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:2503.00369

Help | Advanced Search

Mathematics > Optimization and Control

arXiv:2503.00369 (math)
[Submitted on 1 Mar 2025 ]

Title: Linear-quadratic control for mean-field backward stochastic differential equations with random coefficients

Title: 带有随机系数的平均场倒向随机微分方程的线性二次控制

Authors:Jie Xiong, Wen Xu, Ying Yang
Abstract: In this paper, we study the linear-quadratic control problem for mean-field backward stochastic differential equations (MF-BSDE) with random coefficients. We first derive a preliminary stochastic maximum principle to analyze the unique solvability of the optimality system for this control problem through the variational method. Subsequently, we reformulate the mean-field linear-quadratic (MF-BSLQ) problem as a constrained BSDE control problem by imposing constraints on the expectation processes, which we solve using the Extended Lagrange multiplier method. Finally, we derive an explicit expression for the optimal control associated with Problem (MF-BSLQ).
Abstract: 本文研究了带有随机系数的平均场倒向随机微分方程(MF-BSDE)的线性二次控制问题。我们首先推导了一个初步的随机最大值原理,通过变分法分析了该控制问题最优系统唯一可解性的必要条件。随后,我们通过在期望过程上施加约束,将平均场线性二次(MF-BSLQ)问题重新表述为一个约束型倒向随机微分方程控制问题,并利用扩展拉格朗日乘子法求解。最后,我们得到了与问题 (MF-BSLQ) 相关的最优控制的显式表达式。
Subjects: Optimization and Control (math.OC)
Cite as: arXiv:2503.00369 [math.OC]
  (or arXiv:2503.00369v1 [math.OC] for this version)
  https://doi.org/10.48550/arXiv.2503.00369
arXiv-issued DOI via DataCite

Submission history

From: Xu Wen [view email]
[v1] Sat, 1 Mar 2025 06:37:56 UTC (20 KB)
Full-text links:

Access Paper:

    View a PDF of the paper titled
  • View Chinese PDF
  • View PDF
  • HTML (experimental)
  • TeX Source
  • Other Formats
license icon view license
Current browse context:
math.OC
< prev   |   next >
new | recent | 2025-03
Change to browse by:
math

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