  
Order Logic ◽  
Theorem Prover ◽  
Cumulative Distribution ◽  
Engineering Systems ◽  
Higher Order Logic ◽  
Reliability Block Diagrams ◽  
Basic Concepts

In this chapter, some basic concepts of reliability theory, namely cumulative distribution function, survival function and hazard function, and reliability block diagrams, are described and their higher-order-logic formalization is presented. Some of the important properties of these reliability concepts are formally verified using the HOL4 theorem prover to facilitate reasoning about reliability of engineering systems.

scholarly journals Formal verification of Matrix based MATLAB models using interactive theorem proving

2021 ◽  
Vol 7 ◽  
pp. e440
Author(s):  
Ayesha Gauhar ◽  
Adnan Rashid ◽  
Osman Hasan ◽  
João Bispo ◽  
João M.P. Cardoso
Keyword(s):  
Formal Verification ◽  
Finite Impulse Response ◽  
Formal Analysis ◽  
Digital Signal ◽  
Interactive Theorem Proving ◽  
Higher Order ◽  
Order Logic ◽  
Theorem Prover ◽  
Formal Models ◽  
Higher Order Logic

MATLAB is a software based analysis environment that supports a high-level programing language and is widely used to model and analyze systems in various domains of engineering and sciences. Traditionally, the analysis of MATLAB models is done using simulation and debugging/testing frameworks. These methods provide limited coverage due to their inherent incompleteness. Formal verification can overcome these limitations, but developing the formal models of the underlying MATLAB models is a very challenging and time-consuming task, especially in the case of higher-order-logic models. To facilitate this process, we present a library of higher-order-logic functions corresponding to the commonly used matrix functions of MATLAB as well as a translator that allows automatic conversion of MATLAB models to higher-order logic. The formal models can then be formally verified in an interactive theorem prover. For illustrating the usefulness of the proposed library and approach, we present the formal analysis of a Finite Impulse Response (FIR) filter, which is quite commonly used in digital signal processing applications, within the sound core of the HOL Light theorem prover.

Sign in / Sign up

Export Citation Format

Share Document