fracta geometry
TRANSCRIPT
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Fractal Geometry
Will Martino 2012
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Before we start, some cartoons
Of the 8 graphs on the
right:
Two are financial data
(successive differences)
One is a Levy Stable
One is Brownian motion
One is fractional Brownian Three are fractal 'forgeries'
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Before we start, some cartoons
Of the 8 graphs on the
right:
Two are financial data
(successive differences)
One is a Levy Stable
One is Brownian motion
One is fractional Brownian Three are fractal 'forgeries'
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Financial Forgeries
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Financial Forgeries
Add Randomness (in application of generator segments)
By the way, you've just simulated Brownian motion
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Coarse Holder Exponent
(aka The Roughness Exponent)
When we impose the condition
that there is only one H for a
given cartoon, the cartoon
generated is considered a
unifractal
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Making Financial Forgeries
To make convincing financialforgeries throw out the
unifractal condition (one H)
Price vs Trading Time (TT) is unifractal
Clock vs Trading time is Multifractal
Price vs Clock is transformed via Trading
Time
TT compresses or extends volatility
in clock time
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Other methods of generation
Iterated Function Systems (IFS)
IFS with memory
Driven IFS
This can be driven via experimental data
Driven IFS generated from a Chromosome #7
Interesting visualizations interpretations
still under active research
We will go further into this topic later
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Quantifying Fractals
Given what we've see, what is the
appropriate way to measure sets that
are self similar?
The Koch curve's length depends on
how long of a yardstick you use
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Quantifying Fractals
Well, if length doesn't work what
about area?
Predictably, this also doesn't work
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I think this is what the Buddhists would call a question wrongly put.
John Greene
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Flavors of Dimensions
Fractals simply are not normalgeometric shapes. Given they're
infinite recursive self similarity, we need a new approach
Box-Counting Dimension a set
covering approach
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Flavors of Dimensions
The Similarity Dimension
Intuition: focus on counting the
number of copies (N) scaled by a
contraction factor (r) a self-similar
shape needs to construct itself
The Moran Equation
Allows us to apply the dim-similarity
to sets of non-uniform contractionfactor construction
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Hausdorff Measure
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Hausdorff Dimension
The t for which the measure makes its transition between
zero and infinity is defined as the Hausdorff dimension
In too low a dimension, the Hausdorff measure is zero and in
too high of one it is infinite
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Quick Overview of (Driven) IFS
IFS is the repeated application of transforms according to aspecified regime (either ordered or probabilistic)
In this example, the transforms we will use are:
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Intuition Recap
Moran equation relates the self-similarity of a set to its
dimension
Coarse Holder exponent measures the roughness of a set
The Hausdorff is the 'gold standard' of generalized
dimensional measures but it can be very hard to directly
compute
Now that we have the tools needed, we can put everything
together to develop the main tool used in my research
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Moran, Holder and Hausdorff
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Moran, Holder and Hausdorff
Where a(q) is the local Holder exponent and f(a) is the
Hausdorff dimension of the set for a given Holder exponent
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f(a) Curves
Via IFS with Memory, the Moran
equation further generalizes to:
Where rho is the spectral radius ofthe transition probability matrix of A
This enables us to plot the f(a) by
binning the data and extracting the
transition matrix
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Binning
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Speculation
What else? We end with a speculation. Recall Noethers theorem that if theLagrangian of a physical system exhibits a symmetry, then a conservation law is
associated with this symmetry. Familiar examples include:
space translation symmetry conservation of linear momentum
space rotation symmetry conservation of anguar momentum
time translation symmetry conservation of energy
gauge symmetry in electromagnetism conservation of charge
If fractality, or some class of fractality, is mediated by a Lagrangian, then there is a
conservation law, as yet unknown, corresponding to scaling symmetry.
- Prof. Michael Frame
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Citations
Much of this derives itself from my tutelage under Prof.
Michael Frame, his online textbook on the subject and the
following publications: