Random and Natural Fractals
Hausdorf dimension (exact value) |
Hausdorf dimension (approx.) |
Name | Illustration | Remarks |
---|---|---|---|---|
1/2 | 0.5 | Zeros of a Wiener process | The zeros of a Wiener process (Brownian motion) are a nowhere dense set of Lebesgue measure 0 with a fractal structure. | |
Solution of where and | 0.7499 | a random Cantor set with 50% - 30% | Generalization : At each iteration, the length of the left interval is defined with a random variable, a variable percentage of the length of the original interval. Same for the right interval, with a random variable . Its Hausdorff Dimension satisfies : . ( is the expected value of ). | |
Solution of | 1.144... | von Koch curve with random interval | The length of the middle interval is a random variable with uniform distribution on the interval (0,1/3). | |
Measured | 1.25 | Coastline of Great Britain | Fractal dimension of the west coast of Great Britain, as measured by Lewis Fry Richardson and cited by Benoît Mandelbrot. | |
1.2619 | von Koch curve with random orientation | One introduces here an element of randomness which does not affect the dimension, by choosing, at each iteration, to place the equilateral triangle above or below the curve. | ||
1.333 | Boundary of Brownian motion | (cf. Mandelbrot, Lawler, Schramm, Werner). | ||
1.333 | 2D polymer | Similar to the brownian motion in 2D with non self-intersection. | ||
1.333 | Percolation front in 2D, Corrosion front in 2D | Fractal dimension of the percolation-by-invasion front (accessible perimeter), at the percolation threshold (59.3%). It’s also the fractal dimension of a stopped corrosion front. | ||
1.40 | Clusters of clusters 2D | When limited by diffusion, clusters combine progressively to a unique cluster of dimension 1.4. | ||
1.5 | Graph of a regular Brownian function (Wiener process) | Graph of a function f such that, for any two positive reals x and x+h, the difference of their images has the centered gaussian distribution with variance = h. Generalization : The fractional Brownian motion of index follows the same definition but with a variance, in that case its Hausdorff dimension =. | ||
Measured | 1.52 | Coastline of Norway | See J. Feder. | |
Measured | 1.55 | Random walk with no self-intersection | Self-avoiding random walk in a square lattice, with a « go-back » routine for avoiding dead ends. | |
1.66 | 3D polymer | Similar to the brownian motion in a cubic lattice, but without self-intersection. | ||
1.70 | 2D DLA Cluster | In 2 dimensions, clusters formed by diffusion-limited aggregation, have a fractal dimension of around 1.70. | ||
1.7381 | Fractal percolation with 75% probability | The fractal percolation model is constructed by the progressive replacement of each square by a 3x3 grid in which is placed a random collection of sub-squares, each sub-square being retained with probability p. The "almost sure" Hausdorff dimension equals . | ||
7/4 | 1.75 | 2D percolation cluster hull | The hull or boundary of a percolation cluster. Can also be generated by a hull-generating walk, or by Schramm-Loewner Evolution. | |
1.8958 | 2D percolation cluster | In a square lattice, under the site percolation threshold (59.3%) the percolation-by-invasion cluster has a fractal dimension of 91/48. Beyond that threshold, the cluster is infinite and 91/48 becomes the fractal dimension of the « clearings ». | ||
2 | Brownian motion | Or random walk. The Hausdorff dimensions equals 2 in 2D, in 3D and in all greater dimensions (K.Falconer "The geometry of fractal sets"). | ||
Measured | Around 2 | Distribution of galaxy clusters | From the 2005 results of the Sloan Digital Sky Survey. | |
2.33 | Cauliflower | Every branch carries around 13 branches 3 times smaller. | ||
2.5 | Balls of crumpled paper | When crumpling sheets of different sizes but made of the same type of paper and with the same aspect ratio (for example, different sizes in the ISO 216 A series), then the diameter of the balls so obtained elevated to a non-integer exponent between 2 and 3 will be approximately proportional to the area of the sheets from which the balls have been made. Creases will form at all size scales (see Universality (dynamical systems)). | ||
2.50 | 3D DLA Cluster | In 3 dimensions, clusters formed by diffusion-limited aggregation, have a fractal dimension of around 2.50. | ||
2.50 | Lichtenberg figure | Their appearance and growth appear to be related to the process of diffusion-limited aggregation or DLA. | ||
2.5 | regular Brownian surface | A function, gives the height of a point such that, for two given positive increments and, then has a centered Gaussian distribution with variance = . Generalization : The fractional Brownian surface of index follows the same definition but with a variance =, in that case its Hausdorff dimension = . | ||
Measured | 2.52 | 3D percolation cluster | In a cubic lattice, at the site percolation threshold (31.1%), the 3D percolation-by-invasion cluster has a fractal dimension of around 2.52. Beyond that threshold, the cluster is infinite. | |
Measured | 2.66 | Broccoli | ||
2.79 | Surface of human brain | |||
2.97 | Lung surface | The alveoli of a lung form a fractal surface close to 3. | ||
Calculated | Multiplicative cascade | This is an example of a multifractal distribution. However by choosing its parameters in a particular way we can force the distribution to become a monofractal. |
Read more about this topic: List Of Fractals By Hausdorff Dimension
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