List of fractals by Hausdorff dimension

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According to Falconer, one of the essential features of a fractal is that its Hausdorff dimension strictly exceeds its topological dimension.[1] Presented here is a list of fractals ordered by increasing Hausdorff dimension, with the purpose of visualizing what it means for a fractal to have a low or a high dimension.

Deterministic fractals

Hausdorff dimension
(exact value)
Hausdorff dimension
(approx.)
Name Illustration Remarks
Calculated 0.538 Feigenbaum attractor Feigenbaum attractor.png The Feigenbaum attractor (see between arrows) is the set of points generated by successive iterations of the logistic function for the critical parameter value \scriptstyle{\lambda_\infty = 3.570}, where the period doubling is infinite. This dimension is the same for any differentiable and unimodal function.[2]
\log_3(2) 0.6309 Cantor set Cantor set in seven iterations.svg Built by removing the central third at each iteration. Nowhere dense and not a countable set.
\log_2(\varphi)=\log_2(1+\sqrt{5})-1 0.6942 Asymmetric Cantor set AsymmCantor.png The dimension is not \frac{\log(2)}{\log(8/3)}, as would be expected from the generalized Cantor set with γ=1/4, which has the same length at each stage.[3]

Built by removing the second quarter at each iteration. Nowhere dense and not a countable set. \scriptstyle\varphi = (1+\sqrt{5})/2 (golden ratio).

\log_{10}(5)=1-\log_{10}(2) 0.69897 Real numbers whose base 10 digits are even Even digits.png Similar to the Cantor set.[1]
 \log(1+\sqrt{2}) 0.88137 Spectrum of Fibonacci Hamiltonian The study of the spectrum of the Fibonacci Hamiltonian proves upper and lower bounds for its fractal dimension in the large coupling regime. These bounds show that the spectrum converges to an explicit constant.[4]
\frac{-\log(2)}{\log\left(\displaystyle\frac{1-\gamma}{2}\right)} 0<D<1 Generalized Cantor set Generalized cantor set.png Built by removing at the mth iteration the central interval of length \gamma\,l_{m-1} from each remaining segment (of length l_{m-1}=(1-\gamma)^{m-1}/2^{m-1}). At \scriptstyle\gamma=1/3 one obtains the usual Cantor set. Varying \scriptstyle\gamma between 0 and 1 yields any fractal dimension \scriptstyle 0\,<\,D\,<\,1.[5]
1 1 Smith–Volterra–Cantor set Smith-Volterra-Cantor set.svg Built by removing a central interval of length 2^{-2n} of each remaining interval at the nth iteration. Nowhere dense but has a Lebesgue measure of ½.
2+\log_2\left(\frac{1}{2}\right)=1 1 Takagi or Blancmange curve Takagi curve.png Defined on the unit interval by f(x) = \sum_{n=0}^\infty 2^{-n}s(2^{n}x), where s(x) is the sawtooth function. Special case of the Takahi-Landsberg curve: f(x) = \sum_{n=0}^\infty w^n s(2^n x) with w = 1/2. The Hausdorff dimension equals 2+log_2(w) for w in \left[1/2,1\right]. (Hunt cited by Mandelbrot[6]).
Calculated 1.0812 Julia set z² + 1/4 Julia z2+0,25.png Julia set for c = 1/4.[7]
Solution s of 2|\alpha|^{3s}+|\alpha|^{4s}=1 1.0933 Boundary of the Rauzy fractal Rauzy fractal.png Fractal representation introduced by G.Rauzy of the dynamics associated to the Tribonacci morphism: 1\mapsto12, 2\mapsto13 and 3\mapsto1.[8][9] \alpha is one of the conjugated roots of z^3-z^2-z-1=0.
2\log_7(3) 1.12915 contour of the Gosper island Gosper Island 4.svg Term used by Mandelbrot (1977).[10] The Gosper island is the limit of the Gosper curve.
Measured (box counting) 1.2 Dendrite Julia set Dendrite julia.png Julia set for parameters: Real = 0 and Imaginary = 1.
3\frac{\log(\varphi)}{\log\left(\displaystyle\frac{3+\sqrt{13}}{2}\right)} 1.2083 Fibonacci word fractal 60° Fibo 60deg F18.png Build from the Fibonacci word. See also the standard Fibonacci word fractal.

