This chapter has a dual purpose: first to apply the theory of curvature to Riemannian submanifolds, and then to use these concepts to derive a precise quantitative interpretation of the curvature tensor.
After introducing some basic definitions and terminology concerning Riemannian submanifolds, we define a vector-valued bilinear form called the second fundamental form, which measures the way a submanifold curves within the ambient manifold. We then prove the fundamental relationships between the intrinsic and extrinsic geometries of a submanifold, including the Gauss formula, which relates the Riemannian connection on the submanifold to that of the ambient manifold, and the Gauss equation, which relates their curvatures. We then show how the second fundamental form measures the extrinsic curvature of submanifold geodesics.
Using these tools, we focus on the special case of hypersurfaces, and use the second fundamental form to define some real-valued curvature quantities called the principal curvatures, mean curvature, and Gaussian curvature. Specializing even more to hypersurfaces in Euclidean space, we describe various concrete geometric interpretations of these quantities. Then we prove Gauss’s Theorema Egregium, which shows that the Gaussian curvature of a surface in can be computed intrinsically from the curvature tensor of the induced metric.
In the last section, we introduce the promised quantitative geometric interpretation of the curvature tensor. It allows us to compute sectional curvatures, which are just the Gaussian curvatures of 2-dimensional submanifolds swept out by geodesics tangent to 2-planes in the tangent space. Finally, we compute the sectional curvatures of our frame-homogeneous model Riemannian manifolds—Euclidean spaces, spheres, and hyperbolic spaces.
The Second Fundamental Form
Suppose (M, g) is a Riemannian submanifold of a Riemannian manifold . Recall that this means that M is a submanifold of
endowed with the induced metric
(where
is the inclusion map). Our goal in this chapter is to study the relationship between the geometry of M and that of
.
Although we focus our attention in this chapter on embedded submanifolds for simplicity, the results we present are all local, so they apply in much greater generality. In particular, if is an immersed submanifold, then every point of M has a neighborhood in M that is embedded in
, so the results of this chapter can be applied by restricting to such a neighborhood. Even more generally, if (M, g) is any Riemannian manifold and
is an isometric immersion (meaning that
), then again every point
has a neighborhood
such that
is an embedding, so the results apply to
. We leave it to the reader to sort out the minor modifications in notation and terminology needed to handle these more general situations.
The results in the first section of this chapter apply virtually without modification to Riemannian submanifolds of pseudo-Riemannian manifolds (ones on which the induced metric is positive definite), so we state most of our theorems in that case. Recall that when the ambient metric is indefinite, this includes the assumption that the induced metric
is positive definite. Some of the results can also be extended to pseudo-Riemannian submanifolds of mixed signature, but there are various pitfalls to watch out for in that case; so for simplicity we restrict to the case of Riemannian submanifolds. See [dC92] for a thorough treatment of pseudo-Riemannian submanifolds.
Also, most of these results can be adapted to manifolds and submanifolds with boundary, simply by embedding everything in slightly larger manifolds without boundary, but one might need to be careful about the statements of some of the results when the submanifold intersects the boundary. Since the interaction of submanifolds with boundaries is not our primary concern here, for simplicity we state all of these results in the case of empty boundary only.
Throughout this chapter, therefore, we assume that is a Riemannian or pseudo-Riemannian manifold of dimension m, and (M, g) is an embedded n-dimensional Riemannian submanifold of
. We call
the ambient manifold. We will denote covariant derivatives and curvatures associated with (M, g) in the usual way (
, R,
, etc.), and write those associated with
with tildes (
,
,
, etc.). We can unambiguously use the inner product notation
to refer either to g or to
, since g is just the restriction of
to pairs of vectors in TM.























The second fundamental form
The term first fundamental form , by the way, was originally used to refer to the induced metric g on M. Although that usage has mostly been replaced by more descriptive terminology, we seem unfortunately to be stuck with the name “second fundamental form.” The word “form” in both cases refers to bilinear form, not differential form.
Proposition 8.1
(Properties of the Second Fundamental Form). Suppose (M, g) is an embedded Riemannian submanifold of a Riemannian or pseudo-Riemannian manifold , and let
.
- (a)
is independent of the extensions of X and Y to an open subset of
.
- (b)
is bilinear over
in X and Y.
- (c)
is symmetric in X and Y.
- (d)
The value of
at a point
depends only on
and
.
Proof.



