Research Article  Open Access
Michael Dorff, Stacey Muir, "A Family of Minimal Surfaces and Univalent Planar Harmonic Mappings", Abstract and Applied Analysis, vol. 2014, Article ID 476061, 8 pages, 2014. https://doi.org/10.1155/2014/476061
A Family of Minimal Surfaces and Univalent Planar Harmonic Mappings
Abstract
We present a twoparameter family of minimal surfaces constructed by lifting a family of planar harmonic mappings. In the process, we use the Clunie and SheilSmall shear construction for planar harmonic mappings convex in one direction. This family of minimal surfaces, through a continuous transformation, has connections with three wellknown surfaces: Enneper’s surface, the wavy plane, and the helicoid. Moreover, the identification process used to recognize the surfaces provides a connection to surfaces that give tight bounds on curvature estimates first studied in a 1988 work by Hengartner and Schober.
1. Introduction
A recent approach to investigate minimal surfaces in has utilized results about harmonic mappings in the plane [1–7]. Specifically, the WeierstrassEnneper representation which provides a formula for the local representation of a minimal surface in is used, but in most cases the authors have been unable to identify the minimal graphs constructed from the corresponding planar harmonic mapping. For example, in [5], Hengartner and Schober found curvature estimates for any minimal surface lying over a strip domain, a halfplane, and a slit plane with one slit lying on the real axis. For each domain, they found surfaces for which the estimates were sharp; however, they were only able to identify the surface providing the tight bounds for one of the three domains. In this paper, we identify the remaining two surfaces. Moreover, we construct a family of minimal graphs associated with a family of harmonic mappings built through the Clunie and SheilSmall shear construction [8]. This process leads to a connection between three wellknown surfaces: the Enneper surface, the wavy plane, and the helicoid. Using conjugate surfaces provides a further identification method between harmonic mappings and minimal surfaces. In doing so, we extend the family mentioned above to a twoparameter family of minimal graphs.
2. Background
We begin with background on harmonic functions defined on the open unit disk . Let be the set of analytic functions on that fix zero. Define as the set of functions which are univalent and have the additional normalization . A harmonic function with can be uniquely represented as with . Furthermore, if we write , then is sense preserving if the Jacobian, , of the mapping is positive. The function is locally univalent if never vanishes in . By a result of Lewy [9], is locally univalent and sense preserving if and only if for all . In this case, we simply say is locally univalent. In addition, we call univalent if is onetoone and sense preserving in . Let be the family of harmonic univalent functions on of the form with and . Clearly . The dilatation of is the function given by .
We recall that a domain is convex in the direction of , , if every line parallel to the line through and has a connected intersection with , and a domain that is convex in every direction is convex. If , we say that is convex in the direction of the real axis. The following theorem due to Clunie and SheilSmall [8] is often referred to as the shear construction and will be critical to our minimal surface constructions.
Theorem 1. Let . A harmonic locally univalent in is a univalent mapping of onto a domain convex in the direction of if and only if is a conformal univalent mapping of onto a domain convex in the direction of .
We now turn to some background on minimal surfaces prior to introducing the connection between harmonic mappings and minimal surfaces.
A regular surface can be parameterized by a map written as . At a given point , there exists a normal vector . Let be a tangent direction at and let be the curve of intersection of the surface and the plane containing and . Letting be the parameterization of with respect to arclength , the normal curvature in the direction is given by where we have assumed the surface has continuous second partial derivatives in its parametric representations. The principal curvatures and of the surface at are the maximum and minimum values of as ranges over all directions in the tangent plane. The mean curvature of the surface at is and a surface is minimal if at every point on the surface. Geometrically, this means that the principal curvatures bend to the same extent in opposite directions with respect to the normal. Note that we will use the term minimal graph when a minimal surface has no selfintersections over its given domain. More about minimal surfaces can be found in [10–12].
One classical way to connect two minimal surfaces is through what are called conjugate surfaces. Let and be parameterizations of surfaces from a region into . Then and , given in terms of , are conjugate if they satisfy the CauchyRiemann equations. That is, they satisfy and . Additionally, any two conjugate minimal surfaces and can be joined through the oneparameter family of minimal surfaces given by Clearly, when , we have the minimal surface parameterized by and when we have the minimal surface parameterized by . Thus, for , we have a family of minimal surfaces known as associated surfaces.
