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In a series of recent scientific contributions the role of bosonic and fermionic ladder operators in a macroscopic realm has been investigated. Creation, annihilation and number operators have been used in very different contexts, all…

Mathematical Physics · Physics 2024-11-06 Fabio Bagarello

Assume that f is a strict convex function with a unique minimum in R^n. We divide the vector of n-variables to d groups of vector subvariables with d at least two. We assume that we can find the partial minimum of f with respect to each…

Optimization and Control · Mathematics 2019-06-06 Shmuel Friedland

A folklore result in category theory is that a (weakly) Cartesian closed category with finite co-products is distributive. Usually, the proof of this small result is carried on using the fact that the exponential functor is right adjoint to…

Category Theory · Mathematics 2014-06-16 Marco Benini

The functional linear model is an important extension of the classical regression model allowing for scalar responses to be modeled as functions of stochastic processes. Yet, despite the usefulness and popularity of the functional linear…

Methodology · Statistics 2025-11-27 Ioannis Kalogridis , Stanislav Nagy

Several notions of "analytic" functor introduced recently in the literature fit into the graphic fourier transform context presented in [D].

Category Theory · Mathematics 2010-04-27 Brian J. Day

We show how to get explicit induction formulae for finite group representations, and more generally for rational Green functors, by summing a divergent series over Dwyer's subgroup and centralizer decomposition spaces. This results in…

Group Theory · Mathematics 2019-03-18 Cihan Bahran

In this paper, we will extend the falling and rising factorial transforms \cite{ref. 1} which in this case every arbitrary function can be applied. Then, the properties of these transforms will be investigated and some corollaries will be…

Classical Analysis and ODEs · Mathematics 2023-12-19 Parham Zarghami

We provide sharp and explicit characterizations of the normal cone to sublevel sets of suprema of arbitrary functions, expressed exclusively in terms of subdifferentials of the data functions. In the convex case, the resulting formulas…

Optimization and Control · Mathematics 2026-02-12 Stephanie Caro , Rafael Correa , Abderrahim Hantoute

We introduce the notion of structural derivative on time scales. The new operator of differentiation unifies the concepts of fractal and fractional order derivative and is motivated by lack of classical differentiability of some…

Classical Analysis and ODEs · Mathematics 2019-01-23 Benaoumeur Bayour , Delfim F. M. Torres

Function regression/approximation is a fundamental application of machine learning. Neural networks (NNs) can be easily trained for function regression using a sufficient number of neurons and epochs. The forward-forward learning algorithm…

Machine Learning · Computer Science 2025-10-16 Shivam Padmani , Akshay Joshi

By using the theory of first-order differential subordination for functions with fixed initial coefficient, several well-known results for subclasses of univalent functions are improved by restricting the functions to have fixed second…

Complex Variables · Mathematics 2012-08-02 Sumit Nagpal , V. Ravichandran

We propose a notion of operator monotonicity for functions of several variables, which extends the well known notion of operator monotonicity for functions of only one variable. The notion is chosen such that a fundamental relationship…

Operator Algebras · Mathematics 2007-05-23 Frank Hansen

We represent fractional conditional expectations of a functional of fractional Brownian motion as a convergent series in L^2 space. When the target random variable is some function of a discrete trajectory of fractional Brownian motion, we…

Probability · Mathematics 2015-08-17 Sixian Jin , Qidi Peng , Henry Schellhorn

Often machine learning and statistical models will attempt to describe the majority of the data. However, there may be situations where only a fraction of the data can be fit well by a linear regression model. Here, we are interested in a…

Machine Learning · Computer Science 2021-11-16 Brendan Juba , Leda Liang

We investigate fundamental properties of adjoint functors to the precomposition functor in the category of strict polynomial functors.

K-Theory and Homology · Mathematics 2014-11-11 Marcin Chałupnik

The simplicial extension of any functor from Sets to Sets which commutes with directed colimits takes weak equivalences to weak equivalences. The goal of the present paper is construct a framework which can be used to proof results of this…

Algebraic Geometry · Mathematics 2009-09-28 Vladimir Voevodsky

While attention has been empirically shown to improve model performance, it lacks a rigorous mathematical justification. This short paper establishes a novel connection between attention mechanisms and multinomial regression. Specifically,…

Machine Learning · Computer Science 2025-10-28 Jonas A. Actor , Anthony Gruber , Eric C. Cyr

We study polynomial comonads and polynomial bicomodules. Polynomial comonads amount to categories. Polynomial bicomodules between categories amount to parametric right adjoint functors between corresponding copresheaf categories. These may…

Category Theory · Mathematics 2026-05-25 David I. Spivak , Richard Garner , Aaron David Fairbanks

The relationship between the operator norms of fractional integral operators acting on weighted Lebesgue spaces and the constant of the weights is investigated. Sharp boundsare obtained for both the fractional integral operators and the…

Classical Analysis and ODEs · Mathematics 2012-05-08 Michael Lacey , Kabe Moen , Carlos Perez , Rodolfo H. Torres

For any algebra morphism in a monoidal category, we provide sufficient conditions (which are also necessary if the unit is a left tensor generator) for the attached induction functor being semiseparable. Under mild assumptions, we prove…

Category Theory · Mathematics 2026-02-04 Lucrezia Bottegoni , Zhenbang Zuo