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Mean curvature

Mean curvature 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 Mean curvature rather than just read about it. In short: In mathematics, the mean curvature H {\displaystyle H} of a surface S {\displaystyle S} is an extrinsic measure of curvature that comes from differential geometry and that locally describes the curvature of an embedded surface in some ambient space such as Euclidean space. The concept was used by Sophie Germain in her work on elasticity theory, published 1831.

Mean curvature — main illustration
Mean curvature — illustration

Key takeaways

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

Reference excerpt

In mathematics, the mean curvature H {\displaystyle H} of a surface S {\displaystyle S} is an extrinsic measure of curvature that comes from differential geometry and that locally describes the curvature of an embedded surface in some ambient space such as Euclidean space. The concept was used by Sophie Germain in her work on elasticity theory, published 1831. Jean Baptiste Marie Meusnier used it in 1776, in his studies of minimal surfaces. It is important in the analysis of minimal surfaces, which have mean curvature zero, and in the analysis of physical interfaces between fluids (such as soap films) which, for example, have constant mean curvature in static flows, by the Young–Laplace equation.

Definition Let p {\displaystyle p} be a point on the surface S {\displaystyle S} inside the three dimensional Euclidean space R3. Each plane through p {\displaystyle p} containing the normal line to S {\displaystyle S} cuts S {\displaystyle S} in a (plane) curve. Fixing a choice of unit normal gives a signed curvature to that curve. As the plane is rotated by an angle θ {\displaystyle \theta } (always containing the normal line) that curvature can vary. The maximal curvature κ 1 {\displaystyle \kappa _{1}} and minimal curvature κ 2 {\displaystyle \kappa _{2}} are known as the principal curvatures of S {\displaystyle S} . The mean curvature at p ∈ S {\displaystyle p\in S} is then the average of the signed curvature over all angles θ {\displaystyle \theta } :

H = 1 2 π ∫ 0 2 π κ ( θ ) d θ {\displaystyle H={\frac {1}{2\pi }}\int _{0}^{2\pi }\kappa (\theta )\;d\theta } . By applying Euler's theorem, this is equal to the average of the principal curvatures (Spivak 1999, Volume 3, Chapter 2):

H = 1 2 ( κ 1 + κ 2 ) . {\displaystyle H={1 \over 2}(\kappa _{1}+\kappa _{2}).}

More generally (Spivak 1999, Volume 4, Chapter 7), for a hypersurface T {\displaystyle T} the mean curvature is given as

H = 1 n ∑ i = 1 n κ i . {\displaystyle H={\frac {1}{n}}\sum _{i=1}^{n}\kappa _{i}.}

More abstractly, the mean curvature is the trace of the second fundamental form divided by n (or equivalently, the shape operator). Additionally, the mean curvature H {\displaystyle H} may be written in terms of the covariant derivative ∇ {\displaystyle \nabla } as

H n → = g i j ∇ i ∇ j X , {\displaystyle H{\vec {n}}=g^{ij}\nabla _{i}\nabla _{j}X,}

using the Gauss-Weingarten relations, where X ( x ) {\displaystyle X(x)} is a smoothly embedded hypersurface, n → {\displaystyle {\vec {n}}} a unit normal vector, and g i j {\displaystyle g_{ij}} the metric tensor. A surface is a minimal surface if and only if the mean curvature is zero. Furthermore, a surface which evolves under the mean curvature of the surface S {\displaystyle S} , is said to obey a heat-type equation called the mean curvature flow equation. The sphere is the only embedded surface of constant positive mean curvature without boundary or singularities. However, the result is not true when the condition "embedded surface" is weakened to "immersed surface".

Surfaces in 3D space For a surface defined in 3D space, the mean curvature is related to the divergence of a unit normal of the surface:

2 H = − ∇ ⋅ n ^ {\displaystyle 2H=-\nabla \cdot {\hat {n}}}

where the sign of the curvature depends on the choice of normal (inward or outward): the curvature is positive if the surface curves "towards" the normal. The formula above holds for surfaces in 3D space defined in any manner, as long as the divergence of the unit normal may be calculated. Mean curvature may also be calculated as

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Mean curvature

Start with the simplest possible case. Write down what Mean curvature 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 Mean curvature 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 Mean curvature 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 Mean curvature

In research
Mean curvature 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 Mean curvature 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
Mean curvature is common in secondary-school and first-year university syllabi. It links to neighbouring topics Curvature (mathematics), Differential geometry, Differential geometry of surfaces, so understanding it makes those chapters shorter.
In everyday life
Look for Mean curvature 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 Mean curvature in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Mean curvature 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 Mean curvature out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Mean curvature in simple terms?

In mathematics, the mean curvature H {\displaystyle H} of a surface S {\displaystyle S} is an extrinsic measure of curvature that comes from differential geometry and that locally describes the curvature of an embedded surface in some ambient space such as Euclidean space. The concept was used by S…

Why does Mean curvature 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 Mean curvature?

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 Mean curvature.

Tags

  • Curvature (mathematics)
  • Differential geometry
  • Differential geometry of surfaces
  • Surfaces

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