§8.1 Gaussian Curvature of a Surface
8.1 Gaussian Curvature of a Surface
We will give a brief introduction to the curvature of a surface for heuristic intuition.
Suppose is a region, and let . Consider a surface parameterized via
where . If never vanishes for , then defines a smooth surface . For a fixed , the vectors and form the basis of the tangent space (a plane) of at , denoted by .
The square of the length of the vector infinitesimal , or
is known as the first fundamental form of , where , , and .
Let be near . It follows that . The distance between and is , where . By application of the multivariate Taylor’s Theorem, we have
and therefore,
where the first two linear terms vanished by properties of the scalar triple product. Omitting the higher order terms and the coefficient, the second fundamental form of is defined as
where , , and . Since and , by differentiation, we have
It follows that , , and . Because ,
The second fundamental form, in a rough sense, measures the curvature of the surface at (refer to Figure 8.1). Both the first and second fundamental forms are geometric invariants; they are independent of the parameterization of . The first fundamental form is also referred to as the intrinsic metric (we will not delve into the metric tensor here) of , and the second fundamental form is an extrinsic property of as it is invariant up to the orientation of the surface (consequent direction of the normal vector).
Let be a curve parameterized by arc length, . Then the unit tangent vector at is
Consequently,
where the last two terms are in . Because for all by the arc-length parameterization, we have
Hence, and are orthogonal and is a normal to the curve . Let be the unit normal to at . The normal curvature of at in is defined as
The quotient
varies depending on the curve traversing (and ultimately, depending on the direction induced by and ). On , the two representations are equivalent since . The maximum and minimum values of are known as the principal curvatures and of at , achieved along the principal directions of the (unit) tangent vectors at .
The mean curvature of at is defined to be . Let be the radii of curvature corresponding to and . The product of the two principal curvatures is known as the Gaussian curvature of at , denoted by . We will now heuristically derive the explicit formulas for and in terms of .
Suppose . Adopt the matrix notation of , as in
to reduce to the optimization problem of
We may restrict so that the denominator is always , aiming to optimize the numerator. By the method of Lagrange multipliers, we write
The equation for can then be decomposed into (where ):
The first two equations can be written as
Let the matrix on the left be denoted by . In order for non-trivial to exist, we must have . That is,
This is a quadratic giving two solutions for . From
it is apparent that the roots . Moreover, from (8.1.3) we have
Hence, the two roots are precisely the principal curvatures. Vieta’s formulas give that
Now, assume a parameterization of by (thrice continuously differentiable) such that
(which we will later formalize as a conformal metric). Then there is an alternate representation of the Gaussian curvature in terms of .
By definition, while . Moreover,
Similarly,
By differentiation of the equations
we have
and
Substituting (8.1.5) into (8.1.4) then gives
Differentiating these give
Differentiating the inner two expressions of (8.1.5), we have
It follows that
where here is . Then
and
Combining the two expressions, we have
To understand the motivation for which is said to be conformal, consider two curves in the -plane, parameterized by and such that . Their images via are and so that they intersect at some point . Let and be two tangent vectors. Then the corresponding vectors in are
and
Since1 , and , . Then
The angle between and on the -plane satisfies
while the angle between the two tangent vectors in satisfies