A Variational Theory for Biunivalent Holomorphic Functions

Biunivalent holomorphic functions form an interesting class in geometric function theory and are connected with special functions and solutions of complex differential equations. This class has been investigated by many authors, mainly to find the coefficient estimates. The assumption of biunivalence is rigid; this rigidity means that, for example, only the initial Taylor coefficients have been estimated. The aim of this paper is to develop a variational technique for biunivalent functions, which provides a power tool for solving the general extremal problems on the classes of such functions. It involves quasiconformal analysis.

Authors

Institutions

Publication Details

Journal
Axioms
Published
2024-09-13
DOI
https://doi.org/10.3390/axioms13090628
Citations
5
Primary Topic
Analytic and geometric function theory
Type
article
Field-Weighted Citation Impact
5.06
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Variational Theory for Biunivalent Holomorphic Functions

Samuel L. Krushkal
5 citations
Axioms
Analytic and geometric function theory
5.06
article

A Variational Theory for Biunivalent Holomorphic Functions

Samuel L. Krushkal
article en
5 citations

Abstract

Biunivalent holomorphic functions form an interesting class in geometric function theory and are connected with special functions and solutions of complex differential equations. This class has been investigated by many authors, mainly to find the coefficient estimates. The assumption of biunivalence is rigid; this rigidity means that, for example, only the initial Taylor coefficients have been estimated. The aim of this paper is to develop a variational technique for biunivalent functions, which provides a power tool for solving the general extremal problems on the classes of such functions. It involves quasiconformal analysis.

AxiomsVol. 13(9)
Bar-Ilan University (IL), University of Virginia (US)
Openalex Percentile: Top 4%
Analytic and geometric function theory
5.06
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.