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In this paper, we discuss the solution of certain matrix-valued partial differential equations. Such PDEs arise, for example, when constructing a Riemannian contraction metric for a dynamical system given by an autonomous ODE. We develop…

Numerical Analysis · Mathematics 2017-06-29 Peter Giesl , Holger Wendland

We generalize the Mittag-Leffler function by attaching an exponent to its Taylor coefficients. The main result is an asymptotic formula valid in sectors of the complex plane, which extends work by Le Roy [Bull. des sciences math. 24, 1900]…

Complex Variables · Mathematics 2011-03-14 Stefan Gerhold

Let $(X,\omega)$ be a compact K\"{a}hler manifold. Let $(L,h)$ be a hermitian holomorphic line bundle over $X$, such that $\Theta_{L,h}\geq -\varepsilon\omega$ for a small $\varepsilon>0$, $E$ be a holomorphic line bundle over $X$. For…

Complex Variables · Mathematics 2014-04-29 Zhiwei Wang

When applying Hamiltonian operator splitting methods for the time integration of multi-species Vlasov-Maxwell-Landau systems, the reliable and efficient numerical approximation of the Landau equation represents a fundamental component of…

Numerical Analysis · Mathematics 2025-12-23 Jose Antonio Carrillo , Mechthild Thalhammer

This paper introduces a model theory for resolution on Higher Order Hereditarily Harrop formulae (HOHH), the logic underlying the Lambda-Prolog programming language, and proves soundness and completeness of resolution. The semantics and the…

Programming Languages · Computer Science 2024-05-28 Gianluca Amato , Mary DeMarco , James Lipton

An overview about recent progress in the calculation of the heat kernel and the one-loop effective action in quantum gravity and gauge theories is given. We analyse the general structure of the standard Schwinger-De Witt asymptotic…

General Relativity and Quantum Cosmology · Physics 2007-05-23 I. G. Avramidi

In the present paper, we prove that self-approximation of $\log \zeta (s)$ with $d=0$ is equivalent to the Riemann Hypothesis. Next, we show self-approximation of $\log \zeta (s)$ with respect to all nonzero real numbers $d$. Moreover, we…

Number Theory · Mathematics 2012-03-08 Takashi Nakamura , Łukasz Pańkowski

Let $\{\lambda_f(n)\}_{n \geq 1}$ be the normalized Hecke eigenvalues of a given holomorphic cusp form $f$ of even weight $k$. We show under the assumption of the existence of Littlewood's type zero free region for $L(s, f, \chi)$, where…

Number Theory · Mathematics 2025-11-14 Jiseong Kim , Kunjakanan Nath

We defined and used a pair of Hermitian annihilation and creation operators which generate the generalized coherent states, defined in the Barut-Girardello manner, whose normalization function is just the four-parameter generalized…

Quantum Physics · Physics 2024-10-28 Dušan Popov

We consider the problem of estimating the partition function $Z(\beta)=\sum_x \exp(-\beta(H(x))$ of a Gibbs distribution with a Hamilton $H(\cdot)$, or more precisely the logarithm of the ratio $q=\ln Z(0)/Z(\beta)$. It has been recently…

Data Structures and Algorithms · Computer Science 2017-12-29 Vladimir Kolmogorov

Not all approximations arise from information systems. The problem of fitting approximations, subjected to some rules (and related data), to information systems in a rough scheme of things is known as the \emph{inverse problem}. The inverse…

Logic · Mathematics 2017-04-19 A. Mani

The asymptotically precise estimation of the generalization of kernel methods has recently received attention due to the parallels between neural networks and their associated kernels. However, prior works derive such estimates for training…

Machine Learning · Computer Science 2024-03-19 Maksim Velikanov , Maxim Panov , Dmitry Yarotsky

The purpose of this paper is to answer a few open questions in the interface of kernel methods and PDE gradient flows. Motivated by recent advances in machine learning, particularly in generative modeling and sampling, we present a rigorous…

Machine Learning · Statistics 2024-10-29 Jia-Jie Zhu , Alexander Mielke

This article is about both approximation theory and the numerical solution of partial differential equations (PDEs). First we introduce the notion of {\em reciprocal-log} or {\em log-lightning approximation} of analytic functions with…

Numerical Analysis · Mathematics 2020-10-06 Yuji Nakatsukasa , Lloyd N. Trefethen

We develop a stochastic approximation framework for learning nonlinear operators between infinite-dimensional spaces utilizing general Mercer operator-valued kernels. Our framework encompasses two key classes: (i) compact kernels, which…

Machine Learning · Statistics 2026-01-13 Jia-Qi Yang , Lei Shi

We establish the following Hilbert-space analogue of the Gleason-Kahane-\.Zelazko theorem. If $\mathcal{H}$ is a reproducing kernel Hilbert space with a normalized complete Pick kernel, and if $\Lambda$ is a linear functional on…

Functional Analysis · Mathematics 2021-08-24 Cheng Chu , Michael Hartz , Javad Mashreghi , Thomas Ransford

We consider an approximate solution to the heat equation which consists of the derivatives of heat kernel. Some conditions in the initial value, under which the approximation converges to the solution of the heat equation or diverges when…

Analysis of PDEs · Mathematics 2014-09-09 Jaywan Chung

This paper deals with the solution of unified fractional reaction-diffusion systems. The results are obtained in compact and elegant forms in terms of Mittag-Leffler functions and generalized Mittag-Leffler functions, which are suitable for…

Classical Analysis and ODEs · Mathematics 2014-09-11 R. K. Saxena , A. M. Mathai , H. J. Haubold

We prove the asymptotic of the logarithmic Bergman kernel. And as an application, we calculate the conditional expectation of density of zeros of Gaussian random sections of powers of a positive line bundle that vanish along a fixed smooth…

Complex Variables · Mathematics 2019-12-24 Jingzhou Sun

In this work, we consider the approximation of Hilbert space-valued meromorphic functions that arise as solution maps of parametric PDEs whose operator is the shift of an operator with normal and compact resolvent, e.g. the Helmholtz…

Numerical Analysis · Mathematics 2020-02-28 Francesca Bonizzoni , Fabio Nobile , Ilaria Perugia , Davide Pradovera
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