Scaling, Fractals and Wavelets

Scaling is a mathematical transformation that enlarges or diminishes objects.

The technique is used in a variety of areas, including finance and image processing.

This book is organized around the notions of scaling phenomena and scale invariance.

The various stochastic models commonly used to describe scaling - self-similarity, long-range dependence and multi-fractals - are introduced.

These models are compared and related to one another.

Next, fractional integration, a mathematical tool closely related to the notion of scale invariance, is discussed, and stochastic processes with prescribed scaling properties (self-similar processes, locally self-similar processes, fractionally filtered processes, iterated function systems) are defined.

A number of applications where the scaling paradigm proved fruitful are detailed: image processing, financial and stock market fluctuations, geophysics, scale relativity, and fractal time-space.