| I. Normal Diffusion: Fundamental Theory |
| 1 |
Introduction
History; Simple Analysis of the Isotropic Random Walk in d Dimensions, Using the Continuum Limit; Bachelier and Diffusion Equations; Normal Versus Anomalous Diffusion
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Chris Rycroft (PDF) |
| 2 |
Moments, Cumulants, and Scaling
Markov Chain for the Position (in d Dimensions), Exact Solution by Fourier Transform, Moment and Cumulant Tensors, Additivity of Cumulants, "Square-root Scaling" of Normal Diffusion
|
Ernst van Nierop (PDF) |
| 3 |
The Central Limit Theorem
Multi-dimensional CLT for Sums of IID Random Vectors (Derived by Laplace's Method of Asymptotic Expansion), Edgeworth Expansion for Convergence to the CLT With Finite Moments
|
Jacy Bird (PDF) |
| 4 |
Asymptotics Inside the Central Region
Gram-Charlier Expansions for Random Walks, Berry-Esseen Theorem, Width of the "Central Region", "Fat" Power-law Tails
|
Erik Allen (PDF) |
| 5 |
Asymptotics with Fat Tails
Singular Characteristic Functions, Generalized Gram-Charlier Expansions, Dawson's Integral, Edge of the Central Region, Additivity of Power-law Tails
|
(PDF) |
| 6 |
Asymptotics Outside the Central Region
Additivity of Power-law Tails: Intuitive Explanation, "High-Order" Tauberian Theorem for the Fourier Transform; Laplace's Method and Saddle-point Method, Uniformly Valid Asymptotics for Random Walks
|
Mustafa Sabri Kilic (PDF) |
| 7 |
Approximations of the Bernoulli Random Walk
Example of Saddle-point Asymptotics for a Symmetric Random Walk on the Integers, Detailed Comparison with Gram-Charlier Expansion and the Exact Combinatorial Solution
|
(PDF) |
| 8 |
The Continuum Limit
Application of the Bernoulli Walk to Percentile Order Statistics; Kramers-Moyall Expansion From Bachelier's Equation for Isotropic Walks, Scaling Analysis, Continuum Derivation of the CLT via the Diffusion Equation
|
Ernst van Nierop (PDF) |
| 9 |
Kramers-Moyall Cumulant Expansion
Recursive Substitution in Kramers-Moyall Moment Expansion to Obtain Modified Coefficients in Terms of Cumulants, Continuum Derivation of Gram-Charlier Expansion as the Green Function for the Kramers-Moyall Cumulant Expansion
|
Jacy Bird (PDF) |
| I. Normal Diffusion: Some Finance |
| 10 |
Applications in Finance
Models for Financial Time Series, Additive and Multiplicative Noise, Derivative Securities, Bachelier's Fair-game Price
|
Erik Allen (PDF) |
| 11 |
Pricing and Hedging Derivative Securities
Static Hedge to Minimize Risk, Optimal Trading by Linear Regression of the Random Payoff, Quadratic Risk Minimization, Riskless Hedge for a Binomial Process
|
J. F. (PDF)
Additional Notes (PDF)
|
| 12 |
Black-Scholes and Beyond
Riskless Hedging and Pricing on a Binomial Tree, Black-Scholes Equation in the Continuum Limit, Risk Neutral Valuation
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Sergiy Sidenko (PDF)
Additional notes on "Gram-Charlier" corrections for residual risk in Bouchaud-Sornette theory, by Ken Gosier (PDF)
See also Problem Set 3.