![$$\begin{aligned} \mathrm {II}(X,Y) - \mathrm {II}(Y,X) = \big ({\tilde{\nabla }}_XY - {\tilde{\nabla }}_YX\big )^\perp =[X, Y]^\perp . \end{aligned}$$](../images/56724_2_En_8_Chapter/56724_2_En_8_Chapter_TeX_Equ33.png)
![$$[X, Y]^\perp =0$$](../images/56724_2_En_8_Chapter/56724_2_En_8_Chapter_TeX_IEq67.png)

Because depends only on
, it follows that the value of
at p depends only on
, and in particular is independent of the extension chosen for X. Because
is linear over
in X, and every
can be extended to a smooth function on a neighborhood of M in
, it follows that
is linear over
in X. By symmetry, the same claims hold for Y.
As a consequence of the preceding proposition, for every and all vectors
, it makes sense to interpret
as the value of
at p, where V and W are any vector fields on M such that
and
, and we will do so from now on without further comment.
We have not yet identified the tangential term in the decomposition of . Proposition 5.12(b) showed that in the special case of a submanifold of a Euclidean or pseudo-Euclidean space, it is none other than the covariant derivative with respect to the Levi-Civita connection of the induced metric on M. The following theorem shows that the same is true in the general case. Therefore, we can interpret the second fundamental form as a measure of the difference between the intrinsic Levi-Civita connection on M and the ambient Levi-Civita connection on
.
Theorem 8.2




Proof.
Because of the decomposition (8.1) and the definition of the second fundamental form, it suffices to show that at all points of M.







The Gauss formula can also be used to compare intrinsic and extrinsic covariant derivatives along curves. If is a smooth curve and X is a vector field along
that is everywhere tangent to M, then we can regard X as either a vector field along
in
or a vector field along
in M. We let
and
denote its covariant derivatives along
as a curve in
and as a curve in M, respectively. The next corollary shows how the two covariant derivatives are related.
Corollary 8.3




Proof.


















Proposition 8.4





Proof.







In addition to describing the difference between the intrinsic and extrinsic connections, the second fundamental form plays an even more important role in describing the difference between the curvature tensors of and M. The explicit formula, also due to Gauss, is given in the following theorem.
Theorem 8.5



Proof.

![$$\begin{aligned} \begin{aligned} \widetilde{ Rm }(W,X,Y,Z)&= \langle {\tilde{\nabla }}_W{\tilde{\nabla }}_X Y - {\tilde{\nabla }}_X{\tilde{\nabla }}_W Y - {\tilde{\nabla }}_{[W,X]}Y,\ Z\rangle \\&= \langle {\tilde{\nabla }}_W(\nabla _X Y+\mathrm {II}(X,Y)) - {\tilde{\nabla }}_X(\nabla _W Y+\mathrm {II}(W,Y)) \\&\qquad - {\tilde{\nabla }}_{[W, X]}Y,\ Z\rangle . \end{aligned} \end{aligned}$$](../images/56724_2_En_8_Chapter/56724_2_En_8_Chapter_TeX_Equ39.png)



![$$\begin{aligned} \begin{aligned} \widetilde{ Rm }(W,X,Y,Z)&= \big \langle {\tilde{\nabla }}_W\nabla _X Y,Z\big \rangle -\big \langle \mathrm {II}(X,Y),\mathrm {II}(W,Z)\big \rangle \\&\quad -\big \langle {\tilde{\nabla }}_X\nabla _W Y,Z\big \rangle +\big \langle \mathrm {II}(W,Y),\mathrm {II}(X,Z)\big \rangle - \big \langle {\tilde{\nabla }}_{[W,X]}Y, Z\big \rangle . \end{aligned} \end{aligned}$$](../images/56724_2_En_8_Chapter/56724_2_En_8_Chapter_TeX_Equ40.png)



There is one other fundamental submanifold equation, which relates the normal part of the ambient curvature endomorphism to derivatives of the second fundamental form. We will not have need for it, but we include it here for completeness. To state it, we need to introduce a connection on the normal bundle of a Riemannian submanifold.




