Finding base number with Hausdorff Dimension Approximation methods?

In summary, fractal dimension (also known as Hausdorff Dimension) is denoted as D and is the exponent in the formula N=r^D, where r is the base number. The box counting method is used to approximate D, but r cannot be derived and must be given or chosen. The idea is that the measure of a figure is proportional to r^d, where r is a typical length in the figure and d is the Hausdorff Dimension. Changing to a different length may result in a different coefficient of proportionality, but the measure will still be proportional to the length to the d power.
  • #1
sammyooba
2
0
According to the link below, fractal dimension is an exponent of some sort:
http://www.vanderbilt.edu/AnS/psychology/cogsci/chaos/workshop/Fractals.html

The Hausdorff Dimension (aka fractal dimension) is denoted as D in the website above. And r is the base number.

If we were to look at any image and use Hausdorff Dimension approximation methods such as the box counting method (http://classes.yale.edu/fractals/fracanddim/boxdim/BoxDim.html) for approximating the Hausdorff Dimension which is D in N=r^D. The link describes how to find D using the box-counting method, but it doesn't explain how to derive at r. Is there a way in how we get r using the box counting method or any other Hausdorff Dimension approximation methods?

The reason I ask is because in the case of the Koch Snowflake, we know the initiator and generator (refer to first link if you're not familiar with these two terms) because it is something created by man; in other words, we already know its D and r because these values are chosen by man (aka man-made). However, if we were to take a picture of a real tree in my backyard for example (trees in general have a wonderful fractal dimensional branching pattern), we can use the box counting method to approximate at D without knowing r. So I wanted to know if we can derive at r using the box counting method or any other Hausdorff Dimension approximation methods.
 
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  • #2
you don't 'derive' r- it has to be given or chosen. The idea is simply that area has units of "length squared" so the area of a two dimensional figure is proportional to [itex]r^2[/itex] where r is a 'typical' length. Volume of a three dimensional figure is proportional to [itex]r^3[/itex]- again r can be any 'typical' length in the figure. Changing to a different length would just give a different proportion.

A figure has hausdorff dimension 'd' if and only if its measure can b written as proportiona to [itex]r^d[/itex] where r can be any length in the figure. If you change to a different length you will have a different 'coefficient of proportionality' but the measure will still be proportional to that length to the d power.
 

What is Hausdorff dimension approximation method?

The Hausdorff dimension approximation method is a mathematical technique used to estimate the Hausdorff dimension of a set. It involves calculating the Hausdorff measure, which is a measure of the size of a set in terms of its covering by smaller sets. The Hausdorff dimension is a measure of the complexity or irregularity of a set, and it can be used to classify sets as fractals or non-fractals.

Why is it important to find the base number using Hausdorff dimension approximation methods?

Finding the base number using Hausdorff dimension approximation methods can provide valuable information about the structure and complexity of a set. It can also help in understanding the behavior of a system or process, and can be useful in various fields such as physics, biology, and computer science. Additionally, the base number can be used to determine the optimal resolution for data collection and analysis.

What are some common applications of Hausdorff dimension approximation methods?

Hausdorff dimension approximation methods have many applications in various fields, including image and signal processing, data compression, pattern recognition, and chaos theory. They are also used in the analysis of complex systems, such as biological systems, financial markets, and weather patterns.

What are the limitations of Hausdorff dimension approximation methods?

One limitation of Hausdorff dimension approximation methods is that they can only approximate the Hausdorff dimension, rather than providing an exact value. Additionally, the results can be affected by the choice of parameters and the quality of the data. Furthermore, these methods may not be suitable for highly irregular or self-similar sets.

What are some alternative methods for finding the base number?

There are several alternative methods for finding the base number, such as the box-counting method, the correlation dimension method, and the information dimension method. Each of these methods has its own advantages and limitations, and the choice of method may depend on the specific application and the properties of the set being analyzed.

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