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We study quasi-stationary distributions and quasi-limiting behavior of Markov chains in general reducible state spaces with absorption. We propose a set of assumptions dealing with particular situations where the state space can be…

概率论 · 数学 2026-01-14 Nicolas Champagnat , Denis Villemonais

Consider an irreducible Markov chain which satisfies a ratio limit theorem, and let $\rho$ be the spectral radius of the chain. We investigate the relation of the the $\rho\,$-Martin boundary with the boundary induced by the…

概率论 · 数学 2022-06-10 Wolfgang Woess

If a Banach-space operator has a complemented range, then its normed-space adjoint has a complemented kernel and the converse holds on a reflexive Banach space. It is also shown when complemented kernel for an operator is equivalent to…

泛函分析 · 数学 2020-10-28 C. S. Kubrusly

We show that kernel-based quadrature rules for computing integrals can be seen as a special case of random feature expansions for positive definite kernels, for a particular decomposition that always exists for such kernels. We provide a…

机器学习 · 计算机科学 2015-11-10 Francis Bach

We prove a law of large numbers for empirical approximations of the spectrum of a kernel integral operator by the spectrum of random matrices based on a sample drawn from a Markov chain, which complements the results by V. Koltchinskii and…

概率论 · 数学 2015-09-21 Radosław Adamczak , Witold Bednorz

The paper introduces new sufficient conditions of strict positive definiteness for kernels on d-dimensional spheres which are not radially symmetric but possess specific coefficient structures. The results use the series expansion of the…

数值分析 · 数学 2021-05-07 Martin Buhmann , Janin Jäger

In this paper, we present an explicit description for the boundary behavior of the Bergman kernel function, the Bergman metric, and the associated curvatures along certain sequences converging to an $h$-extendible boundary point.

复变函数 · 数学 2026-01-21 Ninh Van Thu

The search for the optimal shape parameter for Radial Basis Function (RBF) kernel approximation has been an outstanding research problem for decades. In this work, we establish a theoretical framework for this problem by leveraging a…

数值分析 · 数学 2026-01-21 Tizian Wenzel , Gabriele Santin

In this paper we investigate the approximation properties of kernel interpolants on manifolds. The kernels we consider will be obtained by the restriction of positive definite kernels on $\R^d$, such as radial basis functions (RBFs), to a…

泛函分析 · 数学 2011-01-19 Edward Fuselier , Grady Wright

We construct quasiconformal mappings in Euclidean spaces by integration of a discontinuous kernel against doubling measures with suitable decay. The differentials of mappings that arise in this way satisfy an isotropic form of the doubling…

经典分析与常微分方程 · 数学 2007-09-03 Leonid V. Kovalev , Diego Maldonado , Jang-Mei Wu

A new approach is developed for evaluating the convergence rate for nonlinear Markov chains (MC) based on the recently developed spectral radius technique of markovian coupling for linear MC and the idea of small nonlinear perturbations of…

概率论 · 数学 2025-03-27 Alexander Shchegolev , Alexander Veretennikov

The Gamma kernel is a projection kernel of the form (A(x)B(y)-B(x)A(y))/(x-y), where A and B are certain functions on the one-dimensional lattice expressed through Euler's Gamma function. The Gamma kernel depends on two continuous…

概率论 · 数学 2013-03-04 Grigori Olshanski

We study the spectrum of complete noncompact manifolds with bounded curvature and positive injectivity radius. We give general conditions which imply that their essential spectrum has an arbitrarily large finite number of gaps. In…

谱理论 · 数学 2017-11-15 Richard Schoen , Hung Tran

For Markov processes with absorption, we provide general criteria ensuring the existence and the exponential non-uniform convergence in total variation norm to a quasi-stationary distribution. We also characterize a subset of its domain of…

概率论 · 数学 2022-10-24 Nicolas Champagnat , Denis Villemonais

We consider periodic Markov chains with absorption. Applying to iterates of this periodic Markov chain criteria for the exponential convergence of conditional distributions of aperiodic absorbed Markov chains, we obtain exponential…

概率论 · 数学 2022-11-08 Nicolas Champagnat , Denis Villemonais

This work is motivated by the frequent occurrence of boundary value problems with various boundary conditions in the modeling of some problems in engineering and physical science. Here we propose a new technique to force the positive…

数值分析 · 数学 2019-06-19 Babak Azarnavid , Mohammad Nabati , Mahdi Emamjome , Kourosh Parand

For the past 30 years or so, machine learning has stimulated a great deal of research in the study of approximation capabilities (expressive power) of a multitude of processes, such as approximation by shallow or deep neural networks,…

机器学习 · 计算机科学 2025-01-07 Hrushikesh Mhaskar

Let $M$ be a relatively compact connected open subset with smooth connected boundary of a complex manifold $M'$. Let $(L,h^L)\rightarrow M'$ be a positive line bundle over $M'$. Suppose that $M'$ admits a holomorphic $\mathbb{R}$-action…

复变函数 · 数学 2023-12-27 Chin-Yu Hsiao , Xiaoshan Li , George Marinescu

We consider a metric measure space with a local regular Dirichlet form. We establish necessary and sufficient conditions for upper heat kernel bounds with sub-diffusive space-time exponent to hold. This characterization is stable under…

概率论 · 数学 2015-03-17 Sebastian Andres , Martin T. Barlow

Mercer's expansion and Mercer's theorem are cornerstone results in kernel theory. While the classical Mercer's theorem only considers continuous symmetric positive definite kernels, analogous expansions are effective in practice for…

数值分析 · 数学 2025-06-18 Sungwoo Jeong , Alex Townsend