Intersections of Random Walks

  • Gregory F. Lawler

Part of the Probability and Its Applications book series (PA)

Table of contents

  1. Front Matter
    Pages N1-10
  2. Gregory F. Lawler
    Pages 11-46
  3. Gregory F. Lawler
    Pages 47-86
  4. Gregory F. Lawler
    Pages 87-113
  5. Gregory F. Lawler
    Pages 115-137
  6. Gregory F. Lawler
    Pages 139-161
  7. Gregory F. Lawler
    Pages 163-181
  8. Gregory F. Lawler
    Pages 183-210
  9. Back Matter
    Pages 211-220

About this book


A more accurate title for this book would be "Problems dealing with the non-intersection of paths of random walks. " These include: harmonic measure, which can be considered as a problem of nonintersection of a random walk with a fixed set; the probability that the paths of independent random walks do not intersect; and self-avoiding walks, i. e. , random walks which have no self-intersections. The prerequisite is a standard measure theoretic course in probability including martingales and Brownian motion. The first chapter develops the facts about simple random walk that will be needed. The discussion is self-contained although some previous expo­ sure to random walks would be helpful. Many of the results are standard, and I have made borrowed from a number of sources, especially the ex­ cellent book of Spitzer [65]. For the sake of simplicity I have restricted the discussion to simple random walk. Of course, many of the results hold equally well for more general walks. For example, the local central limit theorem can be proved for any random walk whose increments have mean zero and finite variance. Some of the later results, especially in Section 1. 7, have not been proved for very general classes of walks. The proofs here rely heavily on the fact that the increments of simple random walk are bounded and symmetric.


Brownian motion Martingale Variance clsmbc random walk

Authors and affiliations

  • Gregory F. Lawler
    • 1
  1. 1.Department of MathematicsDuck UniversityDurhamUSA

Bibliographic information