Mean-field type forward-backward doubly stochastic differential equations and related stochastic differential games
DOI10.1007/s11464-020-0889-yzbMath1470.60174OpenAlexW3125303591WikidataQ115377913 ScholiaQ115377913MaRDI QIDQ2035157
Lijiao Su, Shuyang Wang, Yong'ao Shen, Fuguo Liu, Qing-Feng Zhu, Yu-feng Shi
Publication date: 24 June 2021
Published in: Frontiers of Mathematics in China (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11464-020-0889-y
maximum principlemean-fieldbackward doubly stochastic differential equation (BDSDE)Nash equilibrium pointnon-zero sum stochastic differential game
Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Linear-quadratic optimal control problems (49N10) Stochastic games, stochastic differential games (91A15)
Cites Work
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- Mean-field backward doubly stochastic differential equations and related SPDEs
- Linear quadratic nonzero-sum differential games with random jumps
- Maximum principle for stochastic differential games with partial information
- Backward doubly stochastic differential equations and systems of quasilinear SPDEs
- A type of time-symmetric forward-backward stochastic differential equations
- Fully coupled mean-field forward-backward stochastic differential equations and stochastic maximum principle
- A partial information non-zero sum differential game of backward stochastic differential equations with applications
- Backward doubly stochastic Volterra integral equations and their applications
- Forward-backward stochastic differential games and stochastic control under model uncertainty
- Optimal proportional reinsurance and investment problem with jump-diffusion risk process under effect of inside information
- Utility maximization with partial information: Hamilton-Jacobi-Bellman equation approach
- Backward doubly stochastic differential equations with random coefficients and quasilinear stochastic PDEs
- Non-cooperative games
- A Malliavin Calculus Approach to General Stochastic Differential Games with Partial Information
- Partially observed optimal controls of forward-backward doubly stochastic systems
- Optimal Control of Backward Doubly Stochastic Systems With Partial Information
- Stochastic Maximum Principle for Mean-Field Type Optimal Control Under Partial Information
- Maximum Principle for Backward Doubly Stochastic Control Systems with Applications
- Maximum principle for forward-backward doubly stochastic control systems and applications
- Nonzero sum linear–quadratic stochastic differential games and backward–forward equations
- Stochastic maximum principle for delayed backward doubly stochastic control systems
- A maximum principle for stochastic differential games with g-expectations and partial information
- A Pontryagin's Maximum Principle for Non-Zero Sum Differential Games of BSDEs with Applications
- Stochastic maximum principle for delayed doubly stochastic control systems and their applications
- Optimal control of mean-field backward doubly stochastic systems driven by Itô-Lévy processes
- Differential games of partial information forward-backward doubly SDE and applications
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