Here we introduce random fractals and describe three common types.
Self-Similar Distributions Reconciling fractals and randomness.
Statistical Self-Similarity Another way to add some randomness to fractal constructions.
Brownian Motion The dance of particles emitted from pollen grains in a water drop, observed by Robert Brown in 1827 and explained by Albert Einstein in 1905 as the effect of individual water molecules hitting the pollen. Five years before Einstein, Louis Bachelier used the same ideas as a model of the stock market. Brownian motion has increments that are independent and normally distributed.
Consecutive steps in Brownian motion are independent of one another. While this seems to model some physical processes well, history is important for others. Fractional Brownian Motion is a generalization of Brownian motion to include memory. Fractional Brownian motion has increments that are dependent and normally distributed.
Here we consider how dimension behaves under projections, and show that Brownian motion gives a counterexample to our Eucidean interpretation of projection.
A criticism of fractional Brownian motion is that the steps still follow the normal distribution, so large events are very rare. Levy flights are random processes in which large steps are much more likely. But in these processes, each step is independent of those before it.