Uniform approximation by smooth Picard multivariate singular integral operators revisited

In this article we reexamine the uniform approximation properties of smooth Picard multivariate singular integral operators over R N, N ≥ 1. We establish their convergence to the unit operator with rates. The estimates are pointwise and uniform. The established inequalities involve the multivariate first modulus of continuity. Our approach is based on a new multivariate trigonometric Taylor formula. At first we present in detail the general theory of uniform approximation by general smooth multivariate singular integral operators, which then is applied to the Picard operators case.

Authors

Institutions

Publication Details

Journal
Acta Universitatis Sapientiae Mathematica
Published
2025-02-19
DOI
https://doi.org/10.47745/ausm-2024-0003
Citations
1
Primary Topic
Approximation Theory and Sequence Spaces
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Uniform approximation by smooth Picard multivariate singular integral operators revisited

George A. Anastassiou
1 citations
Acta Universitatis Sapientiae Mathematica
Approximation Theory and Sequence Spaces
article

Uniform approximation by smooth Picard multivariate singular integral operators revisited

George A. Anastassiou
article en
1 citations

Abstract

In this article we reexamine the uniform approximation properties of smooth Picard multivariate singular integral operators over R N, N ≥ 1. We establish their convergence to the unit operator with rates. The estimates are pointwise and uniform. The established inequalities involve the multivariate first modulus of continuity. Our approach is based on a new multivariate trigonometric Taylor formula. At first we present in detail the general theory of uniform approximation by general smooth multivariate singular integral operators, which then is applied to the Picard operators case.

Acta Universitatis Sapientiae MathematicaVol. 16(1)
University of Memphis (US)
Openalex Percentile: Top 95%
Approximation Theory and Sequence Spaces
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.