Random walk and the heat equation / Gregory F. Lawler.
"The heat equation can be derived by averaging over a very large number of particles. Traditionally, the resulting PDE is studied as a deterministic equation, an approach that has brought many significant results and a deep understanding of the equation and its solutions. By studying the heat equati...
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Main Author: | |
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Language: | English |
Published: |
Providence, R.I. :
American Mathematical Society,
[2010], ©2010.
|
Series: | Student mathematical library ;
v. 55. |
Subjects: | |
Physical Description: | ix, 156 pages : illustrations ; 22 cm. |
Format: | Book |
Contents:
- Chapter 1. Random Walk and Discrete Heat Equation
- 1.1. Simple random walk
- 1.2. Boundary value problems
- 1.3. Heat equation
- 1.4. Expected time to escape
- 1.5. Space of harmonic functions
- 1.6. Exercises
- Chapter 2. Brownian Motion and the Heat Equation
- 2.1. Brownian motion
- 2.2. Harmonic functions
- 2.3. Dirichlet problem
- 2.4. Heat equation
- 2.5. Bounded domain
- 2.6. More on harmonic functions
- 2.7. Constructing Brownian motion
- 2.8. Exercises
- Chapter 3. Martingales
- 3.1. Examples
- 3.2. Conditional expectation
- 3.3. Definition of martingale
- 3.4. Optional sampling theorem
- 3.5. Martingale convergence theorem
- 3.6. Uniform integrability
- 3.7. Exercises
- Chapter 4. Fractal Dimension
- 4.1. Box dimension
- 4.2. Cantor measure
- 4.3. Hausdorff measure and dimension
- 4.4. Exercises.