Continuity of solutions to complex Hessian equations via the Dinew–Kołodziej estimate

This study extends the celebrated volume-capacity estimates of Dinew and Kołodziej, providing a foundation for examining the regularity of solutions to boundary value problems for complex Hessian equations. By integrating the techniques established by Dinew and Kołodziej and incorporating recent advances by Charabati and Zeriahi, we demonstrate the continuity of the solutions.

Authors

Institutions

Publication Details

Journal
Annales Fennici Mathematici
Published
2025-03-28
DOI
https://doi.org/10.54330/afm.160119
Primary Topic
Geometry and complex manifolds
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Continuity of solutions to complex Hessian equations via the Dinew–Kołodziej estimate

Per Åhag, Rafał Czyż
Annales Fennici Mathematici
Geometry and complex manifolds
article

Continuity of solutions to complex Hessian equations via the Dinew–Kołodziej estimate

Per Åhag, Rafał Czyż
article en

Abstract

This study extends the celebrated volume-capacity estimates of Dinew and Kołodziej, providing a foundation for examining the regularity of solutions to boundary value problems for complex Hessian equations. By integrating the techniques established by Dinew and Kołodziej and incorporating recent advances by Charabati and Zeriahi, we demonstrate the continuity of the solutions.

Annales Fennici MathematiciVol. 50(1)
Jagiellonian University (PL), Department of Mathematical Sciences (RU), Institute of Mathematical Statistics (US)
Openalex Percentile: Top 90%
Geometry and complex manifolds
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.