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Related papers: Higher order differential calculus in mathlib

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This paper describes mathlib, a community-driven effort to build a unified library of mathematics formalized in the Lean proof assistant. Among proof assistant libraries, it is distinguished by its dependently typed foundations, focus on…

Logic in Computer Science · Computer Science 2020-01-28 The mathlib Community

The Lean mathematical library mathlib is developed by a community of users with very different backgrounds and levels of experience. To lower the barrier of entry for contributors and to lessen the burden of reviewing contributions, we have…

Programming Languages · Computer Science 2020-07-28 Floris van Doorn , Gabriel Ebner , Robert Y. Lewis

Scalar actions are ubiquitous in mathematics, and therefore it is valuable to be able to write them succinctly when formalizing. In this paper we explore how Lean 3's typeclasses are used by mathlib for scalar actions with examples,…

Logic in Computer Science · Computer Science 2023-06-05 Eric Wieser

The Lean mathematical library Mathlib is one of the fastest-growing libraries of formalised mathematics. We describe various strategies to manage this growth, while allowing for change and avoiding maintainer overload. This includes dealing…

Programming Languages · Computer Science 2025-10-08 Anne Baanen , Matthew Robert Ballard , Johan Commelin , Bryan Gin-ge Chen , Michael Rothgang , Damiano Testa

This article is about the formalization of synthetic differential geometry with the Lean proof assistant and the mathematical library mathlib. The main result we prove and formalize is a Taylor theorem for functions of several variables,…

Logic in Computer Science · Computer Science 2026-04-01 Riccardo Brasca , Gabriella Clemente

We report on a formalization of the change of variables formula in integrals, in the mathlib library for Lean. Our version of this theorem is extremely general, and builds on developments in linear algebra, analysis, measure theory and…

Logic in Computer Science · Computer Science 2022-07-27 Sébastien Gouëzel

Codifying mathematical theories in a proof assistant or computer algebra system is a challenging task, of which the most difficult part is, counterintuitively, structuring definitions. This results in a steep learning curve for new users…

Symbolic Computation · Computer Science 2025-11-19 Alena Gusakov , Peter Nelson , Stephen Watt

We report on our experience formalizing differential geometry with mathlib, the Lean mathematical library. Our account is geared towards geometers with no knowledge of type theory, but eager to learn more about the formalization of…

Logic in Computer Science · Computer Science 2021-08-03 Anthony Bordg , Nicolò Cavalleri

Models on logarithmic lattices have recently been proposed as an alternative approach to the study of multi-scale nonlinear physics. Here, we introduce LogLatt, an efficient MATLAB library for the calculus between functions on…

Computational Physics · Physics 2022-05-18 Ciro S. Campolina

This document introduces a generalization of calculus that treats both continuous and discrete variables on an equal footing. This generalization of calculus was developed independently of the "Calculus on Time Scales" literature but may be…

Classical Analysis and ODEs · Mathematics 2013-02-26 Jay Kaminsky

Lie algebras are an important class of algebras which arise throughout mathematics and physics. We report on the formalisation of Lie algebras in Lean's Mathlib library. Although basic knowledge of Lie theory will benefit the reader, none…

Logic in Computer Science · Computer Science 2021-12-10 Oliver Nash

The continuous functional calculus is perhaps the most fundamental construction in the theory of operator algebras, especially $C^{*}$-algebras. Here we document our formalization of the continuous functional calculus in Lean, which…

Operator Algebras · Mathematics 2025-01-28 Anatole Dedecker , Jireh Loreaux

SOL is an open-source library for scalable online learning algorithms, and is particularly suitable for learning with high-dimensional data. The library provides a family of regular and sparse online learning algorithms for large-scale…

Machine Learning · Computer Science 2016-10-31 Yue Wu , Steven C. H. Hoi , Chenghao Liu , Jing Lu , Doyen Sahoo , Nenghai Yu

We give several applications of the thick distributional calculus. We consider homogeneous distributions, point source fields, and higher order derivatives of order $0.$

Mathematical Physics · Physics 2014-02-11 Yunyun Yang , Ricardo Estrada

We show how categorial deduction can be implemented in higher-order (linear) logic programming, thereby realising parsing as deduction for the associative and non-associative Lambek calculi. This provides a method of solution to the parsing…

cmp-lg · Computer Science 2016-08-31 Glyn Morrill

Scientific studies often require the precise calculation of derivatives. In many cases an analytical calculation is not feasible and one resorts to evaluating derivatives numerically. These are error-prone, especially for higher-order…

High Energy Physics - Phenomenology · Physics 2010-05-28 Mathias Wagner , Andrea Walther , Bernd-Jochen Schaefer

We give a rigorous formulation of the intuitive idea that a differentiable map should be thesame thing as a locally, or infinitesimally, linear map: just as a linear map respects the operations of addition and multiplication by scalars ina…

Category Theory · Mathematics 2015-07-24 Wolfgang Bertram

This course, intended for undergraduates familiar with elementary calculus and linear algebra, introduces the extension of differential calculus to functions on more general vector spaces, such as functions that take as input a matrix and…

History and Overview · Mathematics 2025-01-28 Paige Bright , Alan Edelman , Steven G. Johnson

Linearisability is a central notion for verifying concurrent libraries: a given library is proven safe if its operational history can be rearranged into a new sequential one which, in addition, satisfies a given specification.…

Programming Languages · Computer Science 2016-10-26 Andrzej S. Murawski , Nikos Tzevelekos

Higher order derivatives of functions are structured high dimensional objects which lend themselves to many alternative representations, with the most popular being multi-index, matrix and tensor representations. The choice between them…

Classical Analysis and ODEs · Mathematics 2021-12-01 José E. Chacón , Tarn Duong
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