Proposition 8.6.






Exercise 8.7. Prove the preceding proposition.








Exercise 8.8. Prove that
is a connection in F.
Now we are ready to state the last of the fundamental equations for submanifolds. This equation was independently discovered (in the special case of surfaces in ) by Karl M. Peterson (1853), Gaspare Mainardi (1856), and Delfino Codazzi (1868–1869), and is sometimes designated by various combinations of these three names. For the sake of simplicity we use the traditional but historically inaccurate name Codazzi equation.
Theorem 8.9



Proof.

![$$\begin{aligned} \widetilde{ Rm }(W,X,Y,N)&= \big <{\tilde{\nabla }}_W\big (\nabla _X Y+\mathrm {II}(X,Y)\big ) - {\tilde{\nabla }}_X\big (\nabla _W Y+\mathrm {II}(W,Y)\big ) \\&\qquad - {\tilde{\nabla }}_{[W, X]}Y,\ N\big \rangle . \end{aligned}$$](../images/56724_2_En_8_Chapter/56724_2_En_8_Chapter_TeX_Equ44.png)
![$$\begin{aligned} \widetilde{ Rm }&\left( W,X,Y,N\right) \\&= \big \langle \mathrm {II}\left( W,\nabla _X Y\right) +\left( \nabla ^F_W\mathrm {II}\right) \left( X,Y\right) + \mathrm {II}\left( \nabla _WX,Y\right) + \mathrm {II}\left( X,\nabla _W Y\right) ,\ N\big \rangle \\&\quad - \big \langle \mathrm {II}\left( X,\nabla _W Y\right) +\left( \nabla ^F_X\mathrm {II}\right) \left( W,Y\right) + \mathrm {II}\left( \nabla _XW,Y\right) + \mathrm {II}\left( W,\nabla _X Y\right) ,\ N\big \rangle \\&\quad -\big \langle \mathrm {II}\left( [W,X], Y\right) ,\ N\big \rangle . \end{aligned}$$](../images/56724_2_En_8_Chapter/56724_2_En_8_Chapter_TeX_Equ45.png)


![$$\nabla _WX - \nabla _XW -[W, X]=0$$](../images/56724_2_En_8_Chapter/56724_2_En_8_Chapter_TeX_IEq170.png)

Curvature of a Curve











From the definition, it follows that a smooth unit-speed curve has vanishing geodesic curvature if and only if it is a geodesic, so the geodesic curvature of a curve can be regarded as a quantitative measure of how far it deviates from being a geodesic. If with the Euclidean metric, the geodesic curvature agrees with the notion of curvature introduced in advanced calculus courses.
Now suppose is a Riemannian or pseudo-Riemannian manifold and (M, g) is a Riemannian submanifold. Every regular curve
has two distinct geodesic curvatures: its
intrinsic curvature
as a curve in M, and its
extrinsic curvature
as a curve in
. The second fundamental form can be used to compute the relationship between the two.
Proposition 8.10
(Geometric Interpretation of ). Suppose (M, g) is an embedded Riemannian submanifold of a Riemannian or pseudo-Riemannian manifold
,
, and
.
- (a)
is the
-acceleration at p of the g-geodesic
.
- (b)
If v is a unit vector, then
is the
-curvature of
at p.
Proof.









Note that the second fundamental form is completely determined by its values of the form for unit vectors v, by the following lemma.
Lemma 8.11.
Suppose V is an inner product space, W is a vector space, and are symmetric and bilinear. If
for every unit vector
, then
.
Proof.






