Much real data appears to exhibit both
global dependence and
long tails. |
To prepare for developing random mathematical processes with both properties, we
introduce a very simple method of synthesizing Brownian motion. |
Next, we modify this
method to produce global dependence (unifractal cartoons) and then both global
dependence and long tails (multifractal cartoons). |
We conclude by restricting our
attention to symmetric cartoons, and illustrate the variety of behaviors that arise in
this restricted situation. |
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First, we present the basic construction
of the cartoons. |
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As a simple application, we show how to simulate Brownian
motion using simple cartoons. |
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Next, we modify the cartoon generator to more general
unifractal cartoons, incorporating
global dependence. |
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Then, we modify the cartoon generator to still more general
multifractal cartoons, incorporating
both global dependence and long tails. |
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Next, we specialize the cartoon generator to
symmetric cartoons, and
illustrate the wide range of behaviors that occur in even this restricted situation. |
Return to Random Fractals.
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