Approximation and localized polynomial frame on conic domains
Yuan Xu

TL;DR
This paper develops a framework for approximation and localized polynomial frames on conic domains, extending techniques from regular domains and providing tools for polynomial approximation and analysis.
Contribution
It introduces a new framework for approximation and tight frames on conic domains, including construction methods and characterization of best polynomial approximation.
Findings
Construction of semi-discrete localized tight frames on conic domains.
Characterization of best polynomial approximation using K-functionals.
Establishment of inequalities and cubature rules for weighted polynomial analysis.
Abstract
Highly localized kernels constructed by orthogonal polynomials have been fundamental in recent development of approximation and computational analysis on the unit sphere, unit ball and several other regular domains. In this work we first study homogeneous spaces that are assumed to contain highly localized kernels and establish a framework for approximation and localized tight frame in such spaces, which extends recent works on bounded regular domains. We then show that the framework is applicable to homogeneous spaces defined on bounded conic domains, which consists of conic surfaces and the solid domains bounded by such surfaces and hyperplanes. The main results provide a construction of semi-discrete localized tight frame in weighted norm and a characterization of best approximation by polynomials on conic domains. The latter is achieved by using a -functional, defined via…
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Taxonomy
TopicsMathematical functions and polynomials · Advanced Harmonic Analysis Research · Mathematical Approximation and Integration