Because the intrinsic and extrinsic accelerations of a curve are usually different, it is generally not the case that a -geodesic that starts tangent to M stays in M; just think of a sphere in Euclidean space, for example. A Riemannian submanifold (M, g) of
is said to be totally geodesic if every
-geodesic that is tangent to M at some time
stays in M for all t in some interval
.
Proposition 8.12.

- (a)
M is totally geodesic in
.
- (b)
Every g-geodesic in M is also a
-geodesic in
.
- (c)
The second fundamental form of M vanishes identically.
Proof.


























Next assume that every g-geodesic is a -geodesic. Let
and
be arbitrary, and let
be the g-geodesic with
and
. The hypothesis implies that
is also a
-geodesic. Thus
, so the Gauss formula yields
along
. In particular,
. By Lemma 8.11, this implies that
is identically zero.
Finally, assume that , and let
be a
-geodesic such that
and
for some
. Let
be the g-geodesic with the same initial conditions:
and
. The Gauss formula together with the hypothesis
implies that
, so
is also a
-geodesic. By uniqueness of geodesics, therefore,
on the intersection of their domains, which implies that
lies in M for t in some open interval around
.
Hypersurfaces
Now we specialize the preceding considerations to the case in which M is a hypersurface (i.e., a submanifold of codimension 1) in . Throughout this section, our default assumption is that (M, g) is an embedded n-dimensional Riemannian submanifold of an
-dimensional Riemannian manifold
. (The analogous formulas in the pseudo-Riemannian case are a little different; see Problem 8-19.)
In this situation, at each point of M there are exactly two unit normal vectors. In terms of any local adapted orthonormal frame , the two choices are
. In a small enough neighborhood of each point of M, therefore, we can always choose a smooth unit normal vector field along M.
If both M and are orientable, we can use an orientation to pick out a global smooth unit normal vector field along all of M. In general, though, this might or might not be possible. Since all of our computations in this chapter are local, we will always assume that we are working in a small enough neighborhood that a smooth unit normal field exists. We will address as we go along the question of how various quantities depend on the choice of normal vector field.
The Scalar Second Fundamental Form and the Shape Operator




















Theorem 8.13
(Fundamental Equations for a Hypersurface). Suppose (M, g) is a Riemannian hypersurface in a Riemannian manifold , and N is a smooth unit normal vector field along M.
- (a)The Gauss Formula for a Hypersurface: If
are extended to an open subset of
, then
- (b)The Gauss Formula for a Curve in a Hypersurface: If
is a smooth curve and
is a smooth vector field along
, then
- (c)The Weingarten Equation for a Hypersurface: For every
,
(8.11) - (d)The Gauss Equation for a Hypersurface: For all
,
- (e)The Codazzi Equation for a Hypersurface: For all
,
(8.12)
Proof.
Parts (a), (b), and (d) follow immediately from substituting (8.10) into the general versions of the Gauss formula and Gauss equation. To prove (c), note first that the general version of the Weingarten equation can be written . Since
, it follows that
is tangent to M, so (c) follows.





Principal Curvatures
At
every point , we have seen that the shape operator s is a self-adjoint linear endomorphism of the tangent space
. To analyze such an operator, we recall some linear-algebraic facts about self-adjoint endomorphisms.
Lemma 8.14.
Suppose V is a finite-dimensional inner product space and is a self-adjoint linear endomorphism. Let C denote the set of unit vectors in V. There is a vector
where the function
achieves its maximum among elements of C, and every such vector is an eigenvector of s with eigenvalue
.
Exercise 8.15. Use the Lagrange multiplier rule (Prop. A.29) to prove this lemma.
Proposition 8.16
(Finite-Dimensional Spectral Theorem). Suppose V is a finite-dimensional inner product space and is a self-adjoint linear endomorphism. Then V has an orthonormal basis of s-eigenvectors, and all of the eigenvalues are real.
Proof.
The proof is by induction on . The
result is easy, so assume that the theorem holds for some
and suppose
. Lemma 8.14 shows that s has a unit eigenvector
with a real eigenvalue
. Let
be the span of
. Since
, self-adjointness of s implies
. The inductive hypothesis applied to
implies that
has an orthonormal basis
of s-eigenvectors with real eigenvalues, and then
is the desired basis of V.














