Horizontal curvatures of surfaces in 3D contact sub-Riemannian Lie groups

This paper employs a Riemannian approximation scheme to derive explicit formulas for horizontal curvatures and symplectic distortion of surfaces in 3D contact sub-Riemannian Lie groups, specifically classifying surfaces of revolution with constant curvatures in the Heisenberg and affine-additive groups.

Elia Bubani, Andrea Pinamonti, Ioannis D. Platis, Dimitrios Tsolis

Published Tue, 10 Ma
📖 5 min read🧠 Deep dive

Imagine you are walking through a very strange, magical city. In this city, you are not allowed to walk in any direction you please. You can only walk forward, backward, left, or right along specific "highways" painted on the ground. If you try to walk diagonally or sideways across the street, you simply can't; the laws of physics (or in this case, the geometry) forbid it.

This is the world of Sub-Riemannian Geometry. It's a place where movement is constrained, like a car that can only drive forward or turn, but never slide sideways.

The paper you provided is a mathematical expedition into this constrained world, specifically looking at surfaces (like the skin of a balloon or the side of a hill) inside a 3D version of this city. The authors want to answer a fundamental question: How do we measure the "curvature" (how bent or twisted a surface is) when we are forced to move only along these specific highways?

Here is a breakdown of their journey using simple analogies:

1. The Problem: The "Slippery" Surface

In normal geometry (like on a beach ball), measuring curvature is easy. You can roll a marble in any direction, and it tells you how the surface bends.

But in this "magical city" (the Contact Sub-Riemannian Lie Groups), the surface has a special "slippery" property. There are points where the surface aligns perfectly with the allowed highways. At these points, the usual way of measuring curvature breaks down. It's like trying to measure the slope of a hill using a compass that only works if you are walking North; if you are standing still or facing East, the compass spins wildly and gives you no information.

The authors needed a new way to measure curvature that works even when the surface is "aligned" with the city's traffic rules.

2. The Solution: The "Slow-Motion" Camera

To solve this, the authors used a clever trick called Riemannian Approximation.

Imagine you are trying to measure the speed of a race car, but your camera is too slow to capture it clearly. So, you decide to film the race in slow motion.

  • The Trick: They imagined that the "forbidden" sideways movement wasn't impossible, but just extremely expensive or very slow. They introduced a "speed dial" (a parameter called ϵ\epsilon).
  • The Process:
    1. They turned the dial up, making sideways movement possible but very difficult (like driving through deep mud).
    2. They calculated the curvature using standard math (which works fine in the mud).
    3. Then, they slowly turned the dial down, making the mud thinner and thinner, until sideways movement became impossible again.
    4. By watching what happened to the numbers as the mud disappeared, they found the "true" curvature that exists in the constrained world.

This allowed them to derive new formulas for Horizontal Mean Curvature (how much the surface bends on average) and Horizontal Gaussian Curvature (how the surface twists and turns).

3. The Two Main Cities (Examples)

The authors tested their new formulas in two specific "cities" (mathematical groups):

  • The Heisenberg Group: Think of this as a city where the "highways" twist around a central vertical pole (like a spiral staircase). If you walk in a circle around the pole, you actually end up at a different height than where you started. This is a classic model for quantum mechanics and robotics.
  • The Affine-Additive Group: This is a different kind of city, more like a landscape that stretches and shrinks as you move. It's related to how we model hyperbolic space (like the inside of a saddle).

4. The Discoveries: Shapes with Constant Curvature

Once they had their new rulers, they asked: "What do surfaces look like if they have a constant curvature in this weird world?"

In normal geometry, a sphere has constant curvature everywhere. In these constrained cities, the shapes are much stranger.

  • The "Bubbles": They found shapes that look like bubbles, but their profiles are described by complex mathematical curves (elliptic integrals).
  • The "Flasks": In the second city, they found shapes that look like flasks or bottles, which are formed by the paths of shortest travel (geodesics).
  • The "Rotating" Surfaces: They classified all the surfaces of revolution (shapes made by spinning a curve around an axis) that have constant curvature. They found that these shapes can be described using specific equations, some of which involve elementary math and others involving more complex "elliptic" math.

5. Why Does This Matter?

You might wonder, "Who cares about math in a city where you can't walk sideways?"

  • Robotics: Robots often have constraints (like a car that can't slide). Understanding the geometry of their movement helps engineers design better paths.
  • Physics: This geometry appears in quantum mechanics and the study of heat diffusion in strange environments.
  • Economics & Control Theory: Many real-world problems involve optimizing a path under strict constraints.

The Takeaway

The authors of this paper built a new "ruler" for a world where movement is restricted. They showed that even in a world with strict traffic laws, surfaces still have a shape, a bend, and a twist. By using a "slow-motion" mathematical trick, they were able to map out these shapes, discovering new types of "bubbles" and "flasks" that only exist in this constrained universe.

In short: They taught us how to measure the curve of a surface when you are only allowed to walk in a straight line or turn, but never slide.