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In a complete metric space that is equipped with a doubling measure and supports a Poincar\'e inequality, we show that functions of bounded variation (BV functions) can be approximated in the strict sense and pointwise uniformly by special…

Metric Geometry · Mathematics 2018-06-13 Panu Lahti

We introduce and study two new relations between function spaces over measure spaces of infinite measure, motivated by the question of establishing compactness. The first relation captures the uniform decay of function (quasi-)norms ``at…

Functional Analysis · Mathematics 2025-11-25 Zdeněk Mihula , Maximilián Pándy

In this article, we study the properties of a class of functional spaces which arise from the investigation of nonlinear differential equations. We establish some integral inequalities then by applying these inequalities, we prove some…

Functional Analysis · Mathematics 2023-10-11 Kamal N. Soltanov , Ugur Sert

Some boundedness properties of function spaces (considered as topological groups) are studied.

General Topology · Mathematics 2017-10-31 L'ubica Holá , Ljubiša D. R. Kočinac

The paper considers the representation of k-valued logical functions in the class of disjunctive normal forms. Various classes of monotone functions of k-valued logic are investigated. Theorems are proved on the coincidence of reduced and…

Logic · Mathematics 2024-02-01 Anvar Kabulov , Abdussattar Baizhumanov , Mansur Berdimurodov

Diversities are an extension of the concept of a metric space which assign a non-negative value to every finite set of points, rather than just pairs. A general theory of diversities has been developed which exhibits many deep analogies to…

Metric Geometry · Mathematics 2026-03-04 David Bryant , Paul Tupper

We characterize when the level sets of a continuous quasi-monotone functional defined on a suitable convex subset of a normed space can be uniquely represented by a family of bounded continuous functionals. Furthermore, we investigate how…

Optimization and Control · Mathematics 2015-08-24 Ingo Steinwart

We investigate the function-space optimality (specifically, the Banach-space optimality) of a large class of shallow neural architectures with multivariate nonlinearities/activation functions. To that end, we construct a new family of…

Machine Learning · Statistics 2025-01-13 Rahul Parhi , Michael Unser

Let $D$ be a bounded domain in $\mathbb C^n$. We study approximation of (not necessarily bounded from above) $m-$subharmonic function $D$ by continuous $m-$subharmonic ones defined on neighborhoods of $\overline{D}$. We also consider the…

Complex Variables · Mathematics 2017-11-16 Nguyen Quang Dieu , Dau Hoang Hung , Hoang Thieu Anh , Sanphet Ounheuan

In this paper, we study some topological characteristics of the n-normed spaces. We observe convergence sequences, closed sets, and bounded sets in the n-normed spaces using norms of quotient spaces that will be constructed. These norms…

Functional Analysis · Mathematics 2018-10-19 Harmanus Batkunde , Hendra Gunawan

In the present article we describe a class of algebraic curves on which rational functions of two arguments may reach all their possible limiting values. We also solve a similar question for functions that can be represented as a uniform…

Classical Analysis and ODEs · Mathematics 2007-05-23 Yaacov Tzeitlin

Measuring similarity of neural networks to understand and improve their behavior has become an issue of great importance and research interest. In this survey, we provide a comprehensive overview of two complementary perspectives of…

Machine Learning · Computer Science 2025-05-22 Max Klabunde , Tobias Schumacher , Markus Strohmaier , Florian Lemmerich

The targets of this article are threefold. The first one is to give a survey on the recent developments of function spaces with mixed norms, including mixed Lebesgue spaces, iterated weak Lebesgue spaces, weak mixed-norm Lebesgue spaces and…

Classical Analysis and ODEs · Mathematics 2019-08-12 Long Huang , Dachun Yang

We construct a version of kneading theory for families of monotonous functions on the real line. The generality of the setup covers two classical results from Milnor-Thurston's kneading theory: the first one is to dynamically characterise…

Dynamical Systems · Mathematics 2022-11-17 Ermerson Araujo , Alex Zamudio Espinosa

We study a characterization of BV and Sobolev functions via nonlocal functionals in metric spaces equipped with a doubling measure and supporting a Poincar\'e inequality. Compared with previous works, we consider more general functionals.…

Functional Analysis · Mathematics 2022-07-07 Panu Lahti , Andrea Pinamonti , Xiaodan Zhou

Meta-conformal invariance is a novel class of dynamical symmetries, with dynamical exponent $z=1$, and distinct from the standard ortho-conformal invariance. The meta-conformal Ward identities can be directly read off from the Lie algebra…

Mathematical Physics · Physics 2022-11-14 Malte Henkel , Michal Dariusz Kuczynski , Stoimen Stoimenov

We study the problem of testing if a function depends on a small number of linear directions of its input data. We call a function $f$ a linear $k$-junta if it is completely determined by some $k$-dimensional subspace of the input space. In…

Computational Complexity · Computer Science 2018-11-05 Anindya De , Elchanan Mossel , Joe Neeman

In this note we consider $k$-regular multigraphs, where the possible edge multiplicities are controlled. These structures are considered in a question recently posed by Brendan McKay. We express the generating functions using the scalar…

Combinatorics · Mathematics 2015-07-21 Marni Mishna

The space of Bloch functions on bounded symmetric domains is extended by considering Bloch functions $f$ on the unit ball $B_E$ of finite and infinite dimensional complex Banach spaces in two different ways: by extending the classical Bloch…

Functional Analysis · Mathematics 2018-02-23 Alejandro Miralles

Classification is a core topic in functional data analysis. A large number of functional classifiers have been proposed in the literature, most of which are based on functional principal component analysis or functional regression. In…

Methodology · Statistics 2025-10-14 Ruoxu Tan , Yiming Zang
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