“Aut Caesar, aut nihil.” ― Cesare Borgia
Fokker-Planck Equations (2024)
Reference: Linear and Nonlinear Fokker-Planck Equations: Analysis & Probabilistic Counterparts, Marco Reheimer
Ⅰ. Linear FPEs: Existence and Uniqueness
Ⅲ. Connection with Markov Process
Ⅳ. Nonlinear FPEs: Existence & Uniqueness and its Superposition Principle
Ⅵ. Connections with Nonlinear Markov Process
Continuous Time Mathematical Finance (2024)
Reference: Introduction on Financial Math II, Peter Bank
Ⅱ. Hedging and Pricing: Basic THMs and Applications on Kunita Watanabe Decompositions
Ⅲ. Financial Modeling: Brownian Financial Models, Volatility Models and Term Structure Models
Ⅳ. Financial Optimization: Metron’s Problem & HJB Equations and Convex Dual Method
Mean Field Games (2024)
References: [1].Mean field games and interacting particle systems, Daniel Lacker [2].Mean field games with common noise, Rene Carmona, Francois Delarue, Daniel Lacker
Ⅰ. Prelininary: Intro., Convergence and Metric, Stochastic Control
Ⅲ. Static MFG: Limit THM and Multiple Type of Agents
Ⅳ. Stochatic Differential Game: Two Player Games and n-Player Games
Ⅴ. Stochastic MFG: Limit THM, Semilinear MFG Example, Multiple Typer of Agents
Ⅵ. The Master Equations: Calculus on Measure Space, Ito Formula, Verfication THM
Rough Path Analysis and Signatures (2024)
References: [1].Rough Path Theory, Andrew L. Allan [2]. A Course on Rough Paths, Peter K. Friz, Martin Hairer [3].An Introduction to the Theory of Rough Paths, Xi Geng [4]. Multidimensional Stochastic Processes as Rough Paths: Theory and Applications, Peter K. Friz, Nicolas B. Victoir
Part i: Rough Path Theory
Ⅰ.Background: Motivation, Tensor Product and Holder Space
Ⅱ. Space of Rough Paths: Geometric, Control Paths and Lift of BMs
Ⅳ. Rough Integration and Ito Formula
Ⅴ. Rough Differential Equations
Part ii: Signatures
Ⅴ. Enhanced BMs, Levy Area and Approximation
Ⅵ. Lifted Conti. Semimart: BDG inequi, Regularity and Approxi.
Ⅶ. Enhanced Gaussian Processes
Malliavin Calculus (2023)
References: [1].An Introduction to Malliavin Calculus , Markus Kunze (primary) [2].Introduction to Malliavin Calculus, M. Hairer
Ⅰ. Wiener Chaos and its Decomposition
Ⅱ. Malliavin Derivative: Properties, Divergence Operator and Ornstein-Uhlenbeck Semigroup
Ⅲ. Stochastic Calculus: Mutiple Wiener Integrals, Calculus for White Noise and Ito Integrals
Ⅳ. Smoothness of Probability Laws: Absolutely Continuous, Smoothness, SDEs and Hormander’s THM
Stochastic Partial Differential Equations (2023)
References:[1] An Introduction to Stochastic PDEs, Martin Hairer [2] Stochastic Partial Differential Equation, Étienne Pardoux
Ⅱ. Linear SPDEs: Ito Calculus in Hilbert spce, Regularity of Solutions and its Long Time Behaviors
Ⅲ. Semilinear SPDEs: Existence and Uniqueness, Sobolev Embedding and Some Examples
Ⅳ. SPDEs Driven by Space-Time White Noises and Super Brownian Motions
Diffusive Processes and its Applications (2022)
Reference: Stochastic Differential Equations, Øksendal B.
Ⅰ.Ito Integral and Ito Process
Ⅳ.Boundary Value Problem: Poisson-Dirichlet Problem
Ⅵ.Application in Stochastic Control: HJB Equations and Terminal Conditions
Ⅶ.Application in Finance: Attainable and Complete, Option Pricing
Complement: Stationary Distribution of Diffusions
Mathematical Finance (2023)
References: [1].Mathematical Finance, N. H. Bingham (primary) [2].Mathematical Finance, Steve Lalley [3].Lectures on Malliavin calculus and its applications to finance, Eulalia Nualart
Ⅱ. Finance in Discrete Time: Arbitrage, Completeness, Discrete Time Black-Scholes Model and Option
Ⅲ. Finance in Continuous Time: GBMs, Black-Scoles Model and BS PDE, Barrier Option and CM Formula
Ⅳ. Insurance Math: Ruin Problem
Stochastic Calculus (2022)
References:[1]Brownian Motion, Martingales, and Stochastic Calculus, Le Gall, Jean-François(primary) [2] Continuous martingales and Brownian motion, Daniel Revuz, Marc Yor [3]Brownian Motion and Stochastic Calculus, Ioannis Karatzas, Steven E. Shreve
Ⅲ. Stochastic Integration: Construction, Ito Formula, Representation of Marts, and Girsanov Thm
Ⅳ. Local Time and Generalized Ito Formula
Ⅴ. General Theory of Markov Process
Ⅶ. SDEs: Existence & Uniqueness, Yamada Theory and Local Solutions & Blowup
Complement on Motivation of Gaussian white noise and Origin of BM
Complement on Continuous Local Mart
Complement on Stochastic Integration