Three minimal surfaces that will arise in this paper are the helicoid, wavy plane, and Enneper’s surface. The helicoid can be parameterized on in the following way: The wavy plane can be parameterized on by Enneper’s surface can be parameterized on by
It is worth noting that scalings and reflections across planes containing two axes do not alter the geometry of minimal surfaces.
In this paper, we will use the shear construction (Theorem 1) to produce a family of harmonic mappings that can be lifted to a family of minimal surfaces by using the following version of WeierstrassEnneper representation (cf. [13, pp. 177178]).
Theorem 2 (WeierstrassEnneper representation). Let be a simply connected domain containing the origin. If a minimal graph is parameterized by sensepreserving isothermal parameters , the projection onto its base plane defines a harmonic mapping of onto whose dilatation is the square of an analytic function. Conversely, if is a harmonic univalent mapping of onto with dilatation being the square of an analytic function, then with , the parameterization defines a minimal graph whose projection into the complex plane is . Except for the choice of sign and an arbitrary additive constant in the third coordinate function, this is the only such surface.
While the WeierstrassEnneper representation theorem states that a univalent harmonic map lifts to a minimal surface that is a graph, a harmonic map that has a dilatation that is a perfect square always lifts to a minimal surface but there is no guarantee that the surface is a graph.
3. A Family of Minimal Surfaces
In this section, we use the shear construction derived from Theorem 1 to build a family of harmonic univalent functions with a range convex in one direction that lifts to a family of minimal graphs as described in Theorem 2. Moreover, we identify precisely which minimal graph the function lifts to for various members of this family and provide a connection between several wellknown minimal surfaces. In doing so, we will identify the surfaces utilized by Hengartner and Schober in [5] to show tightness for bounds on curvature estimates for surfaces lying over a halfplane and a slit plane with one slit on the negative real axis. Finally, we use a result on conjugate surfaces to introduce a twoparameter family of minimal surfaces.
Before we introduce the family of harmonic mappings, we need some background on the analytic function commonly referred to as the generalized Koebe function. For , define , , as We easily see Notice and . For , and is convex in the direction of the real axis. Additionally, for , is convex. From this, we have the following theorem.
Theorem 3. For , define to be the harmonic mapping satisfying normalized by where is given by (7). Then and is convex in the direction of the real axis, and as varies from 0 to 2, transforms from a strip mapping to a slit mapping.
Proof. By Theorem 1, and is convex in the direction of the real axis. What remains to be shown are the mapping properties of .
Using (9) to solve for and gives
In order to understand the mapping properties of , we perform a change of variables using
With , this substitution leads to
By writing , and , and , again with , it is not difficult to show that maps onto the strip and maps onto .
See Figure 1 for graphs of for various values of and . It is worth noting that by the above work, we may also explicitly describe the image of to be the region containing the origin and bounded by the curve in the plane.
(a)
(b)
(c)
(d)
(e)
(f)
We are now prepared to introduce a family of minimal graphs which will later be extended to the twoparameter family of minimal graphs discussed in the introduction.
Theorem 4. For , define to be the harmonic mapping satisfying (9) normalized by . Then lifts to a minimal graph on for each . Moreover, is a part of the helicoid, is a part of the wavy plane, and is a part of the Enneper surface.
Proof. Since , by Theorem 2, lifts to a minimal graph on for each . Applying this theorem yields the following representations of minimal graphs for :
which are hardly recognizable as representations of part of the helicoid, wavy plane, and Enneper’s surface, respectively. However, as in the proof of Theorem 3, applying the change of variables and again writing these representations can be expressed as
Comparing the transformed surface given in (16) with the parameterization of the helicoid in (2), we see that interchanging the second and third coordinates of in (16) and scaling by a factor of 4 give the formula for the helicoid given in (2). Since the formula in (2) extends into the right half plane, we see that is the same surface as . That is, is part of the helicoid. Similarly, interchanging the second and third coordinates of given in (17), scaling by a factor of 2, and a translation by a constant, we have the conjugate surface to given in (3). Since the conjugate surface of the wavy plane is itself, we see that is the same surface as . Hence, is part of the wavy plane. Finally, using the same approach as done for , is the same surface as , and so is part of the Enneper surface. See Figure 2 for an image of the surfaces , , and .
