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Lecture 8: Surface Curvature and the Catenoid

Lecture 8: Surface Curvature and the Catenoid

Section titled “Lecture 8: Surface Curvature and the Catenoid”

Opening: From Soap Films to Engineering Marvels

Section titled “Opening: From Soap Films to Engineering Marvels”
  • Imagine: two parallel metal rings dipped in soap water. When gently separated, a beautiful surface forms between them—this is the catenoid.

  • This seemingly simple shape contains profound mathematical principles and plays important roles in modern engineering.

  • Today’s goal: understand how surfaces bend, and through calculating the catenoid’s curvature, reveal the perfect combination of mathematics and engineering.

Two “Rulers” for Measuring Surface Curvature

Section titled “Two “Rulers” for Measuring Surface Curvature”

For parameterized surface r(u,v)\vec{r}(u,v), the first fundamental form tells us how to measure distance on the surface:

I=Edu2+2Fdudv+Gdv2I = E du^2 + 2F du dv + G dv^2

Where: E=ruruE = \vec{r}_u \cdot \vec{r}_u, F=rurvF = \vec{r}_u \cdot \vec{r}_v, G=rvrvG = \vec{r}_v \cdot \vec{r}_v

Intuitive understanding: This gives a ruler to “2D ants” living on the surface, measuring distances, angles, and areas.

The second fundamental form measures the surface’s bending in 3D space:

II=Ldu2+2Mdudv+Ndv2II = L du^2 + 2M du dv + N dv^2

Where: L=ruunL = \vec{r}_{uu} \cdot \vec{n}, M=ruvnM = \vec{r}_{uv} \cdot \vec{n}, N=rvvnN = \vec{r}_{vv} \cdot \vec{n}

Intuitive understanding: This measures normal vector n\vec{n}‘s change rate—only the “3D god” can perceive it.

  • Gauss curvature: K=LNM2EGF2K = \frac{LN - M^2}{EG - F^2} (intrinsic property, bending paper doesn’t change it)
  • Mean curvature: H=EN2FM+GL2(EGF2)H = \frac{EN - 2FM + GL}{2(EG - F^2)} (extrinsic property, describes bending in space)
  • Gauss curvature formula’s origin:

    • Gauss in 1827 discovered: surface’s Gauss curvature equals the product of two principal curvatures: K=κ1κ2K = \kappa_1 \kappa_2
    • Principal curvatures are eigenvalues of shape operator S=I1IIS = I^{-1}II, and eigenvalues’ product equals the matrix determinant
    • Therefore: K=det(S)=det(I1II)=det(II)det(I)=LNM2EGF2K = \det(S) = \det(I^{-1}II) = \frac{\det(II)}{\det(I)} = \frac{LN - M^2}{EG - F^2}
    • This formula’s magic: though defined using embedding space, the result only depends on the first fundamental form!
  • Mean curvature formula’s origin:

    • Mean curvature is arithmetic mean of two principal curvatures: H=κ1+κ22H = \frac{\kappa_1 + \kappa_2}{2}
    • Sum of principal curvatures equals shape operator’s trace: κ1+κ2=tr(S)\kappa_1 + \kappa_2 = \text{tr}(S)
    • Shape operator’s trace through matrix calculation: tr(S)=tr(I1II)\text{tr}(S) = \text{tr}(I^{-1}II)
    • Calculation yields: H=12tr(S)=EN2FM+GL2(EGF2)H = \frac{1}{2}\text{tr}(S) = \frac{EN - 2FM + GL}{2(EG - F^2)}
    • Mean curvature describes the surface’s “outward bending” degree—an important concept in variational geometry

Principal Curvatures: The Key to Understanding Bending

Section titled “Principal Curvatures: The Key to Understanding Bending”
  • At any point on the surface, there are two special directions—principal directions
  • Along these directions, surface bending reaches extrema: κ1\kappa_1 (maximum bending) and κ2\kappa_2 (minimum bending)
  • These two principal curvatures completely determine the point’s bending properties

Euler’s Formula: Predicting Bending in Any Direction

Section titled “Euler’s Formula: Predicting Bending in Any Direction”

κn(θ)=κ1cos2θ+κ2sin2θ\boxed{\kappa_n(\theta) = \kappa_1 \cos^2\theta + \kappa_2 \sin^2\theta}

Meaning: Knowing principal curvatures, we can predict bending degree in any direction θ\theta.

  • Definition: Surface with mean curvature H=0H = 0, i.e., κ1+κ2=0\kappa_1 + \kappa_2 = 0
  • Physical meaning: Shape with minimum surface tension—soap film’s natural choice
  • History: First minimal surface discovered by Euler in 1744

Parametric equations (taking a=1a = 1 for simplified calculation):

r(u,v)=(coshvcosu,coshvsinu,v)\vec{r}(u,v) = (\cosh v \cos u, \cosh v \sin u, v)

Where u[0,2π]u \in [0, 2\pi], vRv \in \mathbb{R}.

