Weierstrassian Levy flights and self-avoiding random walks
Michael F. Shlesinger
Abstract
Michael F. Shlesinger
Abstract
An analogy, involving space–time relationships, is made between a self-avoiding random walk and a Weierstrass random walk. The self-avoiding random walk is non-Markovian while the Weierstrass random walk is Markovian, but with a built-in self-similarity characterized by a fractal dimension. It is proposed that the self-avoiding random walk can be viewed as a Weierstrass random walk whose trajectory is composed of maximally packed self-similar clusters with the symmetry of the underlying lattice.
OpenAlex reports 22 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
An analogy, involving space–time relationships, is made between a self-avoiding random walk and a Weierstrass random walk. The self-avoiding random walk is non-Markovian while the Weierstrass random walk is Markovian, but with a built-in self-similarity characterized by a fractal dimension. It is proposed that the self-avoiding random walk can be viewed as a Weierstrass random walk whose trajectory is composed of maximally packed self-similar clusters with the symmetry of the underlying lattice.
Key concepts: Random walk, Self-avoiding walk, Heterogeneous random walk in one dimension, Lévy flight, Loop-erased random walk, Statistical physics, Mathematics, Markov process