AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Powered by AMiner. Clicking this button will take you away from SciOpen.
Home Electronic Research Archive Article
PDF (653.2 KB)
Cite
EndNote(RIS) BibTeX
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

On estimates for augmented Hessian type parabolic equations on Riemannian manifolds

School of Mathematics, Harbin Institute of Technology, Harbin, 150001, China
Show Author Information

Abstract

The author extends previous results to general classes of equations under weaker assumptions obtained in 2016 by Bao, Dong and Jiao concerning the study of the regularity of solutions for the first initial-boundary value problem for parabolic Hessian equations on Riemannian manifolds.

Keywords

fully nonlinear parabolic equationsA priori C2 estimatesaugmented Hessian equationsthe first initial-boundary value problem

References

【1】
【1】
 
 
Crossref Google Scholar
Electronic Research Archive
Volume 30 Issue 9,
September 2022
Pages 3266-3289
DOI: 10.3934/era.2022166

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Cite this Report
Close
Close
Cite this article:
Jiao Y. On estimates for augmented Hessian type parabolic equations on Riemannian manifolds. Electronic Research Archive, 2022, 30(9): 3266-3289. https://doi.org/10.3934/era.2022166

9

Views

1

Downloads

0

Crossref

0

Web of Science

0

Scopus
Received: 28 November 2021
Revised: 11 May 2022
Accepted: 06 June 2022
Published: 15 September 2022
©2022 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)