In general, for all , given in (9) lift to a minimal graph, and for and this graph is given by
Thus, as the parameter increases from 0 to 2, the minimal graphs transform continuously from the helicoid to the wavy plane and finally to the Enneper surface.
It is now evident that the surfaces constructed by Hengartner and Schober in [5] to obtain sharp bounds for curvature estimates are indeed related to those in Theorem 4. That is, the surface lying over the entire halfplane given by Hengartner and Schober is the conjugate to the surface given by in (14). As the wavy plane is conjugate to itself, we have now identified the surface in [5] as the wavy plane. Further, for the surface lying over the slit plane with a slit lying on the real axis constructed in [5], we now see it as a polynomial Enneper surface through the same change of variables and similar analysis as above.
With the results from Theorem 4 on the nature of the surface , , formed by lifting as given by (9) in Theorem 3, we use the following theorem which provides a connection between harmonic mappings, conjugate surfaces, and associated surfaces to provide the twoparameter family of minimal graphs as described in the introduction.
Theorem 5. Let with convex and . Define the harmonic function such that satisfies , , , and . For , define to be . Then lifts to a minimal graph on . Moreover, and are conjugate surfaces and for each , is an associated surface of .
Proof.
First, observe by Theorem 1, and maps onto a domain convex in the direction of the real axis. Second, for , and the dilatation of is . Thus, by this same theorem, we see that and maps onto domain convex in the direction of .
Since is simply a rotation of a univalent harmonic function, by Theorem 2, it is clear that lifts to a minimal graph . Moreover, for and ,
Thus, what remains to be shown is that and are conjugate surfaces. Using line (20), we see that the coordinate functions of are the imaginary parts of the analytic functions , , and , respectively, while the coordinate functions of are the real parts, respectively. Therefore, and satisfy the CauchyRiemann equations and are conjugate surfaces.
Notice that in the proof of Theorem 5, we have shown that if lifts to a minimal graph on and is convex, then lifts to the conjugate minimal graph on . By a similar approach, we see that for any , if on lifts to a minimal graph and is convex, then on will lift to its conjugate minimal graph.
Corollary 6. For and , define by where is defined by (9) and is normalized by . Then for each and , lifts to a minimal graph , and for each , and are conjugate surfaces.
Proof. For and , let be defined as in (21). Recall that, for and given by (7), is convex. This in conjunction with (9) and Theorem 5 allows for the construction of a twoparameter family of minimal graphs using the WeierstrassEnneper representation of Theorem 2 to lift . For a fixed , is given by the surfaces in (13), (14), and (19). Thus, for a fixed , as ranges from to , the surface transforms from associated surfaces of given in (13), (14), and (19) to the respective conjugate surface.
Problems for Further Investigation(1)As noted earlier, Theorem 2 states that a univalent harmonic map lifts to a minimal surface that is a graph. Nonetheless, a harmonic map with a perfect square dilatation always lifts to a minimal surface. There is just no guarantee that the surface is a graph over its domain. Thus, while we can only be certain for that as varies in , given in Corollary 6 lifts to a minimal graph, we conjecture that for there exists some for which , , is univalent and hence would lift to a minimal graph by Theorem 2. Further, it appears that as increases towards two, decreases towards zero. Table 1 summarizes some information relating the images of and the corresponding minimal surfaces for various values of and providing some evidence in support of the conjectures for .(2)Additionally, the family of harmonic mappings given in Theorem 3 can also be generalized by changing the dilatation to , . That is, for and , let , whereThe case is the basis of this paper. For the case and , it appears that the resulting minimal surface is a helicoid. It would be interesting to use the techniques from this paper to investigate the family of functions for .

Conflict of Interests
The authors declare that there is no conflict of interests regarding the publication of this paper.
Acknowledgments
This paper is an outgrowth of initial examples investigated by Amanda Curtis and Rachel Messick during the 2010 BYU REU supported by the NSF Grant DMS0755422. The second author thanks BYU for support as a Visiting Scholar in the spring of 2011.
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Copyright
Copyright © 2014 Michael Dorff and Stacey Muir. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.