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We introduce a new class of fully nonlinear integro-differential operators with possible nonsymmetric kernels, which includes the ones that arise from stochastic control problems with purely jump L\`evy processes. If the index of the…

Classical Analysis and ODEs · Mathematics 2010-11-01 Yong-Cheol Kim , Ki-Ahm Lee

The norm kernel of the generator-coordinate method is shown to be a symmetric kernel of an integral equation with eigenfunctions defined in the Fock--Bargmann space and forming a complete set of orthonormalized states (classified with the…

Nuclear Theory · Physics 2016-09-08 G. F. Filippov , Yu. A. Lashko , S. V. Korennov , K. Kato

The first part of the paper is devoted to the $G$-type spaces i.e. the spaces $G^\alpha_\alpha (\mathbb R^d_+)$, $\alpha\geq 1$ and their duals which can be described as analogous to the Gelfand-Shilov spaces and their duals but with…

Functional Analysis · Mathematics 2016-02-15 Smiljana Jaksić , Stevan Pilipović , Bojan Prangoski

We apply the theory of de Branges-Rovnyak spaces to describe kernels of some Toeplitz operators on the classical Hardy space $H^2$. In particular, we discuss the kernels of the operators $T_{\bar f/ f}$ and $T_{\bar I\bar f/ f}$, where $f$…

Functional Analysis · Mathematics 2020-03-02 Maria T. Nowak , Paweł Sobolewski , Andrzej Sołtysiak , Magdalena Wołoszkiewicz-Cyll

We introduce the numerical spectrum $\sigma_n(A)\subset \mathbb{C}$ of an (unbounded) linear operator $A$ on a Banach space $X$ and study its properties. Our definition is closely related to the numerical range $W(A)$ of $A$ and always…

Functional Analysis · Mathematics 2015-07-07 Martin Adler , Waed Dada , Agnes Radl

In this paper, we give a characterization of all closed linear operators in a separable Hilbert space which are unitarily equivalent to an integral operator in $L_2(R)$ with bounded and arbitrarily smooth Carleman kernel on $R^2$. In…

Spectral Theory · Mathematics 2007-05-23 Igor M. Novitskii

We present a non-asymptotic theory of generalization in deep learning where the empirical neural tangent kernel partitions the output space. In directions corresponding to signal, error dissipates rapidly; in the vast orthogonal dimensions…

Machine Learning · Computer Science 2026-05-05 Elon Litman , Gabe Guo

The geometry of a graph $G$ embedded on a closed oriented surface $S$ can be probed by counting the intersections of $G$ with closed curves on $S$. Of special interest is the map $c \mapsto \mu_G(c)$ counting the minimum number of…

Computational Geometry · Computer Science 2025-10-22 Vincent Delecroix , Oscar Fontaine , Francis Lazarus

We introduce and study a new Banach algebra structure on the trace-zero subspace $\mathcal{T}(L^2(\mathbb{G}))_0$ of trace class operators for any locally compact quantum group $\mathbb{G}$; it is defined through a mixed Lie-type product of…

Operator Algebras · Mathematics 2026-02-24 Jason Crann , Matthias Neufang

We introduce notions of finite presentation and co-exactness which serve as qualitative and quantitative analogues of finite-dimensionality for operator modules over completely contractive Banach algebras. With these notions we begin the…

Operator Algebras · Mathematics 2021-04-12 Jason Crann

The invertibility of integral linear operators is a major problem of both theoretical and practical importance. In this paper we investigate the relation between an operator invertibility and the rank of its integral kernel to develop a…

Functional Analysis · Mathematics 2011-05-27 Nikolay Balov

We consider linear spectral-meromorphic (s-meromorphic) OD operators at the real axis such that all local solutions to the eigenvalue problems are meromorphic for all $\lambda$. By definition, rank one algebro-geometrical operator $L$ admit…

Mathematical Physics · Physics 2018-05-01 P. G. Grinevich , S. P. Novikov

The image of a given orthonormal basis for a separable Hilbert space $\mathcal{H}$ under a bijective, bounded, and linear operator acting on $\mathcal{H}$ is called a Riesz basis of $\mathcal{H}$. Contrary to what happens with Riesz bases…

Functional Analysis · Mathematics 2026-01-27 Jyoti , Lalit Kumar Vashisht

Denote by $SL_3(\mathbb R)$ the special linear group of degree 3 over the real numbers, $A$ the subgroup consisting of the diagonal matrices with positive entries. In this paper, we study the algebraic and analytic properties of the…

Representation Theory · Mathematics 2025-09-09 Hanlong Fang , Xiaocheng Li , Yunfeng Zhang

When solving data analysis problems it is important to integrate prior knowledge and/or structural invariances. This paper contributes by a novel framework for incorporating algebraic invariance structure into kernels. In particular, we…

Machine Learning · Statistics 2014-12-01 Franz J. Király , Andreas Ziehe , Klaus-Robert Müller

This review article intends to introduce the reader to non-integrable geometric structures on Riemannian manifolds and invariant metric connections with torsion, and to discuss recent aspects of mathematical physics--in particular…

Differential Geometry · Mathematics 2007-05-23 Ilka Agricola

Let $G$ be a finite group, $N$ a nilpotent normal subgroup of $G$ and let $\mathrm{V}(\mathbb{\Z} G, N)$ denote the group formed by the units of the integral group ring $\mathbb{\Z} G$ of $G$ which map to the identity under the natural…

Rings and Algebras · Mathematics 2017-11-30 Leo Margolis , Ángel del Río

Kernelization studies polynomial-time preprocessing algorithms. Over the last 20 years, the most celebrated positive results of the field have been linear kernels for classical NP-hard graph problems on sparse graph classes. In this paper,…

Data Structures and Algorithms · Computer Science 2025-11-06 Christian Bertram , Deborah Haun , Mads Vestergaard Jensen , Tuukka Korhonen

Since its invention in 1979, the Feichtinger algebra has become a very useful Banach space of functions with applications in time-frequency analysis, the theory of pseudo-differential operators and several other topics. It is easily defined…

Functional Analysis · Mathematics 2017-07-27 Mads Sielemann Jakobsen

In this paper we introduce a generalization of the classical $\Leb_2(\Rd)$-based Sobolev spaces with the help of a vector differential operator $\mathbf{P}$ which consists of finitely or countably many differential operators $P_n$ which…

Numerical Analysis · Mathematics 2011-09-02 Qi Ye