Linear-quadratic non-zero sum differential game for mean-field stochastic systems with asymmetric information
DOI10.1016/j.jmaa.2021.125315zbMath1470.91033OpenAlexW3163746780MaRDI QIDQ2049322
Publication date: 25 August 2021
Published in: Journal of Mathematical Analysis and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmaa.2021.125315
feedbackasymmetric informationmean-field stochastic differential equationNash equilibrium pointfiltering equationlinear-quadratic non-zero sum differential game
Applications of stochastic analysis (to PDEs, etc.) (60H30) Linear-quadratic optimal control problems (49N10) Financial applications of other theories (91G80) Stochastic games, stochastic differential games (91A15) Mean field games and control (49N80) Mean field games (aspects of game theory) (91A16)
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- Well-posedness of mean-field type forward-backward stochastic differential equations
- A stochastic maximum principle for general mean-field systems
- A maximum principle for partially observed optimal control of forward-backward stochastic control systems
- A general stochastic maximum principle for SDEs of mean-field type
- Mean-field backward stochastic differential equations: A limit approach
- Linear quadratic nonzero-sum differential games with random jumps
- Mean field games
- Recursive stochastic linear-quadratic optimal control and nonzero-sum differential game problems with random jumps
- A kind of LQ non-zero sum differential game of backward stochastic differential equation with asymmetric information
- Linear quadratic nonzero sum differential games with asymmetric information
- Backward-forward SDE's and stochastic differential games
- Insider trading equilibrium in a market with memory
- Linear quadratic mean-field-game of backward stochastic differential systems
- Linear quadratic mean field games with a major player: the multi-scale approach
- Mean field game for linear-quadratic stochastic recursive systems
- Linear quadratic optimal control problems for mean-field backward stochastic differential equations
- A maximum principle for fully coupled stochastic control systems of mean-field type
- An asymmetric information non-zero sum differential game of mean-field backward stochastic differential equation with applications
- Insider trading in an equilibrium model with default: a passage from reduced-form to structural modelling
- Kalman-Bucy filtering equations of forward and backward stochastic systems and applications to recursive optimal control problems
- Non-cooperative games
- Linear quadratic Gaussian Stackelberg game under asymmetric information patterns
- Linear-Quadratic Optimal Control Problems for Mean-Field Stochastic Differential Equations
- Mean-Field Linear-Quadratic-Gaussian (LQG) Games for Stochastic Integral Systems
- A Linear-Quadratic Optimal Control Problem of Forward-Backward Stochastic Differential Equations With Partial Information
- The Maximum Principle for Partially Observed Optimal Control of Stochastic Differential Equations
- Nonzero sum linear–quadratic stochastic differential games and backward–forward equations
- Fully Coupled Forward-Backward Stochastic Differential Equations and Applications to Optimal Control
- An Introduction to Optimal Control of FBSDE with Incomplete Information
- Linear–Quadratic Mean-Field Game for Stochastic Delayed Systems
- The Maximum Principles for Stochastic Recursive Optimal Control Problems Under Partial Information
- An asymmetric information mean‐field type linear‐quadratic stochastic Stackelberg differential game with one leader and two followers
- Large-Population Cost-Coupled LQG Problems With Nonuniform Agents: Individual-Mass Behavior and Decentralized $\varepsilon$-Nash Equilibria
- Linear−quadratic optimal control and nonzero‐sum differential game of forward−backward stochastic system
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