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This paper is devoted to establishing the kernel theorems for $\alpha$-modulation spaces in terms of boundedness and compactness. We characterize the boundedness of a linear operator $A$ from an $\alpha$-modulation space…

Functional Analysis · Mathematics 2024-10-01 Guoping Zhao , Weichao Guo

We use reproducing kernel methods to study various rigidity problems. The methods and setting allow us to also consider the non-positive case.

Complex Variables · Mathematics 2007-09-18 Daniel Alpay , Simeon Reich , David Shoikhet

The study presents a vector-valued extension of the classical Mercer theorem within the framework of reproducing kernel Hilbert spaces defined over Kaplansky-Hilbert modules associated with the algebra of essentially bounded measurable…

Functional Analysis · Mathematics 2025-11-24 A. Arziev , K. Kudaybergenov. P. Orinbaev

We use a classical characterisation to prove that functions which are bounded away from zero cannot be elements of reproducing kernel Hilbert spaces whose reproducing kernels decays to zero in a suitable way. The result is used to study…

Functional Analysis · Mathematics 2021-02-23 Toni Karvonen

We prove a theorem on separation of boundary null points for generators of continuous semigroups of holomorphic self-mappings of the unit disk in the complex plane. Our construction demonstrates the existence and importance of a particular…

Complex Variables · Mathematics 2010-03-01 Mark Elin , David Shoikhet , Nikolai Tarkhanov

We introduce a family of reproducing kernel Hilbert spaces $\mathcal A_\Lambda$ of holomorphic functions defined on an infinite--dimensional domain in a separable Hilbert space, $\mathbb{H}$. The reproducing kernel of $\mathcal A_\Lambda$…

Mathematical Physics · Physics 2026-05-05 Dimitrios Giannakis , Mohammad Javad Latifi Jebelli , Michael Montgomery

We adapt the classical framework of algebraic theories to work in the setting of (infinity,1)-categories developed by Joyal and Lurie. This gives a suitable approach for describing highly structured objects from homotopy theory. A central…

Algebraic Topology · Mathematics 2010-11-16 James Cranch

Discrepancies between theory and recent qBounce data have prompted renewed scrutiny of how boundary conditions are implemented for ultracold neutrons bouncing above a mirror in Earth's gravity. We apply the theory of self-adjoint extensions…

Quantum Physics · Physics 2025-10-20 Eric J. Sung , Benjamin Koch , Tobias Jenke , Hartmut Abele , Denys I. Bondar

Zorich maps are higher dimensional analogues of the complex exponential map. For the exponential family $\lambda e^z$, $\lambda>0$, it is known that for small values of $\lambda$ the Julia set is an uncountable collection of disjoint…

Dynamical Systems · Mathematics 2021-07-29 Athanasios Tsantaris

We give a combinatorial definition of "core entropy" for quadratic polynomials as the growth exponent of the number of certain precritical points in the Julia set (those that separate the $\alpha$ fixed point from its negative). This notion…

Dynamical Systems · Mathematics 2016-02-23 Dzmitry Dudko , Dierk Schleicher

The correct treatment of boundary conditions is a key step in the development of the SPH method. The SPH community has to face several challenges in this regard - in particular, a primordial aspect for any boundary formulation is to ensure…

Fluid Dynamics · Physics 2025-01-15 J Calderon-Sanchez , JL Cercos-Pita , D Duque

We consider linear systems of recurrence equations whose coefficients are given in terms of indefinite nested sums and products covering, e.g., the harmonic numbers, hypergeometric products, $q$-hypergeometric products or their mixed…

Symbolic Computation · Computer Science 2017-05-02 Johannes Middeke , Carsten Schneider

We extend the Ax-Katz theorem for a single polynomial from finite fields to the rings Z_m with m composite. This extension not only yields the analogous result, but gives significantly higher divisibility bounds. We conjecture what computer…

Computational Complexity · Computer Science 2014-08-19 Robert L. Surowka , Kenneth W. Regan

We introduce a Cherednik kernel and a hypergeometric function for integral root systems and prove their relation to spherical functions associated with Riemannian symmetric spaces of reductive Lie groups. Furthermore, we characterize the…

Classical Analysis and ODEs · Mathematics 2024-10-10 Dominik Brennecken

In this paper we explore a class of quadratic polynomials having Siegel disks with unbounded type rotation numbers. We prove that any boundary point of Siegel disks of these polynomials is a Lebesgue density point of their filled-in Julia…

Dynamical Systems · Mathematics 2023-07-21 Hongyu Qu , Jianyong Qiao , Guangyuan Zhang

There are many classical results, related to the Denjoy--Wolff Theorem, concerning the relationship between orbits of interior points and orbits of boundary points under iterates of holomorphic self-maps of the unit disc. Here, for the…

Dynamical Systems · Mathematics 2023-06-28 Anna Miriam Benini , Vasiliki Evdoridou , Núria Fagella , Philip J. Rippon , Gwyneth M. Stallard

We provide a new construction of Brownian disks in terms of forests of continuous random trees equipped with nonnegative labels corresponding to distances from a distinguished point uniformly distributed on the boundary of the disk. This…

Probability · Mathematics 2020-06-22 Jean-François Le Gall

Reproducing kernel Hilbert spaces are elucidated without assuming prior familiarity with Hilbert spaces. Compared with extant pedagogic material, greater care is placed on motivating the definition of reproducing kernel Hilbert spaces and…

History and Overview · Mathematics 2015-11-06 Jonathan H. Manton , Pierre-Olivier Amblard

We consider free higher derivative theories of scalars and Dirac fermions in the presence of a boundary in general dimension. We establish a method for finding consistent conformal boundary conditions in these theories by removing certain…

High Energy Physics - Theory · Physics 2023-05-10 Adam Chalabi , Christopher P. Herzog , Krishnendu Ray , Brandon Robinson , Jacopo Sisti , Andreas Stergiou

Kernel methods, being supported by a well-developed theory and coming with efficient algorithms, are among the most popular and successful machine learning techniques. From a mathematical point of view, these methods rest on the concept of…

Machine Learning · Statistics 2023-03-20 Christian Fiedler , Michael Herty , Michael Rom , Chiara Segala , Sebastian Trimpe