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Minimal surface

Minimal surface is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Minimal surface rather than just read about it. In short: In mathematics, a minimal surface is a surface that locally minimizes its area. This is equivalent to having zero mean curvature (see definitions below).

Minimal surface — main illustration
Minimal surface — illustration

Key takeaways

  • Minimal surface belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Minimal surface to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Minimal surface from memory before moving on to harder problems.

Reference excerpt

In mathematics, a minimal surface is a surface that locally minimizes its area. This is equivalent to having zero mean curvature (see definitions below). The term "minimal surface" is used because these surfaces originally arose as surfaces that minimized total surface area subject to some constraint. Physical models of area-minimizing minimal surfaces can be made by dipping a wire frame into a soap solution, forming a soap film, which is a minimal surface whose boundary is the wire frame. However, the term is used for more general surfaces that may self-intersect or do not have constraints. For a given constraint there may also exist several minimal surfaces with different areas (for example, see minimal surface of revolution): the standard definitions only relate to a local optimum, not a global optimum.

Definitions

Minimal surfaces can be defined in several equivalent ways in R 3 {\displaystyle \mathbb {R} ^{3}} . The fact that they are equivalent serves to demonstrate how minimal surface theory lies at the crossroads of several mathematical disciplines, especially differential geometry, calculus of variations, potential theory, complex analysis and mathematical physics.

Local least area definition: A surface M ⊂ R 3 {\displaystyle M\subset \mathbb {R} ^{3}} is minimal if and only if every point p ∈ M has a neighbourhood, bounded by a simple closed curve, which has the least area among all surfaces having the same boundary. This property is local: there might exist regions in a minimal surface, together with other surfaces of smaller area which have the same boundary. This property establishes a connection with soap films; a soap film deformed to have a wire frame as boundary will minimize area.

Variational definition: A surface M ⊂ R 3 {\displaystyle M\subset \mathbb {R} ^{3}} is minimal if and only if it is a critical point of the area functional for all compactly supported variations. This definition makes minimal surfaces a 2-dimensional analogue to geodesics, which are analogously defined as critical points of the length functional.

Mean curvature definition: A surface M ⊂ R 3 {\displaystyle M\subset \mathbb {R} ^{3}} is minimal if and only if its mean curvature is equal to zero at all points. A direct implication of this definition is that every point on the surface is a saddle point with equal and opposite principal curvatures. Additionally, this makes minimal surfaces into the static solutions of mean curvature flow. By the Young–Laplace equation, the mean curvature of a soap film is proportional to the difference in pressure between the sides. If the soap film does not enclose a region, then this will make its mean curvature zero. By contrast, a spherical soap bubble encloses a region which has a different pressure from the exterior region, and as such does not have zero mean curvature.

Differential equation definition: A surface M ⊂ R 3 {\displaystyle M\subset \mathbb {R} ^{3}} formed by the image of a region X ⊂ R 2 {\displaystyle X\subset \mathbb {R} ^{2}} under function f : X → M {\displaystyle \mathbf {f} :X\to M} , ( x , y ) ↦ ( x , y , u ( x , y ) ) {\displaystyle (x,y)\mapsto (x,y,u(x,y))} , where u : X → R {\displaystyle u:X\to \mathbb {R} } is a real valued function, is minimal if and only if u {\displaystyle u} satisfies

( 1 + u x 2 ) u y y − 2 u x u y u x y + ( 1 + u y 2 ) u x x = 0 {\displaystyle (1+u_{x}^{2})u_{yy}-2u_{x}u_{y}u_{xy}+(1+u_{y}^{2})u_{xx}=0}

… excerpt ends here. Continue reading the full article.

Illustrations

Minimal surface: A helicoid minimal surface formed by a soap film on a helical frame
A helicoid minimal surface formed by a soap film on a helical frame
Minimal surface: Saddle tower minimal surface. While any small change of the surface increases its area, there exist other surfaces with the same boundary with a smaller total area.
Saddle tower minimal surface. While any small change of the surface increases its area, there exist other surfaces with the same boundary with a smaller total area.
Minimal surface: Minimal surface curvature planes.  On a minimal surface, the curvature along the principal curvature planes are equal and opposite at every point. This makes the mean curvature zero.
Minimal surface curvature planes. On a minimal surface, the curvature along the principal curvature planes are equal and opposite at every point. This makes the mean curvature zero.
Minimal surface: Costa's minimal surface
Costa's minimal surface
Minimal surface: Circus tent approximates a minimal surface.
Circus tent approximates a minimal surface.

Worked examples

Example 1 — a first encounter with Minimal surface

Start with the simplest possible case. Write down what Minimal surface claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Minimal surface before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Minimal surface ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Minimal surface

In research
Minimal surface appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Minimal surface in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Minimal surface is common in secondary-school and first-year university syllabi. It links to neighbouring topics Differential geometry, Differential geometry of surfaces, Minimal surfaces, so understanding it makes those chapters shorter.
In everyday life
Look for Minimal surface outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Minimal surface in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Minimal surface means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Minimal surface out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Minimal surface in simple terms?

In mathematics, a minimal surface is a surface that locally minimizes its area. This is equivalent to having zero mean curvature (see definitions below).

Why does Minimal surface matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Minimal surface?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Minimal surface.

Tags

  • Differential geometry
  • Differential geometry of surfaces
  • Minimal surfaces

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