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We provide a mathematical interpretation of convolutional (or message passing) neural networks by using presheaves and copresheaves of the set of continuous functions over a topological space. Based on this interpretation, we formulate a…

Machine Learning · Computer Science 2026-04-28 Sun Woo Park , Yun Young Choi , U Jin Choi , Youngho Woo

Transfer learning has emerged as a highly sought-after and actively pursued research area within the statistical community. The core concept of transfer learning involves leveraging insights and information from auxiliary datasets to…

Methodology · Statistics 2024-08-01 Pengfei Li , Tao Yu , Chixiang Chen , Jing Qin

Contemporary focus on selective inference has renewed interest in the theory of selection models. In this paper, we analyze the asymptotic properties of selection models built on independent and identically distributed observations. We show…

Statistics Theory · Mathematics 2026-03-16 Daniel G. Rasines , G. Alastair Young

In math.RT/0205144 we observed that, on the level of derived categories, representations of the Lie algebra of a semisimple algebraic group over a field of finite characteristic with a given (generalized) regular central character can be…

Representation Theory · Mathematics 2016-09-07 Roman Bezrukavnikov , Ivan Mirkovic , Dmitry Rumynin

We present an introduction to the framework of strongly local Dirichlet forms and discuss connections between the existence of certain generalized eigenfunctions and spectral properties within this framework. The range of applications is…

Spectral Theory · Mathematics 2018-10-01 Daniel Lenz , Peter Stollmann , Ivan Veselic

In this paper, we present the asymptotic theory for integrated functions of increments of Brownian local times in space. Specifically, we determine their first-order limit, along with the asymptotic distribution of the fluctuations. Our key…

Probability · Mathematics 2023-11-03 Simon Campese , Nicolas Lengert , Mark Podolskij

Graph-based analysis holds both theoretical and applied significance, attracting considerable attention from researchers and yielding abundant results in recent years. However, research on fractional problems remains limited, with most of…

Analysis of PDEs · Mathematics 2025-06-10 Mengjie Zhang , Yong Lin , Yunyan Yang

Classical mathematical statistics deals with models that are parametrized by a Euclidean, i.e. finite dimensional, parameter. Quite often such models have been and still are chosen in practical situations for their mathematical simplicity…

Statistics Theory · Mathematics 2023-12-25 Chris A. J. Klaassen

In this paper we introduce Hausdorff locally convex algebra topologies on subalgebras of the whole algebra of nonlinear generalized functions. These topologies are strong duals of Fr\'echet-Schwartz space topologies and even strong duals of…

Functional Analysis · Mathematics 2014-03-21 J. Aragona , J. F. Colombeau , S. O. Juriaans

We introduce the space of grid functions, a space of generalized functions of nonstandard analysis that provides a coherent generalization both of the space of distributions and of the space of Young measures. We will show that in the space…

Functional Analysis · Mathematics 2019-07-15 Emanuele Bottazzi

Generalized prolate spheroidal functions (GPSFs) arise naturally in the study of bandlimited functions as the eigenfunctions of a certain truncated Fourier transform. In one dimension, the theory of GPSFs (typically referred to as prolate…

Numerical Analysis · Mathematics 2024-10-02 Philip Greengard

There is a wide range of applications where the local extrema of a function are the key quantity of interest. However, there is surprisingly little work on methods to infer local extrema with uncertainty quantification in the presence of…

Methodology · Statistics 2023-09-28 Meng Li , Zejian Liu , Cheng-Han Yu , Marina Vannucci

This paper aims to explore the quasiasymptotic behavior of distributions through the fractional Hankel transform. We present Tauberian result that connects the asymptotic behavior of generalized functions in the Zemanian space with the…

Functional Analysis · Mathematics 2025-04-30 Sanja Atanasova , Smiljana Jakšić , Snježana Maksimović , Stevan Pilipović

In this article, we study the regularity of solutions to inhomogeneous time-fractional evolution equations involving anisotropic non-local operators in mixed-norm Sobolev spaces of variable order, with non-trivial initial conditions. The…

Analysis of PDEs · Mathematics 2025-05-05 Jae-Hwan Choi , Jaehoon Kang , Daehan Park , Jinsol Seo

Taking up a variational viewpoint, we present some nonlocal-to-local asymptotic results for various kinds of integral functionals. The content of the thesis comprises the contributions first appeared in some research papers in collaboration…

Analysis of PDEs · Mathematics 2020-04-08 Valerio Pagliari

In this note, by exploiting mean value properties of $s$-harmonic functions, we introduce some monotonicity formulas in the nonlocal setting. We take into account intrinsically nonlocal functionals mimicking those introduced by Alt,…

Analysis of PDEs · Mathematics 2025-10-13 Fausto Ferrari , Davide Giovagnoli , Enzo Maria Merlino

On a suitable class of non-compact manifolds, we study (pseudo)differential operators which feature an asymptotic translation-invariance along one axis and an asymptotic dilation-invariance, or asymptotic homogeneity with respect to…

Analysis of PDEs · Mathematics 2023-02-28 Peter Hintz

In this paper, we focus on how we can interpret the actions of the elements in the Gelfand spectrum of a weighted Fourier algebra on connected Lie groups. They can be viewed as evaluations on specific points of the complexification of the…

Functional Analysis · Mathematics 2024-01-19 Heon Lee , Hun Hee Lee

This article addresses linear hyperbolic partial differential equations and pseudodifferential equations with strongly singular coefficients and data, modelled as members of algebras of generalised functions. We employ the recently…

Analysis of PDEs · Mathematics 2011-04-18 Claudia Garetto , Michael Oberguggenberger

Local fractional calculus deals with everywhere continuous but nowhere differentiable functions in fractal space. The Yang-Fourier transform based on the local fractional calculus is a generalization of Fourier transform in fractal space.…

Mathematical Physics · Physics 2012-07-23 Xiao-Jun Yang
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