2016Stochastic Analysis and ApplicationsRequires access

Graph Laplacians and discrete reproducing kernel Hilbert spaces from restrictions

Palle E. T. Jørgensen, Feng Tian

Open publisher page 11 citations

Abstract

We study kernel functions, and associated reproducing kernel Hilbert spaces over infinite, discrete, and countable sets V. Numerical analysis builds discrete models (e.g., finite element) for the purpose of finding approximate solutions to boundary value problems; using multiresolution-subdivision schemes in continuous domains. In this article, we turn the tables: Our object of study is realistic infinite discrete models in their own right; and we then use an analysis of suitable continuous counterpart problems, but now serving as a tool for obtaining solutions in the discrete world.

About this research paper

What this paper is about

We study kernel functions, and associated reproducing kernel Hilbert spaces over infinite, discrete, and countable sets V. Numerical analysis builds discrete models (e.g., finite element) for the purpose of finding approximate solutions to boundary value problems; using multiresolution-subdivision schemes in continuous domains. In this article, we turn the tables: Our object of study is realistic infinite discrete models in their own right; and we then use an analysis of suitable continuous counterpart problems, but now serving as a tool for obtaining solutions in the discrete world.

Why it matters

OpenAlex reports 11 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

We study kernel functions, and associated reproducing kernel Hilbert spaces over infinite, discrete, and countable sets V. Numerical analysis builds discrete models (e.g., finite element) for the purpose of finding approximate solutions to boundary value problems; using multiresolution-subdivision schemes in continuous domains. In this article, we turn the tables: Our object of study is realistic infinite discrete models in their own right; and we then use an analysis of suitable continuous counterpart problems, but now serving as a tool for obtaining solutions in the discrete world.

Key concepts: Mathematics, Reproducing kernel Hilbert space, Hilbert space, Graph, Kernel (algebra), Pure mathematics, Hilbert manifold, Discrete mathematics

Related papers

Back to paper searchBrowse research topicsOriginal source
Graph Laplacians and discrete reproducing kernel Hilbert spaces from restrictions — Research Paper | ScholarLens