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
PDF (234.5 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Lifespan of solutions to second order Cauchy problems with small Gevrey data

John Paolo O. SotoJose Ernie C. Lope( )Mark Philip F. Ona
Institute of Mathematics, University of the Philippines Diliman, Quezon City, Philippines
Show Author Information

Abstract

Consider the second order nonlinear partial differential equation:

t 2 u = F ( u , x u ) , ( t , x ) C × R .

Given small analytic data, Yamane was able to obtain the order of the lifespan of the solution with respect to the smallness parameter ε. On the other hand, Gourdin and Mechab studied the lifespan of the solution given small Gevrey data, but under the assumption that F is independent of u. In this paper, we considered non-vanishing Gevrey data and used the method of successive approximations to obtain a solution and constructively estimate its lifespan.

CLC number: 35B30, 35G25

References

【1】
【1】
 
 
AIMS Mathematics
Pages 1434-1442

{{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

Close
Close
Cite this article:
Soto JPO, Lope JEC, Ona MPF. Lifespan of solutions to second order Cauchy problems with small Gevrey data. AIMS Mathematics, 2024, 9(1): 1434-1442. https://doi.org/10.3934/math.2024070

9

Views

0

Downloads

0

Crossref

0

Web of Science

0

Scopus

Received: 21 September 2023
Revised: 16 November 2023
Accepted: 06 December 2023
Published: 15 January 2024
©2024 the Author(s), licensee AIMS Press.

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