\varphi = (1+\sqrt{5})/2 (golden ratio).

\begin{align}&2\log_2\left(\displaystyle\frac{\sqrt[3]{27-3\sqrt{78}}+\sqrt[3]{27+3\sqrt{78}}}{3}\right),\\ &\text{or root of }2^x-1=2^{(2-x)/2}\end{align} 1.2108 Boundary of the tame twindragon TameTwindragontile.png One of the six 2-rep-tiles in the plane (can be tiled by two copies of itself, of equal size).[11][12]
1.26 Hénon map HenonMapImage.png The canonical Hénon map (with parameters a = 1.4 and b = 0.3) has Hausdorff dimension 1.261 ± 0.003. Different parameters yield different dimension values.
\log_3(4) 1.261859507 Triflake Triflake.png Three anti-snowflakes arranged in a way that a koch-snowflake forms in between the anti-snowflakes.
\log_3(4) 1.2619 Koch curve Koch curve.svg 3 Koch curves form the Koch snowflake or the anti-snowflake.
\log_3(4) 1.2619 boundary of Terdragon curve Terdragon boundary.png L-system: same as dragon curve with angle = 30°. The Fudgeflake is based on 3 initial segments placed in a triangle.
\log_3(4) 1.2619 2D Cantor dust Carre cantor.png Cantor set in 2 dimensions.
\log_3(4) 1.2619 2D L-system branch Onetwosix.png L-Systems branching pattern having 4 new pieces scaled by 1/3. Generating the pattern using statistical instead of exact self-similarity yields the same fractal dimension.
Calculated 1.2683 Julia set z2 − 1 Julia z2-1.png Julia set for c = −1.[13]
1.3057 Apollonian gasket Apollonian gasket.svg Starting with 3 tangent circles, repeatedly packing new circles into the complementary interstices. Also the limit set generated by reflections in 4 mutually tangent circles. See[14]
1.328 5 circles inversion fractal Cicle inversion.svg The limit set generated by iterated inversions with respect to 5 mutually tangent circles (in red). Also an Apollonian packing. See[15]
Calculated 1.3934 Douady rabbit Douady rabbit.png Julia set for c = −0,123 + 0.745i.[16]
\log_3(5) 1.4649 Vicsek fractal Box fractal.svg Built by exchanging iteratively each square by a cross of 5 squares.
\log_3(5) 1.4649 Quadratic von Koch curve (type 1) Quadratic Koch 2.svg One can recognize the pattern of the Vicsek fractal (above).
\log_{\sqrt{5}}\left(\frac{10}{3}\right) 1.49 Quadric cross Quadriccross.gif
2-\log_2(\sqrt{2})=\frac{3}{2} (conjectured exact) 1.5000 a Weierstrass function: \displaystyle f(x)=\sum_{k=1}^\infty \frac{\sin(2^k x)}{\sqrt{2}^k} Weierstrass functionAMD.png The Hausdorff dimension of the Weierstrass function f:[0,1]\to\mathbb{R} defined by f(x)=\sum_{k=1}^\infty a^{-k}\sin(b^k x) with 1<a<2 and b>1 has upper bound 2 -\log_b(a). It is believed to be the exact value. The same result can be established when, instead of the sine function, we use other periodic functions, like cosine.[1]
\log_4(8)=\frac{3}{2} 1.5000 Quadratic von Koch curve (type 2) Quadratic Koch.svg Also called "Minkowski sausage".
\log_2\left(\frac{1+\sqrt[3]{73-6\sqrt{87}}+\sqrt[3]{73+6\sqrt{87}}}{3}\right) 1.5236 Boundary of the Dragon curve Boundary dragon curve.png cf. Chang & Zhang.[17][18]
\log_2\left(\frac{1+\sqrt[3]{73-6\sqrt{87}}+\sqrt[3]{73+6\sqrt{87}}}{3}\right) 1.5236 Boundary of the twindragon curve Twindragontile.png Can be built with two dragon curves. One of the six 2-rep-tiles in the plane (can be tiled by two copies of itself, of equal size).[11]