|
| 13 |
Discrete versus Continuous Stochastic Processes
Discrete Markov Processes in the Continuum Limit, Chapman-Kolomogorov Equation, Kramers-Moyall Moment Expansion, Fokker Planck Equation. Continuous Wiener Processes, Stochastic Differential Equations, Ito Calculus, Applications in Finance
|
Sergiy Sidenko (PDF) |
| I. Normal Diffusion: Some Physics |
| 14 |
Applications in Statistical Mechanics
Random Walk in an External Force Field, Einstein Relation, Boltzmann Equilibrium, Ornstein-Uhlenbeck Process, Ehrenfest Model
|
Kirill Titievsky (PDF) |
| 15 |
Brownian Motion in Energy Landscapes
Kramers Escape Rate From a Trap, Periodic Potentials, Asymmetric Structures, Brownian Ratchets and Molecular Motors (Guest Lecture by Armand Ajdari)
|
J. F. (PDF) |
| I. Normal Diffusion: First Passage |
| 16 |
First Passage in the Continuum Limit
General Formula for the First Passage Time PDF, Smirnov Density in One Dimension, First Passage to Boundaries by General Stochastic Processes
|
Mustafa Sabri Kilic (PDF) |
| 17 |
Return and First Passage on a Lattice
Return Probability in One Dimension, Generating Functions, First Passage and Return on a Lattice, Return of a Biased Bernoulli Walk, Reflection Principle (Guest Lecture by Chris Rycroft)
|
Ken Kamrin (PDF) |
| 18 |
First Passage in Higher Dimensions
Return and First Passage on a Lattice, Polya's Theorem, Continuous First Passage in Complicated Geometries, Moments of the Time and the Location of First Passage, Electrostatic Analogy
|
Kirill Titievsky (PDF) |
| I. Normal Diffusion: Correlations |
| 19 |
Polymer Models: Persistence and Self-Avoidance
Random Walk Models of Polymers, Radius of Gyration, Persistent Random Walk, Self-avoiding Walk, Flory's Scaling Theory
|
Allison Ferguson (PDF) |
| 20 |
(Physical) Brownian Motion I
Ballistic to Diffusive Transition, Correlated Steps, Green-Kubo Relation, Taylor's Effective Diffusivity, Telegrapher's Equation as the Continuum Limit of the Persistent Random Walk
|
Neville Sanjana (PDF) |
| 21 |
(Physical) Brownian Motion II
Langevin Equations, Stratonivich vs. Ito Stochastic Differentials, Multi-dimensional Fokker-Planck Equation, Kramers Equation (Vector Ornstein-Uhlenbeck Process) for the Velocity and Position, Breakdown of Normal Diffusion at Low Knudsen Number, Levy Flight for a Particle Between Rough Parallel Plates
|
Ken Kamrin (PDF) |
| II. Anomalous Diffusion |
| 22 |
Levy Flights
Steps with Infinite Variance, Levy Stability, Levy Distributions, Generalized Central Limit Theorems (Guest Lecture by Chris Rycroft)
|
Neville Sanjana (PDF) |
| 23 |
Continuous-Time Random Walks
Random Waiting Time Between Steps, Montroll-Weiss Theory of Separable CTRW, Formulation in Terms of Random Number of Steps, Tauberian Theorems for the Laplace Transform and Long-time Asymptotics
|
Chris Rycroft (PDF) |
| 24 |
Fractional Diffusion Equations
Continuum Limits of CTRW; Normal Diffusion Equation for Finite Mean Waiting Time and Finite Step Variance, Exponential Relaxation of Fourier Modes; Fractional Diffusion Equations for Super-diffusion (Riesz Fractional Derivative) and Sub-diffusion (Riemann-Liouville Fractional Derivative); Mittag-Leffler Power-law Relaxation of Fourier Modes
|
Yuxing Ben (PDF) |
| 25 |
Large Jumps and Long Waiting Times
CTRW Steps with Infinite Variance and Infinite Mean Waiting Time, "Phase Diagram" for Anomalous Diffusion, Polymer Surface Adsorption (Random Walk Near a Wall), Multidimensional Levy Stable Laws
|
Geraint Jones (PDF) |
| 26 |
Leapers and Creepers
Hughes' Formulation of Non-separable CTRW, Leapers: Cauchy-Smirnov Non-separable CTRW for Polymer Surface Adsorption, Creepers: Levy Walks for Tracer Dispersion in Homogenous Turbulence
|
Geraint Jones (PDF) |