Geometric evolution equations;
Willmore flow;
Networks;
Parabolic systems of fourth order;
Junctions;
STRAIGHTENING FLOW;
ELASTIC CURVES;
EXISTENCE;
L-2-FLOW;
D O I:
10.1016/j.jde.2018.08.019
中图分类号:
O1 [数学];
学科分类号:
0701 ;
070101 ;
摘要:
Geometric gradient flows for elastic energies of Willmore type play an important role in mathematics and in many applications. The evolution of elastic curves has been studied in detail both for closed as well as for open curves. Although elastic flows for networks also have many interesting features, they have not been studied so far from the point of view of mathematical analysis. So far it was not even clear what are appropriate boundary conditions at junctions. In this paper we give a well-posedness result for Willmore flow of networks in different geometric settings and hence lay a foundation for further mathematical analysis. A main point in the proof is to check whether different proposed boundary conditions lead to a well posed problem. In this context one has to check the Lopatinskii-Shapiro condition in order to apply the Solonnikov theory for linear parabolic systems in Holder spaces which is needed in a fixed point argument. We also show that the solution we get is unique in a purely geometric sense. (C) 2018 Elsevier Inc. All rights reserved.
机构:
Chinese Univ Hong Kong, Sch Sci & Engn, Shenzhen 518172, Guangdong, Peoples R ChinaChinese Univ Hong Kong, Sch Sci & Engn, Shenzhen 518172, Guangdong, Peoples R China
Hu, Shengqing
Lin, Zijie
论文数: 0引用数: 0
h-index: 0
机构:
Univ Utah, Dept Math, Salt Lake City, UT USAChinese Univ Hong Kong, Sch Sci & Engn, Shenzhen 518172, Guangdong, Peoples R China
Lin, Zijie
Wang, Dong
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Univ Hong Kong, Sch Sci & Engn, Shenzhen 518172, Guangdong, Peoples R China
Shenzhen Res Inst Big Data, Shenzhen Int Ctr Ind & Appl Math, Shenzhen 518172, Guangdong, Peoples R ChinaChinese Univ Hong Kong, Sch Sci & Engn, Shenzhen 518172, Guangdong, Peoples R China
Wang, Dong
Wang, Xiao-Ping
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Univ Hong Kong, Sch Sci & Engn, Shenzhen 518172, Guangdong, Peoples R China
Shenzhen Res Inst Big Data, Shenzhen Int Ctr Ind & Appl Math, Shenzhen 518172, Guangdong, Peoples R China
Hong Kong Univ Sci & Technol, Dept Math, Clear Water Bay, Hong Kong, Peoples R ChinaChinese Univ Hong Kong, Sch Sci & Engn, Shenzhen 518172, Guangdong, Peoples R China