\log_2(3) 1.5849 3-branches tree Arbre 3 branches.pngArbre 3 branches2.png Each branch carries 3 branches (here 90° and 60°). The fractal dimension of the entire tree is the fractal dimension of the terminal branches. NB: the 2-branches tree has a fractal dimension of only 1.
\log_2(3) 1.5849 Sierpinski triangle Sierpinski8.svg Also the triangle of Pascal modulo 2.
\log_2(3) 1.5849 Sierpiński arrowhead curve PfeilspitzenFraktal.PNG Same limit as the triangle (above) but built with a one-dimensional curve.
\log_2(3) 1.5849 Boundary of the T-Square fractal T-Square fractal (evolution).png The dimension of the fractal itself (not the boundary) is \log_2(4)=2[19]
\log_{\sqrt[\varphi]{\varphi}}(\varphi)=\varphi 1.61803 a golden dragon Phi glito.png Built from two similarities of ratios r and r^2, with r = 1 / \varphi^{1/\varphi}. Its dimension equals \varphi because ({r^2})^\varphi+r^\varphi = 1. With \varphi = (1+\sqrt{5})/2 (Golden number).
1+\log_3(2) 1.6309 Pascal triangle modulo 3 Pascal triangle modulo 3.png For a triangle modulo k, if k is prime, the fractal dimension is \scriptstyle{1 + \log_k\left(\frac{k+1}{2}\right)} (cf. Stephen Wolfram[20]).
1+\log_3(2) 1.6309 Sierpinski Hexagon Sierpinski hexagon 4th Iteration.svg Built in the manner of the Sierpinski carpet, on an hexagonal grid, with 6 similitudes of ratio 1/3. The Koch snowflake is present at all scales.
3\frac{\log(\varphi)}{\log (1+\sqrt{2})} 1.6379 Fibonacci word fractal Fibonacci fractal F23 steps.png Fractal based on the Fibonacci word (or Rabbit sequence) Sloane A005614. Illustration : Fractal curve after 23 steps (F23 = 28657 segments).[21] \varphi = (1+\sqrt{5})/2 (golden ratio).
Solution of (1/3)^s + (1/2)^s + (2/3)^s = 1 1.6402 Attractor of IFS with 3 similarities of ratios 1/3, 1/2 and 2/3 IFS3sim3ratios.png Generalization : Providing the open set condition holds, the attractor of an iterated function system consisting of n similarities of ratios c_n, has Hausdorff dimension s, solution of the equation coinciding with the iteration function of the Euclidean contraction factor: \sum_{k=1}^n c_k^s = 1.[1]
1+\log_5(3) 1.6826 Pascal triangle modulo 5 Pascal triangle modulo 5.png For a triangle modulo k, if k is prime, the fractal dimension is \scriptstyle{1 + \log_k\left(\frac{k+1}{2}\right)} (cf. Stephen Wolfram[20]).
Measured (box-counting) 1.7 Ikeda map attractor Ikeda map a=1 b=0.9 k=0.4 p=6.jpg For parameters a=1, b=0.9, k=0.4 and p=6 in the Ikeda map z_{n+1} = a + bz_n \exp\left[i\left[k - p/\left(1 + \lfloor z_n \rfloor^2\right)\right]\right]. It derives from a model of the plane-wave interactivity field in an optical ring laser. Different parameters yield different values.[22]
1+\log_{10}(5) 1.7 50 segment quadric fractal 50seg.tif Built with ImageJ[23]
4\log_5(2) 1.7227 Pinwheel fractal Pinwheel fractal.png Built with Conway's Pinwheel tile.
\log_3(7) 1.7712 Hexaflake HexaFlake 5th Iteration Center.svg Built by exchanging iteratively each hexagon by a flake of 7 hexagons. Its boundary is the von Koch flake and contains an infinity of Koch snowflakes (black or white).
