Critical mass capacity for two-dimensional Keller–Segel model with nonlocal reaction terms

算法 计算机科学 人工智能
作者
Shen Bian,Quan Wang,Jing Li
出处
期刊:Nonlinearity [IOP Publishing]
卷期号:36 (10): 5568-5608
标识
DOI:10.1088/1361-6544/acf63b
摘要

Abstract This paper deals with the parabolic–elliptic Keller–Segel system on R 2 , involving a source term of logistic type defined in terms of the mass capacity M 0 and the total mass of the individuals. We exhibit that the qualitative behaviour of solutions is decided by the mass capacity M 0 and the initial mass m 0 . For general solutions, the existence of a global weak solution is proved under the assumption that both M 0 and m 0 are less than 8 π , whereas there exist solutions blowing up in finite time under the hypotheses of either M 0 > 8 π with any integrable initial data or M 0 < 8 π < m 0 accompanied with large initial data. Moreover, m 0 < M 0 = 8 π gives rise to a compromise that solutions exist globally and blow up as time goes to infinity. For radially symmetric solutions, we introduce a strategy of relegating the lack of mass conservation via a transformation to the density and then obtain that there are stationary solutions given by U s , λ ( r ) = 8 λ ( r 2 + λ ) 2 with λ > 0. Subsequently we prove that if the initial data is strictly below m 0 M 0 U s , λ ( r ) for some λ > 0, then the solution vanishes in L l o c 1 ( R 2 ) as t . If the initial data is strictly above m 0 M 0 U s , λ ( r ) for some λ > 0, then the solution either blows up in finite time or has a mass concentration at the origin as time goes to infinity. Finally, our results are complemented by numerical simulations that demonstrate the asymptotic behaviour of solutions.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
豆豆发布了新的文献求助10
刚刚
刚刚
2秒前
health发布了新的文献求助10
2秒前
3秒前
3秒前
SciGPT应助麦子采纳,获得10
3秒前
3秒前
4秒前
li8888li8888完成签到 ,获得积分10
4秒前
4秒前
6秒前
JEFFREYJIA发布了新的文献求助10
6秒前
孙福禄应助cc采纳,获得10
7秒前
7秒前
8秒前
8秒前
zho发布了新的文献求助10
9秒前
凯呀月啊应助123采纳,获得10
9秒前
韩琳发布了新的文献求助10
9秒前
10秒前
12秒前
隐形曼青应助豆豆采纳,获得10
12秒前
12秒前
SciGPT应助天真的宝马采纳,获得10
14秒前
帅小主发布了新的文献求助10
14秒前
正在下雨发布了新的文献求助10
15秒前
所所应助科多兽骑士采纳,获得10
15秒前
16秒前
17秒前
Rain发布了新的文献求助10
17秒前
xuxu~完成签到,获得积分20
17秒前
优秀司炉员完成签到,获得积分10
17秒前
WM发布了新的文献求助10
18秒前
18秒前
香蕉觅云应助JEFFREYJIA采纳,获得10
20秒前
xuxu~发布了新的文献求助10
20秒前
20秒前
21秒前
fleefly完成签到,获得积分10
22秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Indomethacinのヒトにおける経皮吸収 400
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 370
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
Aktuelle Entwicklungen in der linguistischen Forschung 300
Current Perspectives on Generative SLA - Processing, Influence, and Interfaces 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3992840
求助须知:如何正确求助?哪些是违规求助? 3533621
关于积分的说明 11263330
捐赠科研通 3273416
什么是DOI,文献DOI怎么找? 1806029
邀请新用户注册赠送积分活动 882889
科研通“疑难数据库(出版商)”最低求助积分说明 809619