English
Related papers

Related papers: Reverse Fa\`a di Bruno's Formula for Cartesian Rev…

200 papers

The multidimensional chain rule formula for analytic functions and its generalisation to higher derivatives perfectly work in the algebraic setting in characteristic zero. In positive characteristic one runs into problems due to…

Commutative Algebra · Mathematics 2020-08-18 Andreas Maurischat

In this article, we introduce a new general definition of fractional derivative and fractional integral, which depends on an unknown kernel. By using these definitions, we obtain the basic properties of fractional integral and fractional…

General Mathematics · Mathematics 2017-12-27 Abdullah Akkurt , M. Esra Yildirim , Hüseyin Yildirim

A natural consequence of the fractional calculus is its extension to a matrix order of differentiation and integration. A matrix-order derivative definition and a matrix-order integration arise from the generalization of the gamma function…

General Mathematics · Mathematics 2020-05-04 C. B. da Porciuncula

We develop a categorical framework for reasoning about abstract properties of differentiation, based on the theory of fibrations. Our work encompasses the first-order fragments of several existing categorical structures for differentiation,…

Category Theory · Mathematics 2024-09-10 Matteo Capucci , Geoffrey S. H. Cruttwell , Neil Ghani , Fabio Zanasi

Previous work has shown that reverse differential categories give an abstract setting for gradient-based learning of functions between Euclidean spaces. However, reverse differential categories are not suited to handle gradient-based…

Category Theory · Mathematics 2023-11-27 Geoffrey Cruttwell , Jean-Simon Pacaud Lemay

It is well-known that the coefficients in Faa di Bruno's chain rule for higher derivatives can be expressed via numeration of partitions. It turns out that this has a natural form as a formula for the vector case. To this formula two proofs…

General Mathematics · Mathematics 2007-05-23 Eliahu Levy

Bayes' rule tells us how to invert a causal process in order to update our beliefs in light of new evidence. If the process is believed to have a complex compositional structure, we may observe that the inversion of the whole can be…

Category Theory · Mathematics 2023-07-21 Dylan Braithwaite , Jules Hedges , Toby St Clere Smithe

Many modern numerical methods in computational science and engineering rely on derivatives of mathematical models for the phenomena under investigation. The computation of these derivatives often represents the bottleneck in terms of…

Computational Complexity · Computer Science 2021-10-27 Uwe Naumann

Cartesian difference categories are a recent generalisation of Cartesian differential categories which introduce a notion of "infinitesimal" arrows satisfying an analogue of the Kock-Lawvere axiom, with the axioms of a Cartesian…

Logic in Computer Science · Computer Science 2020-12-01 Mario Alvarez-Picallo , C. -H. Luke Ong

In this paper the inverse problem of determining the fractional orders in mixed-type equations is considered. In one part of the domain the considered equation is the subdiffusion equation with a fractional derivative in the sense of…

Analysis of PDEs · Mathematics 2024-06-03 R. R. Ashurov , R. T. Zunnunov

A chain rule for power product is studied with fractional differential operators in the framework of Sobolev spaces. The fractional differential operators are defined by the Fourier multipliers. The chain rule is considered newly in the…

Functional Analysis · Mathematics 2021-04-13 Kazumasa Fujiwara

The fractional Leibniz rule is generalized by the Coifman-Meyer estimate. It is shown that the arbitrary redistribution of fractional derivatives for higher order with the corresponding correction terms.

Analysis of PDEs · Mathematics 2019-01-01 Kazumasa Fujiwara , Vladimir Georgiev , Tohru Ozawa

Fractional derivatives are generalization to classical integer-order derivatives. The rules which are true for classical derivative need not hold for the fractional derivatives, for example, we cannot simply add the fractional orders…

Dynamical Systems · Mathematics 2022-08-29 Sachin Bhalekar , Madhuri Patil

In this paper, we consider abelian functor calculus, the calculus of functors of abelian categories established by the second author and McCarthy. We carefully construct a category of abelian categories and suitably homotopically defined…

Algebraic Topology · Mathematics 2017-06-01 Kristine Bauer , Brenda Johnson , Christina Osborne , Emily Riehl , Amelia Tebbe

The more then hundred years old Bernstein inequality states that the supremum norm of the derivative of a trigonometric polynomial of fixed degree can be bounded from above by supremum norm of the polynomial itself. The reversed Bernstein…

Classical Analysis and ODEs · Mathematics 2023-03-09 Parvaneh Joharinad , Jürgen Jost , Sunhyuk Lim , Rostislav Matveev

We revisit the definition of Cartesian differential categories, showing that a slightly more general version is useful for a number of reasons. As one application, we show that these general differential categories are comonadic over…

Category Theory · Mathematics 2015-04-22 G. S. H. Cruttwell

We consider fractional differential equations of order $\alpha \in (0,1)$ for functions of one independent variable $t\in (0,\infty)$ with the Riemann-Liouville and Caputo-Dzhrbashyan fractional derivatives. A precise estimate for the order…

Classical Analysis and ODEs · Mathematics 2008-11-22 Anatoly N. Kochubei

The Riemann-Liouville formula for fractional derivatives and integrals (differintegration) is used to derive formulae for matrix order derivatives and integrals. That is, the parameter for integration and differentiation is allowed to…

Mathematical Physics · Physics 2007-05-23 Mark Naber

Cai et al. have recently proposed change structures as a semantic framework for incremental computation. We generalise change structures to arbitrary cartesian categories and propose the notion of change action model as a categorical model…

Logic in Computer Science · Computer Science 2020-07-23 Mario Alvarez-Picallo , C. -H. Luke Ong

Modern algorithms for binary classification rely on an intermediate regression problem for computational tractability. In this paper, we establish a geometric distinction between classification and regression that allows risk in these two…

Machine Learning · Statistics 2022-05-19 Suhas Vijaykumar , Claire Lazar Reich