\frac{\log(4)}{\log(2+2\cos(85^\circ))} 1.7848 Von Koch curve 85° Koch Curve 85degrees.png Generalizing the von Koch curve with an angle a chosen between 0 and 90°. The fractal dimension is then \frac{\log(4)}{\log(2+2\cos(a))} \in [1,2].
\log_2\left(3^{0.63}+2^{0.63}\right) 1.8272 A self-affine fractal set Self-affine set.png Build iteratively from a p \times q array on a square, with p \le q. Its Hausdorff dimension equals \log_p\left(\sum_{k=1}^p n_k^a\right)[1] with a=\log_q(p) and n_k is the number of elements in the kth column. The box-counting dimension yields a different formula, therefore, a different value. Unlike self-similar sets, the Hausdorff dimension of self-affine sets depends on the position of the iterated elements and there is no formula, so far, for the general case.
\frac{\log(6)}{\log(1+\varphi)} 1.8617 Pentaflake Pentaflake-C 3rd Iteration Blue.svg Built by exchanging iteratively each pentagon by a flake of 6 pentagons. \varphi=(1+\sqrt{5})/2 (golden ratio).
solution of 6(1/3)^s+5{(1/3\sqrt{3})}^s=1 1.8687 Monkeys tree Monkeytree.svg This curve appeared in Benoit Mandelbrot's "Fractal geometry of Nature" (1983). It is based on 6 similarities of ratio 1/3 and 5 similarities of ratio 1/3\sqrt{3}.[24]
\log_3(8) 1.8928 Sierpinski carpet Sierpinski carpet 6.png Each face of the Menger sponge is a Sierpinski carpet, as is the bottom surface of the 3D quadratic Koch surface (type 1).
\log_3(8) 1.8928 3D Cantor dust Cantor3D3.png Cantor set in 3 dimensions.
\log_3(4)+\log_3(2)=\frac {\log(4)} {\log(3)}+\frac {\log(2)} {\log(3)}=\frac {\log(8)} {\log(3)} 1.8928 Cartesian product of the von Koch curve and the Cantor set Koch Cantor cartesian product.png Generalization : Let F×G be the cartesian product of two fractals sets F and G. Then Dim_H(F \times G) = Dim_H(F) + Dim_H(G).[1] See also the 2D Cantor dust and the Cantor cube.
Estimated 1.9340 Boundary of the Lévy C curve LevyFractal.png Estimated by Duvall and Keesling (1999). The curve itself has a fractal dimension of 2.
1.974 Penrose tiling Pen0305c.gif See Ramachandrarao, Sinha & Sanyal.[25]
2 2 Boundary of the Mandelbrot set Boundary mandelbrot set.png The boundary and the set itself have the same dimension.[26]
2 2 Julia set Juliadim2.png For determined values of c (including c belonging to the boundary of the Mandelbrot set), the Julia set has a dimension of 2.[27]
2 2 Sierpiński curve Sierpinski-Curve-3.png Every Peano curve filling the plane has a Hausdorff dimension of 2.
2 2 Hilbert curve Hilbert curve 3.svg
2 2 Peano curve Peano curve.png And a family of curves built in a similar way, such as the Wunderlich curves.
2 2 Moore curve Moore-curve-stages-1-through-4.svg Can be extended in 3 dimensions.
2 Lebesgue curve or z-order curve Z-order curve.png Unlike the previous ones this space-filling curve is differentiable almost everywhere. Another type can be defined in 2D. Like the Hilbert Curve it can be extended in 3D.[28]
\log_\sqrt{2}(2)=2 2 Dragon curve Courbe du dragon.png And its boundary has a fractal dimension of 1.5236270862.[29]
