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Weierstrass–Enneper parameterization

From Wikipedia, the free encyclopedia

In mathematics, the Weierstrass–Enneper parameterization of minimal surfaces is a classical piece of differential geometry.

Alfred Enneper and Karl Weierstrass studied minimal surfaces as far back as 1863.

Weierstrass parameterization facilities fabrication of periodic minimal surfaces

Let and be functions on either the entire complex plane or the unit disk, where is meromorphic and is analytic, such that wherever has a pole of order , has a zero of order (or equivalently, such that the product is holomorphic), and let be constants. Then the surface with coordinates is minimal, where the are defined using the real part of a complex integral, as follows:

The converse is also true: every nonplanar minimal surface defined over a simply connected domain can be given a parametrization of this type.[1]

For example, Enneper's surface has f(z) = 1, g(z) = zm.

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Transcription

Parametric surface of complex variables

The Weierstrass-Enneper model defines a minimal surface () on a complex plane (). Let (the complex plane as the space), the Jacobian matrix of the surface can be written as a column of complex entries:

where and are holomorphic functions of .

The Jacobian represents the two orthogonal tangent vectors of the surface:[2]

The surface normal is given by

The Jacobian leads to a number of important properties: , , , . The proofs can be found in Sharma's essay: The Weierstrass representation always gives a minimal surface.[3] The derivatives can be used to construct the first fundamental form matrix:

and the second fundamental form matrix

Finally, a point on the complex plane maps to a point on the minimal surface in by

where for all minimal surfaces throughout this paper except for Costa's minimal surface where .

Embedded minimal surfaces and examples

The classical examples of embedded complete minimal surfaces in with finite topology include the plane, the catenoid, the helicoid, and the Costa's minimal surface. Costa's surface involves Weierstrass's elliptic function :[4]

where is a constant.[5]

Helicatenoid

Choosing the functions and , a one parameter family of minimal surfaces is obtained.

Choosing the parameters of the surface as :

At the extremes, the surface is a catenoid or a helicoid . Otherwise, represents a mixing angle. The resulting surface, with domain chosen to prevent self-intersection, is a catenary rotated around the axis in a helical fashion.

A catenary that spans periodic points on a helix, subsequently rotated along the helix to produce a minimal surface.
The fundamental domain (C) and the 3D surfaces. The continuous surfaces are made of copies of the fundamental patch (R3)

Lines of curvature

One can rewrite each element of second fundamental matrix as a function of and , for example

And consequently the second fundamental form matrix can be simplified as

Lines of curvature make a quadrangulation of the domain

One of its eigenvectors is

which represents the principal direction in the complex domain.[6] Therefore, the two principal directions in the space turn out to be

See also

References

  1. ^ Dierkes, U.; Hildebrandt, S.; Küster, A.; Wohlrab, O. (1992). Minimal surfaces. Vol. I. Springer. p. 108. ISBN 3-540-53169-6.
  2. ^ Andersson, S.; Hyde, S. T.; Larsson, K.; Lidin, S. (1988). "Minimal Surfaces and Structures: From Inorganic and Metal Crystals to Cell Membranes and Biopolymers". Chem. Rev. 88 (1): 221–242. doi:10.1021/cr00083a011.
  3. ^ Sharma, R. (2012). "The Weierstrass Representation always gives a minimal surface". arXiv:1208.5689 [math.DG].
  4. ^ Lawden, D. F. (2011). Elliptic Functions and Applications. Applied Mathematical Sciences. Vol. 80. Berlin: Springer. ISBN 978-1-4419-3090-3.
  5. ^ Abbena, E.; Salamon, S.; Gray, A. (2006). "Minimal Surfaces via Complex Variables". Modern Differential Geometry of Curves and Surfaces with Mathematica. Boca Raton: CRC Press. pp. 719–766. ISBN 1-58488-448-7.
  6. ^ Hua, H.; Jia, T. (2018). "Wire cut of double-sided minimal surfaces". The Visual Computer. 34 (6–8): 985–995. doi:10.1007/s00371-018-1548-0. S2CID 13681681.
This page was last edited on 3 June 2024, at 20:44
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