Complete Curvature Calculation for the Catenoid

Section titled “Complete Curvature Calculation for the Catenoid”

ru=(coshvsinu,coshvcosu,0)rv=(sinhvcosu,sinhvsinu,1)ruu=(coshvcosu,coshvsinu,0)ruv=(sinhvsinu,sinhvcosu,0)rvv=(coshvcosu,coshvsinu,0)\begin{aligned} \vec{r}_u &= (-\cosh v \sin u, \cosh v \cos u, 0) \\ \vec{r}_v &= (\sinh v \cos u, \sinh v \sin u, 1) \\ \vec{r}_{uu} &= (-\cosh v \cos u, -\cosh v \sin u, 0) \\ \vec{r}_{uv} &= (-\sinh v \sin u, \sinh v \cos u, 0) \\ \vec{r}_{vv} &= (\cosh v \cos u, \cosh v \sin u, 0) \end{aligned}

E=ruru=cosh2vF=rurv=0G=rvrv=sinh2v+1=cosh2v\begin{aligned} E &= \vec{r}_u \cdot \vec{r}_u = \cosh^2 v \\ F &= \vec{r}_u \cdot \vec{r}_v = 0 \\ G &= \vec{r}_v \cdot \vec{r}_v = \sinh^2 v + 1 = \cosh^2 v \end{aligned}

ru×rv=(coshvcosu,coshvsinu,sinhvcoshv)ru×rv=cosh2vn=(cosu,sinu,sinhv)coshv\begin{aligned} \vec{r}_u \times \vec{r}_v &= (\cosh v \cos u, \cosh v \sin u, -\sinh v \cosh v) \\ |\vec{r}_u \times \vec{r}_v| &= \cosh^2 v \\ \vec{n} &= \frac{(\cos u, \sin u, -\sinh v)}{\cosh v} \end{aligned}

L=ruun=1M=ruvn=0N=rvvn=1coshv\begin{aligned} L &= \vec{r}_{uu} \cdot \vec{n} = -1 \\ M &= \vec{r}_{uv} \cdot \vec{n} = 0 \\ N &= \vec{r}_{vv} \cdot \vec{n} = \frac{1}{\cosh v} \end{aligned}

K=LNM2EGF2=(1)1coshvcosh4v=1cosh4v<0H=EN2FM+GL2(EGF2)=cosh2v1coshv+cosh2v(1)2cosh4v=0κ1=1cosh2v,κ2=1cosh2v\begin{aligned} K &= \frac{LN - M^2}{EG - F^2} = \frac{(-1) \cdot \frac{1}{\cosh v}}{\cosh^4 v} = \frac{-1}{\cosh^4 v} < 0 \\ H &= \frac{EN - 2FM + GL}{2(EG - F^2)} = \frac{\cosh^2 v \cdot \frac{1}{\cosh v} + \cosh^2 v \cdot (-1)}{2\cosh^4 v} = 0 \\ \kappa_1 &= \frac{1}{\cosh^2 v}, \quad \kappa_2 = -\frac{1}{\cosh^2 v} \end{aligned}

  • Minimal surface: H=0H = 0, minimum surface tension
  • Saddle shape: K=1cosh4v<0K = \frac{-1}{\cosh^4 v} < 0, every point bends in opposite directions
  • Perfect balance: κ1=1cosh2v\kappa_1 = \frac{1}{\cosh^2 v}, κ2=1cosh2v\kappa_2 = -\frac{1}{\cosh^2 v}, principal directions bend equally but opposite
  • Specific values:
    • At v=0v = 0 (thinnest waist): cosh0=1\cosh 0 = 1, so κ1=1\kappa_1 = 1, κ2=1\kappa_2 = -1, K=1K = -1
    • As v|v| increases, coshv\cosh v increases, principal curvatures’ absolute values decrease, surface becomes “flatter”
    • This explains the catenoid’s shape: most “bent” in middle, gradually flattening at ends
  • St. Louis Arch: World’s tallest arch, using catenary design principles
  • Thin-shell roofs: Catenoid-shaped roofs bear maximum load with minimum material
  • Advantages: Uniform stress distribution, avoiding stress concentration, improving structural stability
  • 3D printing: Lightweight structures using catenoid design
  • Aerospace: Wing designs borrowing catenoid’s optimization properties
  • Marine engineering: Offshore platform support structures using catenoid design
  • Materials science: Bubble walls in foam materials naturally form catenoids
  • Smart materials: Materials that can adaptively form catenoids
  • Biomedical: Artificial organ scaffolds using catenoid principles
  • Architectural revolution: Larger span, lighter weight building structures

Summary: Mathematical Beauty and Engineering Utility

Section titled “Summary: Mathematical Beauty and Engineering Utility”
  • Mathematics’ power: A simple condition (H=0H = 0) produces such rich geometric structure
  • Nature’s wisdom: Soap film “knows” how to find the optimal shape
  • Engineering applications: Understanding curvature becomes a powerful tool for solving real problems
  • Future bridge: Perfect combination of mathematics and engineering will create a better world
  1. Why do soap films always form catenoids? What’s the relationship with surface tension?
  2. If we change constant aa in the catenoid’s parametric equation, how does curvature change?
  3. Besides catenoids, what other minimal surfaces in nature can you think of?
  4. In architectural design, when would we choose catenoid structures?