2 Terdragon curve Terdragon curve.png L-system: F → F + F – F, angle = 120°.
\log_2(4)=2 2 Gosper curve Gosper curve 3.svg Its boundary is the Gosper island.
Solution of 7({1/3})^s+6({1/3\sqrt{3}})^s=1 2 Curve filling the Koch snowflake Mandeltree.svg Proposed by Mandelbrot in 1982,[30] it fills the Koch snowflake. It is based on 7 similarities of ratio 1/3 and 6 similarities of ratio 1/3\sqrt{3}.
\log_2(4)=2 2 Sierpiński tetrahedron Tetraedre Sierpinski.png Each tetrahedron is replaced by 4 tetrahedra.
\log_2(4)=2 2 H-fractal H fractal2.png Also the Mandelbrot tree which has a similar pattern.
\frac{\log(2)}{\log(2/\sqrt{2})}=2 2 Pythagoras tree (fractal) PythagorasTree.png Every square generates two squares with a reduction ratio of 1/\sqrt{2}.
\log_2(4)=2 2 2D Greek cross fractal Greek cross fractal stage 4.svg Each segment is replaced by a cross formed by 4 segments.
Measured 2.01 ±0.01 Rössler attractor Roessler attractor.png The fractal dimension of the Rössler attractor is slightly above 2. For a=0.1, b=0.1 and c=14 it has been estimated between 2.01 and 2.02.[31]
Measured 2.06 ±0.01 Lorenz attractor Lorenz attractor.png For parameters v=40,\sigma=16 and b=4 . See McGuinness (1983)[32]
\log_2(5) 2.3219 Fractal pyramid Fractal pyramid.jpg Each square pyramid is replaced by 5 half-size square pyramids. (Different from the Sierpinski tetrahedron, which replaces each triangular pyramid with 4 half-size triangular pyramids).
\frac{\log(20)}{\log(2+\varphi)} 2.3296 Dodecahedron fractal Dodecaedron fractal.jpg Each dodecahedron is replaced by 20 dodecahedra. \varphi = (1+\sqrt{5})/2 (golden ratio).
\log_3(13) 2.3347 3D quadratic Koch surface (type 1) Quadratic Koch 3D (type1 stage2).png Extension in 3D of the quadratic Koch curve (type 1). The illustration shows the second iteration.
2.4739 Apollonian sphere packing Apollonian spheres2.png The interstice left by the Apollonian spheres. Apollonian gasket in 3D. Dimension calculated by M. Borkovec, W. De Paris, and R. Peikert.[33]
\log_4(32)=\frac{5}{2} 2.50 3D quadratic Koch surface (type 2) Quadratic Koch 3D (type2 stage2).png Extension in 3D of the quadratic Koch curve (type 2). The illustration shows the second iteration.
\log_3(16) 2.5237 Cantor tesseract no image available Cantor set in 4 dimensions. Generalization: in a space of dimension n, the Cantor set has a Hausdorff dimension of n\log_3(2).
\frac{\log\left(\frac{\sqrt{7}}{6}-\frac{1}{3}\right)}{\log(\sqrt2-1)} 2.529 Jerusalem cube Jerusalem Cube.jpg The iteration n is built with 8 cubes of iteration n-1 (at the corners) and 12 cubes of iteration n-2 (linking the corners). The contraction ratio is \sqrt{2}-1.
\frac{\log(12)}{\log(1+\varphi)} 2.5819 Icosahedron fractal Icosaedron fractal.jpg Each icosahedron is replaced by 12 icosahedra. \varphi=(1+\sqrt{5})/2 (golden ratio).
1+\log_2(3) 2.5849 3D Greek cross fractal Greek cross 3D 1 through 4.png Each segment is replaced by a cross formed by 6 segments.
1+\log_2(3) 2.5849 Octahedron fractal Octaedron fractal.jpg Each octahedron is replaced by 6 octahedra.
1+\log_2(3) 2.5849 von Koch surface Koch surface 3.png Each equilateral triangular face is cut into 4 equal triangles.

Using the central triangle as the base, form a tetrahedron. Replace the triangular base with the tetrahedral "tent".

\log_3(20) 2.7268 Menger sponge Menger.png And its surface has a fractal dimension of \log_3(20), which is the same as that by volume.
\log_2(8)=3 3 3D Hilbert curve Hilbert3d-step3.png A Hilbert curve extended to 3 dimensions.
\log_2(8)=3 3 3D Lebesgue curve Lebesgue-3d-step3.png A Lebesgue curve extended to 3 dimensions.
\log_2(8)=3 3 3D Moore curve Moore3d-step3.png A Moore curve extended to 3 dimensions.
\log_2(8)=3 3 3D H-fractal 3D H-fractal.png A H-fractal extended to 3 dimensions.[34]
3 (conjectured) 3 (to be confirmed) Mandelbulb Mandelbulb 5 iterations.png Extension of the Mandelbrot set (power 8) in 3 dimensions[35][unreliable source?]

Random and natural fractals

Hausdorff dimension
(exact value)
Hausdorff dimension
(approx.)
Name Illustration Remarks
1/2 0.5 Zeros of a Wiener process Wiener process set of zeros.gif The zeros of a Wiener process (Brownian motion) are a nowhere dense set of Lebesgue measure 0 with a fractal structure.[1][36]
Solution of \scriptstyle{E(C_1^s + C_2^s)=1} where \scriptstyle{E(C_1)=0.5} and \scriptstyle{E(C_2)=0.3} 0.7499 a random Cantor set with 50% - 30% Random Cantor set.png Generalization : At each iteration, the length of the left interval is defined with a random variable C_1, a variable percentage of the length of the original interval. Same for the right interval, with a random variable C_2. Its Hausdorff Dimension s satisfies : \scriptstyle{E(C_1^s + C_2^s)=1}. (E(X) is the expected value of X).[1]
Solution of s+1=12*2^{-(s+1)}-6*3^{-(s+1)} 1.144... von Koch curve with random interval Random interval koch.png The length of the middle interval is a random variable with uniform distribution on the interval (0,1/3).[1]
Measured 1.22±0.02 Coastline of Ireland Ireland (MODIS).jpg Values for the fractal dimension of the entire coast of Ireland were determined by McCartney, Abernethy and Gault[37] at the University of Ulster and Theoretical Physics students at Trinity College, Dublin, under the supervision of S. Hutzler.[38]

Note that there are marked differences between Ireland's ragged west coast (fractal dimension of about 1.26) and the much smoother east coast (fractal dimension 1.10)[38]

Measured 1.25 Coastline of Great Britain Britain-fractal-coastline-combined.jpg Fractal dimension of the west coast of Great Britain, as measured by Lewis Fry Richardson and cited by Benoît Mandelbrot.[39]
\textstyle{\frac {\log(4)} {\log(3)}} 1.2619 von Koch curve with random orientation Random orientation koch.png 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]
\textstyle{\frac {4}{3}} 1.333 Boundary of Brownian motion Front mouvt brownien.png (cf. Mandelbrot, Lawler, Schramm, Werner).[40]
\textstyle{\frac {4}{3}} 1.333 2D polymer Similar to the brownian motion in 2D with non self-intersection.[41]
\textstyle{\frac {4}{3}} 1.333 Percolation front in 2D, Corrosion front in 2D Front de percolation.png 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.[41]
1.40 Clusters of clusters 2D When limited by diffusion, clusters combine progressively to a unique cluster of dimension 1.4.[41]
\textstyle{2-\frac{1}{2}} 1.5 Graph of a regular Brownian function (Wiener process) Wiener process zoom.png Graph of a function f such that, for any two positive reals x and x+h, the difference of their images f(x+h)-f(x) has the centered gaussian distribution with variance = h. Generalization : The fractional Brownian motion of index \alpha follows the same definition but with a variance = h^{2\alpha}, in that case its Hausdorff dimension =2-\alpha.[1]
Measured 1.52 Coastline of Norway Norway municipalities.png See J. Feder.[42]
Measured 1.55 Random walk with no self-intersection Polymer 2D.png Self-avoiding random walk in a square lattice, with a « go-back » routine for avoiding dead ends.
\textstyle{\frac {5} {3}} 1.66 3D polymer Similar to the brownian motion in a cubic lattice, but without self-intersection.[41]
1.70 2D DLA Cluster Aggregation limitee par diffusion.png In 2 dimensions, clusters formed by diffusion-limited aggregation, have a fractal dimension of around 1.70.[41]
\textstyle{\frac {\log(9*0.75)} {\log(3)}} 1.7381 Fractal percolation with 75% probability Fractal percolation 75.png 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 \textstyle{\frac {\log(9p)} {\log(3)}}.[1]
7/4 1.75 2D percolation cluster hull PercolationHull.png The hull or boundary of a percolation cluster. Can also be generated by a hull-generating walk,[43] or by Schramm-Loewner Evolution.
\textstyle{\frac {91} {48}} 1.8958 2D percolation cluster Amas de percolation.png In a square lattice, under the site percolation threshold (59.3%) the percolation-by-invasion cluster has a fractal dimension of 91/48.[41][44] Beyond that threshold, the cluster is infinite and 91/48 becomes the fractal dimension of the « clearings ».
\textstyle{\frac {\log(2)} {\log(\sqrt{2})} = 2} 2 Brownian motion Mouvt brownien2.png 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 Abell 1835 Hubble.jpg From the 2005 results of the Sloan Digital Sky Survey.[45]
\textstyle{\frac {\log(13)} {\log(3)}} 2.33 Cauliflower Blumenkohl-1.jpg Every branch carries around 13 branches 3 times smaller.
2.5 Balls of crumpled paper Paperball.png 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.[46] Creases will form at all size scales (see Universality (dynamical systems)).
2.50 3D DLA Cluster 3D DLA.jpg In 3 dimensions, clusters formed by diffusion-limited aggregation, have a fractal dimension of around 2.50.[41]
2.50 Lichtenberg figure PlanePair2.jpg Their appearance and growth appear to be related to the process of diffusion-limited aggregation or DLA.[41]
\textstyle{3-\frac{1}{2}} 2.5 regular Brownian surface Brownian surface.png A function \scriptstyle{f:\mathbb{R}^2 -> \mathbb{R}}, gives the height of a point (x,y) such that, for two given positive increments h and k, then \scriptstyle{f(x+h,y+k)-f(x,y)} has a centered Gaussian distribution with variance = \scriptstyle{\sqrt{h^2+k^2}}. Generalization : The fractional Brownian surface of index \alpha follows the same definition but with a variance = (h^2+k^2)^\alpha, in that case its Hausdorff dimension = 3-\alpha.[1]
Measured 2.52 3D percolation cluster 3Dpercolation.png 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.[44] Beyond that threshold, the cluster is infinite.
Measured 2.66 Broccoli Broccoli DSC00862.png [47]
2.79 Surface of human brain Cerebellum NIH.png [48]
2.97 Lung surface Thorax Lung 3d (2).jpg The alveoli of a lung form a fractal surface close to 3.[41]
Calculated \textstyle{\in(0,2)} Multiplicative cascade 3fractals2.jpg 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.[49]

See also

Notes and references

  1. 1.00 1.01 1.02 1.03 1.04 1.05 1.06 1.07 1.08 1.09 1.10 1.11 1.12 Lua error in package.lua at line 80: module 'strict' not found.
  2. Fractal dimension of the Feigenbaum attractor
  3. Lua error in package.lua at line 80: module 'strict' not found.
  4. Fractal dimension of the spectrum of the Fibonacci Hamiltonian
  5. The scattering from generalized Cantor fractals
  6. Lua error in package.lua at line 80: module 'strict' not found.
  7. fractal dimension of the Julia set for c = 1/4
  8. Boundary of the Rauzy fractal
  9. Lua error in package.lua at line 80: module 'strict' not found.
  10. Gosper island on Mathworld
  11. 11.0 11.1 On 2-reptiles in the plane, Ngai, 1999
  12. Recurrent construction of the boundary of the dragon curve (for n=2, D=1)
  13. fractal dimension of the z²-1 Julia set
  14. fractal dimension of the apollonian gasket
  15. fractal dimension of the 5 circles inversion fractal
  16. fractal dimension of the Douady rabbit
  17. Fractal dimension of the boundary of the dragon fractal
  18. Recurrent construction of the boundary of the dragon curve (for n=2, D=2)
  19. T-Square (fractal)
  20. 20.0 20.1 Fractal dimension of the Pascal triangle modulo k
  21. The Fibonacci word fractal
  22. Estimating Fractal dimension
  23. Fractal Generator for ImageJ.
  24. Monkeys tree fractal curve
  25. Fractal dimension of a Penrose tiling
  26. Fractal dimension of the boundary of the Mandelbrot set
  27. Fractal dimension of certain Julia sets
  28. Lebesgue curve variants
  29. Complex base numeral systems
  30. "Penser les mathématiques", Seuil ISBN 2-02-006061-2 (1982)
  31. Fractals and the Rössler attractor
  32. The fractal dimension of the Lorenz attractor, Mc Guinness (1983)
  33. Fractal dimension of the apollonian sphere packing
  34. Lua error in package.lua at line 80: module 'strict' not found.
  35. Hausdorff dimension of the Mandelbulb
  36. Peter Mörters, Yuval Peres, Oded Schramm, "Brownian Motion", Cambridge University Press, 2010
  37. Lua error in package.lua at line 80: module 'strict' not found.
  38. 38.0 38.1 Hutzler, S. (2013). Fractal Ireland. Science Spin, 58, 19-20.
  39. How long is the coast of Britain? Statistical self-similarity and fractional dimension, B. Mandelbrot
  40. Fractal dimension of the brownian motion boundary
  41. 41.0 41.1 41.2 41.3 41.4 41.5 41.6 41.7 41.8 Bernard Sapoval "Universalités et fractales", Flammarion-Champs (2001), ISBN=2-08-081466-4
  42. Feder, J., "Fractals,", Plenum Press, New York, (1988).
  43. Hull-generating walks
  44. 44.0 44.1 "Applications of percolation" theory by Muhammad Sahimi (1994)
  45. Basic properties of galaxy clustering in the light of recent results from the Sloan Digital Sky Survey
  46. Lua error in package.lua at line 80: module 'strict' not found.
  47. Fractal dimension of the broccoli
  48. Fractal dimension of the surface of the human brain
  49. [Meakin (1987)]

Further reading

  • Benoît Mandelbrot, The Fractal Geometry of Nature, W. H. Freeman & Co; ISBN 0-7167-1186-9 (September 1982).
  • Heinz-Otto Peitgen, The Science of Fractal Images, Dietmar Saupe (editor), Springer Verlag, ISBN 0-387-96608-0 (August 1988)
  • Michael F. Barnsley, Fractals Everywhere, Morgan Kaufmann; ISBN 0-12-079061-0
  • Bernard Sapoval, « Universalités et fractales », collection Champs, Flammarion. ISBN 2-08-081466-4 (2001).

External links