Probabilistic theory of mean field games with applications. Mean field games with common noise and master equations / II, ([2018])
- Record Type:
- Book
- Title:
- Probabilistic theory of mean field games with applications. Mean field games with common noise and master equations / II, ([2018])
- Main Title:
- Probabilistic theory of mean field games with applications.
- Other Titles:
- Mean field games with common noise and master equations
- Further Information:
- Note: René Carmona, François Delarue.
- Authors:
- Carmona, R (René)
Delarue, F (François) - Contents:
- Intro; Foreword; Preface of Volume II; Organization of the Book: Volume II Organigram; Contents; Contents of Volume I; Part I MFGs with a Common Noise; 1 Optimization in a Random Environment; 1.1 FBSDEs in a Random Environment; 1.1.1 Immersion and Compatibility; 1.1.2 Compatible Probabilistic Set-Up; More on the Compatibility Condition; 1.1.3 Kunita-Watanabe Decomposition and Definition of a Solution; New Formulation of the Forward-Backward System; Definition of a Solution; 1.2 Strong Versus Weak Solution of an FBSDE; 1.2.1 Notions of Uniqueness; 1.2.2 Canonical Spaces. Transfer of Solutions to the Canonical Space1.2.3 Yamada-Watanabe Theorem for FBSDEs; Measurability of the Law of the Output with Respect to the Law of the Input; Main Statement; Compatible Product Probabilistic Set-Up; 1.3 Initial Information, Small Time Solvability, and Decoupling Field; 1.3.1 Disintegration of FBSDEs; Initial Information; Disintegration of FBSDEs; 1.3.2 Small Time Solvability and Decoupling Field; Small Time Solvability; Decoupling Field; 1.3.3 Induction Procedure; General Mechanism; Stability Property; 1.4 Optimization with Random Coefficients; 1.4.1 Optimization Problem. Description of the DynamicsCost Functionals; Standing Assumptions; 1.4.2 Value Function and Stochastic HJB Equation; 1.4.3 Revisiting the Connection Between the HJB Equations and BSDEs; Main Statement; An Intermediate Result; End of the Proof of Theorem 1.57; 1.4.4 Revisiting the Pontryagin Stochastic Maximum Principle;Intro; Foreword; Preface of Volume II; Organization of the Book: Volume II Organigram; Contents; Contents of Volume I; Part I MFGs with a Common Noise; 1 Optimization in a Random Environment; 1.1 FBSDEs in a Random Environment; 1.1.1 Immersion and Compatibility; 1.1.2 Compatible Probabilistic Set-Up; More on the Compatibility Condition; 1.1.3 Kunita-Watanabe Decomposition and Definition of a Solution; New Formulation of the Forward-Backward System; Definition of a Solution; 1.2 Strong Versus Weak Solution of an FBSDE; 1.2.1 Notions of Uniqueness; 1.2.2 Canonical Spaces. Transfer of Solutions to the Canonical Space1.2.3 Yamada-Watanabe Theorem for FBSDEs; Measurability of the Law of the Output with Respect to the Law of the Input; Main Statement; Compatible Product Probabilistic Set-Up; 1.3 Initial Information, Small Time Solvability, and Decoupling Field; 1.3.1 Disintegration of FBSDEs; Initial Information; Disintegration of FBSDEs; 1.3.2 Small Time Solvability and Decoupling Field; Small Time Solvability; Decoupling Field; 1.3.3 Induction Procedure; General Mechanism; Stability Property; 1.4 Optimization with Random Coefficients; 1.4.1 Optimization Problem. Description of the DynamicsCost Functionals; Standing Assumptions; 1.4.2 Value Function and Stochastic HJB Equation; 1.4.3 Revisiting the Connection Between the HJB Equations and BSDEs; Main Statement; An Intermediate Result; End of the Proof of Theorem 1.57; 1.4.4 Revisiting the Pontryagin Stochastic Maximum Principle; Necessary Condition; Sufficiency; 1.5 Notes & Complements; 2 MFGs with a Common Noise: Strong and Weak Solutions; 2.1 Conditional Propagation of Chaos; 2.1.1 N-Player Games with a Common Noise; 2.1.2 Set-Up for a Conditional McKean-Vlasov Theory. Exchangeable Sequences of Random VariablesNonlinear Stochastic Fokker-Planck Equation; 2.1.3 Formulation of the Limit Problem; Conditional Distributions Given F0; Solving the Conditional McKean-Vlasov SDE; More About the Flow of Conditional Marginal Distributions Îơ; 2.1.4 Conditional Propagation of Chaos; 2.2 Strong Solutions to MFGs with Common Noise; 2.2.1 Solution Strategy for Mean Field Games; 2.2.2 Revisiting the Probabilistic Set-Up; Specification of the Initial Condition; Compatibility Condition in the Optimal Control Problem; Summary. 2.2.3 FBSDE Formulation of the First Step in the Search for a Solution2.2.4 Strong MFG Matching Problem: Solutions and Strong Solvability; Equilibrium on an Arbitrary Space; Strong Solvability and Strong Solutions; 2.3 Weak Solutions for MFGs with Common Noise; 2.3.1 Weak MFG Matching Problem; Canonical Space and Distribution of an Equilibrium; 2.3.2 Yamada-Watanabe Theorem for MFG Equilibria; 2.3.3 Infinite Dimensional Stochastic FBSDEs; 2.4 Notes & Complements; 3 Solving MFGs with a Common Noise; 3.1 Introduction; 3.1.1 Road Map to Weak Solutions; 3.1.2 Statement of the Problem. … (more)
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2018
- Extent:
- 1 online resource
- Subjects:
- 530.14/4
Mathematics
Mean field theory
Game theory
SCIENCE -- Energy
SCIENCE -- Mechanics -- General
SCIENCE -- Physics -- General
Game theory
Mean field theory
Mathematics -- Calculus
Mathematics -- Differential Equations
Business & Economics -- Economics -- Theory
Calculus of variations
Differential calculus & equations
Economic theory & philosophy
Distribution (Probability theory)
Mathematical optimization
Differential equations, partial
Economic theory
Mathematics -- Probability & Statistics -- General
Probability & statistics
Electronic books - Languages:
- English
- ISBNs:
- 9783319564364
3319564366 - Related ISBNs:
- 9783319564357
3319564358 - Notes:
- Note: Includes bibliographical references and indexes.
Note: Online resource; title from PDF title page (SpringerLink, viewed March 13, 2018). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- Physical Locations:
- British Library HMNTS - ELD.DS.351920
- Ingest File:
- 01_309.xml