Skip to main content
CenXiv.org
This website is in trial operation, support us!
We gratefully acknowledge support from all contributors.
Contribute
Donate
cenxiv logo > math > arXiv:2508.00713

Help | Advanced Search

Mathematics > Analysis of PDEs

arXiv:2508.00713 (math)
[Submitted on 1 Aug 2025 ]

Title: Controllability of diffusive Lotka-Volterra strongly competitive systems under boundary constrained controls

Title: 具有边界约束控制的扩散Lotka-Volterra强竞争系统的能控性

Authors:Elisa Affili, Enrique Zuazua
Abstract: We investigate the controllability of the competition-diffusion Lotka-Volterra system. Our primary focus is on the one-dimensional setting with Dirichlet boundary controls, interpreted as ecological management policies regulating the density of species at the habitat boundaries and satisfying bilateral constraints. We show that the system can be steered from any initial state to a constant steady state representing the extinction of the less competitive species. In contrast, we prove that controllability toward a steady state where the more competitive species vanishes is generally not achievable when the inter-species competition rates are too unbalanced. This obstruction is due to the existence of barrier solutions, which we explicitly construct based on the spectral properties of the associated reaction-diffusion operators. Our theoretical results are illustrated through numerical simulations and are accompanied by a discussion of open problems and potential directions for future research.
Abstract: 我们研究竞争扩散Lotka-Volterra系统的可控性。 我们的主要关注点是一维情况下的Dirichlet边界控制,被解释为生态管理政策,调节栖息地边界处物种的密度并满足双边约束。 我们证明,系统可以从任何初始状态被引导到一个表示较不具竞争力物种灭绝的常数稳态。 相反,我们证明当种间竞争率过于不平衡时,通常无法实现向一个更具有竞争力物种消失的稳态的可控性。 这种障碍是由于存在障碍解,我们根据相关反应扩散算子的谱特性显式构造了这些障碍解。 我们的理论结果通过数值模拟进行了说明,并附有对开放问题和未来研究潜在方向的讨论。
Comments: 35 pages, 11 figures
Subjects: Analysis of PDEs (math.AP) ; Optimization and Control (math.OC)
MSC classes: 35K57, 93B05, 35G60, 92D40
Cite as: arXiv:2508.00713 [math.AP]
  (or arXiv:2508.00713v1 [math.AP] for this version)
  https://doi.org/10.48550/arXiv.2508.00713
arXiv-issued DOI via DataCite

Submission history

From: Elisa Affili [view email]
[v1] Fri, 1 Aug 2025 15:26:49 UTC (1,514 KB)
Full-text links:

Access Paper:

    View a PDF of the paper titled
  • View Chinese PDF
  • View PDF
  • HTML (experimental)
  • TeX Source
view license
Current browse context:
math.AP
< prev   |   next >
new | recent | 2025-08
Change to browse by:
math
math.OC

References & Citations

  • NASA ADS
  • Google Scholar
  • Semantic Scholar
a export BibTeX citation Loading...

BibTeX formatted citation

×
Data provided by:

Bookmark

BibSonomy logo Reddit logo

Bibliographic and Citation Tools

Bibliographic Explorer (What is the Explorer?)
Connected Papers (What is Connected Papers?)
Litmaps (What is Litmaps?)
scite Smart Citations (What are Smart Citations?)

Code, Data and Media Associated with this Article

alphaXiv (What is alphaXiv?)
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub (What is DagsHub?)
Gotit.pub (What is GotitPub?)
Hugging Face (What is Huggingface?)
Papers with Code (What is Papers with Code?)
ScienceCast (What is ScienceCast?)

Demos

Replicate (What is Replicate?)
Hugging Face Spaces (What is Spaces?)
TXYZ.AI (What is TXYZ.AI?)

Recommenders and Search Tools

Influence Flower (What are Influence Flowers?)
CORE Recommender (What is CORE?)
IArxiv Recommender (What is IArxiv?)
  • Author
  • Venue
  • Institution
  • Topic

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)
  • About
  • Help
  • contact arXivClick here to contact arXiv Contact
  • subscribe to arXiv mailingsClick here to subscribe Subscribe
  • Copyright
  • Privacy Policy
  • Web Accessibility Assistance
  • arXiv Operational Status
    Get status notifications via email or slack

京ICP备2025123034号