fracta geometry

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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: