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We prove a.s. (almost sure) unisolvency of interpolation by continuous random sampling with respect to any given density, in spaces of multivariate a.e. (almost everywhere) analytic functions. Examples are given concerning polynomial and…

Numerical Analysis · Mathematics 2023-03-27 Francesco Dell'Accio , Alvise Sommariva , Marco Vianello

In 1895, Cantor showed that between every two countable dense real sets, there is an order isomorphism. In fact, there is always such an order isomorphism, which is the restriction of a universal entire function.

Complex Variables · Mathematics 2018-12-27 Paul M. Gauthier

Modelling functions of sets, or equivalently, permutation-invariant functions, is a long-standing challenge in machine learning. Deep Sets is a popular method which is known to be a universal approximator for continuous set functions. We…

Machine Learning · Computer Science 2021-07-06 Edward Wagstaff , Fabian B. Fuchs , Martin Engelcke , Michael A. Osborne , Ingmar Posner

We will give an elementary nonstandard proof that the family of generalized blancmange functions are nowhere differentiable. The proof follows from the intuitive characterization of differentiability at a point as almost $\delta$ affine…

Classical Analysis and ODEs · Mathematics 2013-07-01 Tom McGaffey

Periodic point sets model all solid crystalline materials whose structures are determined in a rigid form and should be studied up to rigid motion or isometry preserving inter-point distances. In 2021 H.Edelsbrunner et al. introduced an…

Computational Geometry · Computer Science 2022-05-05 Olga Anosova , Vitaliy Kurlin

We characterize the uniform convergence points set of a pointwisely convergent sequence of real-valued functions defined on a perfectly normal space. We prove that if $X$ is a perfectly normal space which can be covered by a disjoint…

General Topology · Mathematics 2020-08-12 Olena Karlova

In this paper, we prove that in the overparametrized regime, deep neural network provide universal approximations and can interpolate any data set, as long as the activation function is locally in $L^1(\RR)$ and not an affine function.…

Machine Learning · Computer Science 2024-04-26 Vlad-Raul Constantinescu , Ionel Popescu

We present and study new definitions of universal and programmable universal unary functions and consider a new simplicity criterion: almost decidability of the halting set. A set of positive integers S is almost decidable if there exists a…

Computational Complexity · Computer Science 2015-05-07 Cristian S. Calude , Damien Desfontaines

It is well-known that entire functions whose spectrum belongs to a fixed bounded set $S$ admit real uniformly discrete uniqueness sets $\Lambda$. We show that the same is true for much wider spaces of continuous functions. In particular,…

Classical Analysis and ODEs · Mathematics 2017-09-13 Alexander Olevskii , Alexander Ulanovskii

Let $X$ and $M$ be a topological space and metric space, respectively. If $C(X,M)$ denotes the set of all continuous functions from X to M, we say that a subset $Y$ of $X$ is an \emph{$M$-interpolation set} if given any function $g\in M^Y$…

General Topology · Mathematics 2018-04-03 María V. Ferrer , Salvador Hernández , Luis Tárrega

In the author's PhD thesis (2019) universal envelopes were introduced as a tool for studying the continuously obtainable information on discontinuous functions. To any function $f \colon X \to Y$ between $\operatorname{qcb}_0$-spaces one…

Logic in Computer Science · Computer Science 2023-06-22 Eike Neumann

Using the virial theorem it is shown that the hypothesis of the existence of the universal density functional is invalid.

Statistical Mechanics · Physics 2015-05-20 V. B. Bobrov , S. A. Trigger

It is known that for $X$ a nowhere locally compact metric space, the set of bounded continuous, nowhere locally uniformly continuous real-valued functions on $X$ contains a dense $G_\delta$ set in the space $C_b(X)$ of all bounded…

General Topology · Mathematics 2021-05-21 Alexander J. Izzo

The universal approximation theorem is generalised to uniform convergence on the (noncompact) input space $\mathbb{R}^n$. All continuous functions that vanish at infinity can be uniformly approximated by neural networks with one hidden…

Machine Learning · Computer Science 2024-03-05 Teun D. H. van Nuland

A survey is given of the work on strong regularity for uniform algebras over the last thirty years, and some new results are proved, including the following. Let A be a uniform algebra on a compact space X and let E be the set of all those…

Functional Analysis · Mathematics 2007-05-23 J. F. Feinstein , D. W. B. Somerset

It has been widely believed for half a century that there will never exist a nonlinear theory of generalized functions, in any mathematical context. The aim of this text is to show the converse is the case and invite the reader to…

Functional Analysis · Mathematics 2007-05-23 JF. Colombeau

A main object of our study is multiset functions -- that is, permutation-invariant functions over inputs of varying sizes. Deep Sets, proposed by \cite{zaheer2017deep}, provides a \emph{universal representation} for continuous multiset…

Machine Learning · Computer Science 2023-10-24 Puoya Tabaghi , Yusu Wang

Let $g \in L^2(\mathbb{R})$ be a rational function of degree $M$, i.e. there exist polynomials $P, Q$ such that $g = {{P} \over {Q}}$ and $deg(P) < deg(Q) \leq M$. We prove that for any $\varepsilon>0$ and any $M \in \mathbb{N}$ there…

Functional Analysis · Mathematics 2025-10-31 Andrei V. Semenov

We study the density function of measurable subsets of the Cantor space. Among other things, we identify a universal set $\mathcal{U}$ for $\Sigma^{1}_{1}$ subsets of $( 0 ; 1 )$ in terms of the density function; specifically $\mathcal{U}$…

Logic · Mathematics 2018-04-17 Alessandro Andretta , Riccardo Camerlo

In this short paper, we consider the functional density on sets of uniformly bounded triangulations with fixed sets of vertices. We prove that if a functional attains its minimum on the Delaunay triangulation, for every finite set in the…

Metric Geometry · Mathematics 2015-06-11 Nikolay P. Dolbilin , Herbert Edelsbrunner , Oleg R. Musin
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