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We encounter a bottleneck when we try to borrow the strength of classical classifiers to classify functional data. The major issue is that functional data are intrinsically infinite dimensional, thus classical classifiers cannot be applied…

Methodology · Statistics 2021-03-09 Peijun Sang , Adam B Kashlak , Linglong Kong

Given a frame in a finite dimensional Hilbert space we construct additive perturbations which decrease the condition number of the frame. By iterating this perturbation, we introduce an algorithm that produces a tight frame in a finite…

Functional Analysis · Mathematics 2025-06-19 Oleg Asipchuk , Jacob Glidewell , Luis Rodriguez

In this paper, we use a biorthogonal approach (Appell system) to construct and characterize the spaces of test and generalized functions associated to the fractional Poisson measure $\pi_{\lambda,\beta}$, that is, a probability measure in…

Functional Analysis · Mathematics 2022-05-03 Jerome B. Bendong , Sheila M. Menchavez , José Luís da Silva

In this note we discuss an abstract framework for standard boundary value problems in divergence form with maximal monotone relations as "coefficients". A reformulation of the respective problems is constructed such that they turn out to be…

Analysis of PDEs · Mathematics 2014-09-04 Sascha Trostorff , Marcus Waurick

Ciesielski's isomorphism between the space of alpha-H\"older continuous functions and the space of bounded sequences is used to give an alternative proof of the large deviation principle for Wiener processes with values in Hilbert space.

Probability · Mathematics 2012-03-22 Andreas Andresen , Peter Imkeller , Nicolas Perkowski

We study symmetric and antisymmetric tensor products of Hilbert-space operators, focusing on norms and spectra for some well-known classes favored by function-theoretic operator theorists. We pose many open questions that should interest…

Functional Analysis · Mathematics 2025-02-19 Stephan Ramon Garcia , Ryan O'Loughlin , Jiahui Yu

To characterize the function space explored by neural networks (NNs) is an important aspect of learning theory. In this work, noticing that a multi-layer NN generates implicitly a hierarchy of reproducing kernel Hilbert spaces (RKHSs) -…

Machine Learning · Computer Science 2024-04-12 Zhengdao Chen

We study expansions of Hilbert spaces with a bounded normal operator $T$. We axiomatize this theory in a natural language and identify all of its completions. We prove the definability of the adjoint $T^*$ and prove quantifier elimination…

Logic · Mathematics 2025-07-30 Alexander Berenstein , Nicolás Cuervo Ovalle , Isaac Goldbring

We characterize the inclusions of weighted classes of entire functions in terms of the defining weights resp. weight systems. First we treat weights defined in terms of a so-called associated weight function where the weight(system) is…

Complex Variables · Mathematics 2024-01-24 Gerhard Schindl

We introduce and study the definition, main properties and applications of iterated twisted tensor products of algebras, motivated by the problem of defining a suitable representative for the product of spaces in noncommutative geometry. We…

Quantum Algebra · Mathematics 2016-08-16 P. Jara Martínez , J. López Peña , F. Panaite , F. Van Oystaeyen

In this paper we combine the theory of reproducing kernel Hilbert spaces with the field of collocation methods to solve boundary value problems with special emphasis on reproducing property of kernels. From the reproducing property of…

Numerical Analysis · Mathematics 2019-03-26 Babak Azarnavid , Mahdi Emamjome , Mohammad Nabati , Saeid Abbasbandy

The Hilbert spaces for stable scattering states and particles are determined by the representations of the characterizing Euclidean and Poincar\'e group and given, respectively, by the square integrable functions on the momentum 2-spheres…

High Energy Physics - Theory · Physics 2007-05-23 Heinrich Saller

We present and study a novel class of one-dimensional Hilbert space eigenfunction transforms that diagonalize analytic difference operators encoding the (reduced) two-particle relativistic hyperbolic Calogero-Moser dynamics. The scattering…

Mathematical Physics · Physics 2016-07-25 Steven Haworth , Simon Ruijsenaars

In this short note we use ideas from systems theory to define a functional calculus for infinitesimal generators of strongly continuous semigroups on a Hilbert space. Among others, we show how this leads to new proofs of (known) results in…

Functional Analysis · Mathematics 2016-09-29 Felix Schwenninger , Hans Zwart

We present an inequality for tensor product of positive operators on Hilbert spaces by considering the tensor product of operators as words on certain alphabets (i.e., a set of letters). As applications of the operator inequality and by a…

Functional Analysis · Mathematics 2015-02-23 Xaixia Chang , Vehbi E. Paksoy , Fuzhen Zhang

Gleason's theorem asserts the equivalence of von Neumann's density operator formalism of quantum mechanics and frame functions, which are functions on the pure states that sum to 1 on any orthonormal basis of Hilbert space of dimension at…

Quantum Physics · Physics 2018-08-16 Jiri Lebl , Asif Shakeel , Nolan Wallach

We explain why and how the Hilbert space comes about in quantum theory. The axiomatic structures of vector space, of scalar product, of orthogonality, and of the linear functional are derivable from the statistical description of quantum…

Quantum Physics · Physics 2023-03-13 Yu. V. Brezhnev

We classify all continuous tensor product systems of Hilbert spaces which are ``infinitely divisible" in the sense that they have an associated logarithmic structure. These results are applied to the theory of E_0 semigroups to deduce that…

funct-an · Mathematics 2008-02-03 William Arveson

A weighted Hilbert space $F^2_{\varphi}$ of entire functions of $n$ variables is considered in the paper. The weight function $\varphi$ is a convex function on ${\mathbb C}^n$ depending on modules of variables and growing at infinity faster…

Complex Variables · Mathematics 2017-10-18 I. Kh. Musin

In this paper we show that Hilbert space-valued stochastic models are robust with respect to perturbation, due to measurement or approximation errors, in the underlying volatility process. Within the class of stochastic volatility modulated…

Probability · Mathematics 2022-11-30 Fred Espen Benth , Heidar Eyjolfsson