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We give the theorem of coincidence of a class of functions defined by a generalised modulus of smoothness with a class of functions defined by the order of the best approximation by algebraic polynomials. We also prove the appropriate…

Functional Analysis · Mathematics 2012-08-28 Faton M. Berisha

Our main aim is to investigate the approximation properties for the summation integral type operators in a statistical sense. In this regard, we prove the statistical convergence theorem using well known Korovkin theorem and the degree of…

Functional Analysis · Mathematics 2019-12-24 Rishikesh Yadav , Ramakanta Meher , Vishnu Narayan Mishra

We establish spectral convergence results of approximations of unbounded non-selfadjoint linear operators with compact resolvents by operators that converge in generalized strong resolvent sense. The aim is to establish general assumptions…

Spectral Theory · Mathematics 2016-04-27 Sabine Bögli

Coupled oscillators are being increasingly used as the basis of machine learning (ML) architectures, for instance in sequence modeling, graph representation learning and in physical neural networks that are used in analog ML devices. We…

Neural and Evolutionary Computing · Computer Science 2023-05-16 Samuel Lanthaler , T. Konstantin Rusch , Siddhartha Mishra

In this paper we give a unitary approach for the simultaneous study of the convergence of discrete and integral operators described by means of a family of linear continuous functionals acting on functions defined on locally compact…

Functional Analysis · Mathematics 2017-11-28 Gianluca Vinti , Luca Zampogni

We define a generalization of the Turing machine that computes on general sets. Our main theorem states that the class of generalized Turing machine computable functions and the class of Set Recursive functions coincide.

Logic · Mathematics 2021-03-26 Garvin Melles

We introduce a concept of a quasi proximate order which is a generalization of a proximate order and allows us to study efficiently analytic functions whose order and lower order of growth are different. We prove an existence theorem of a…

Complex Variables · Mathematics 2020-07-17 Igor Chyzhykov , Petro Filevych , Jouni Rättyä

We propose a testable universality hypothesis, asserting that seemingly disparate neural network solutions observed in the simple task of modular addition are unified under a common abstract algorithm. While prior work interpreted…

Machine Learning · Computer Science 2025-05-27 Gavin McCracken , Gabriela Moisescu-Pareja , Vincent Letourneau , Doina Precup , Jonathan Love

In this largely expository paper, we will present a list of En -operads and give complete, and in some cases new, proofs of the equivalences between these operads.

Algebraic Topology · Mathematics 2023-10-13 André Beuckelmann , Ieke Moerdijk

The universal approximation theorem, in one of its most general versions, says that if we consider only continuous activation functions $\sigma$, then a standard feedforward neural network with one hidden layer is able to approximate any…

Machine Learning · Computer Science 2020-02-18 Kai Fong Ernest Chong

We study feedforward neural networks with inputs from a topological space (TFNNs). We prove a universal approximation theorem for shallow TFNNs, which demonstrates their capacity to approximate any continuous function defined on this…

Machine Learning · Computer Science 2026-01-23 Vugar Ismailov

We study non-trivial translation-invariant probability measures on the space of entire functions of one complex variable. The existence (and even an abundance) of such measures was proven by Benjamin Weiss. Answering Weiss question, we find…

Complex Variables · Mathematics 2017-03-24 Lev Buhovsky , Adi Glucksam , Alexander Logunov , Mikhail Sodin

We establish a universal approximation theorem for signatures of rough paths that are not necessarily weakly geometric. By extending the path with time and its rough path bracket terms, we prove that linear functionals of the signature of…

Probability · Mathematics 2026-02-06 Mihriban Ceylan , Anna P. Kwossek , David J. Prömel

We generalize the classical universal approximation theorem for neural networks to the case of complex-valued neural networks. Precisely, we consider feedforward networks with a complex activation function $\sigma : \mathbb{C} \to…

Functional Analysis · Mathematics 2022-12-13 Felix Voigtlaender

We study approximation of functions by algebraic polynomials in the H\"older spaces corresponding to the generalized Jacobi translation and the Ditzian-Totik moduli of smoothness. By using modifications of the classical moduli of…

Classical Analysis and ODEs · Mathematics 2016-02-17 Yurii Kolomoitsev , Tetiana Lomako , Jürgen Prestin

Without the assumption of complete, shared awareness, it is necessary to consider communication between agents who may entertain different representations of the world. A syntactic (language-based) approach provides powerful tools to…

Theoretical Economics · Economics 2026-04-29 Ani Guerdjikova , Evan Piermont , John Quiggin

There are many results on the simultaneous approximation by sequences of special positive linear operators. In the year 1978, Ismail and May as well as Volkov independently studied operators of exponential type covering the most classical…

Classical Analysis and ODEs · Mathematics 2023-09-19 Ulrich Abel

In this paper, we introduce generalized Baskakov Kantorovich Stancu type operators and investigate direct result, local approximation and weighted approximation properties of these operators. Modulus of continuity, second modulus of…

Numerical Analysis · Mathematics 2015-08-06 Abdul Wafi , Nadeem Rao

Given a compact interval $I \subseteq \mathbb{R}$, and a function $f$ that is a product of a nonzero polynomial with a Gaussian, it will be shown that the translates $\{ f(\cdot - \lambda) : \lambda \in \Lambda \}$ are complete in $C(I)$ if…

Classical Analysis and ODEs · Mathematics 2024-10-02 Lukas Liehr

Variable Muckenhoupt weights are considered in variable exponent Lebesgue spaces. Applications are given for polynomial approximation in these spaces. Boundedness of averaging operator is proved to gain a transference result. Almost all…

Classical Analysis and ODEs · Mathematics 2021-09-02 Ramazam Akgün