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Bibliographic Details
Main Author: Liu, Junbang
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2410.04395
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author Liu, Junbang
author_facet Liu, Junbang
contents We prove an Alexandrov-Bakelman-Pucci type estimate, which involves the integral of the determinant of the complex Hessian over a certain subset. It improves the classical ABP estimate adapted (by inequality $2^{2n}|\det(u_{i\bar{j}})|^2\geq |\det(\nabla^2u)|$) to complex setting. We give an application of it to derive sharp gradient estimates for complex Monge-Ampère equations. The approach is based on the De Giorgi iteration method developed by Guo-Phong-Tong for equations of complex Monge-Ampère type.
format Preprint
id arxiv_https___arxiv_org_abs_2410_04395
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Complex Alexandrov-Bakelman-Pucci estimate and its applications
Liu, Junbang
Differential Geometry
Analysis of PDEs
We prove an Alexandrov-Bakelman-Pucci type estimate, which involves the integral of the determinant of the complex Hessian over a certain subset. It improves the classical ABP estimate adapted (by inequality $2^{2n}|\det(u_{i\bar{j}})|^2\geq |\det(\nabla^2u)|$) to complex setting. We give an application of it to derive sharp gradient estimates for complex Monge-Ampère equations. The approach is based on the De Giorgi iteration method developed by Guo-Phong-Tong for equations of complex Monge-Ampère type.
title Complex Alexandrov-Bakelman-Pucci estimate and its applications
topic Differential Geometry
Analysis of PDEs
url https://arxiv.org/abs/2410.04395