Computations in Semigeodesic Coordinates
Semigeodesic coordinates (Prop. 6.41) provide an extremely convenient tool for computing the invariants of hypersurfaces.

















As the next proposition shows, semigeodesic coordinates give us a simple formula for the second fundamental forms of all of the submanifolds at once.
Proposition 8.17.





Proof.













Minimal Hypersurfaces
A natural question that has received a great deal of attention over the past century is this: Given a simple closed curve C in , is there an embedded or immersed surface M with
that has least area among all surfaces with the same boundary? If so, what is it? Such surfaces are models of the soap films that are produced when a closed loop of wire is dipped in soapy water.
More generally, we can consider the analogous question for hypersurfaces in Riemannian manifolds. Suppose M is a compact codimension-1 submanifold with nonempty boundary in an -dimensional Riemannian manifold
. By analogy with the case of surfaces in
, it is traditional to use the term area to refer to the n-dimensional volume of M with its induced Riemannian metric, and to say that M is area-minimizing if it has the smallest area among all compact embedded hypersurfaces in
with the same boundary. One key observation is the following theorem, which is an analogue for hypersurfaces of Theorem 6.4 about length-minimizing curves.
Theorem 8.18.
Let M be a compact codimension-1 submanifold with nonempty boundary in an -dimensional Riemannian manifold
. If M is area-minimizing, then its mean curvature is identically zero.
Proof.
Let g denote the induced metric on M. The fact that M minimizes area among hypersurfaces with the same boundary means, in particular, that it minimizes area among small perturbations of M in a neighborhood of a single point. We will exploit this idea to prove that M must have zero mean curvature everywhere.


![$${\smash [t]{\tilde{U}}}\subseteq {{\widetilde{M}}}$$](../images/56724_2_En_8_Chapter/56724_2_En_8_Chapter_TeX_IEq391.png)
![$$U = {\smash [t]{\tilde{U}}}\cap M$$](../images/56724_2_En_8_Chapter/56724_2_En_8_Chapter_TeX_IEq392.png)
![$${\smash [t]{\tilde{U}}}$$](../images/56724_2_En_8_Chapter/56724_2_En_8_Chapter_TeX_IEq393.png)
![$${\smash [t]{\tilde{U}}}\cap \partial M=\varnothing $$](../images/56724_2_En_8_Chapter/56724_2_En_8_Chapter_TeX_IEq394.png)


The hypersurface






![$${\smash [t]{\tilde{U}}}$$](../images/56724_2_En_8_Chapter/56724_2_En_8_Chapter_TeX_IEq402.png)
![$$f_t:U\mathrel {\rightarrow }{\smash [t]{\tilde{U}}}$$](../images/56724_2_En_8_Chapter/56724_2_En_8_Chapter_TeX_IEq403.png)
![$$M_t\cap {\smash [t]{\tilde{U}}}$$](../images/56724_2_En_8_Chapter/56724_2_En_8_Chapter_TeX_IEq404.png)










































Now suppose for the sake of contradiction that . If
, we can let
be a smooth nonnegative bump function that is positive at p and supported in a small neighborhood of p on which
. The argument above shows that
, which is impossible because the integrand is nonnegative on U and positive on an open set. A similar argument rules out
. Since p was an arbitrary point in
, we conclude that
on
, and then by continuity on all of M.
Because of the result of Theorem 8.18, a hypersurface (immersed or embedded, with or without boundary) that has mean curvature identically equal to zero is called a minimal hypersurface (or a minimal surface when it has dimension 2). It is an unfortunate historical accident that the term “minimal hypersurface” is defined in this way, because in fact, a minimal hypersurface is just a critical point for the area, not necessarily area-minimizing. It can be shown that as in the case of geodesics, a small enough piece of every minimal hypersurface is area-minimizing.
As a complement to the above theorem about hypersurfaces that minimize area with fixed boundary, we have the following result about hypersurfaces that minimize area while enclosing a fixed volume.
Theorem 8.19.
Suppose is a Riemannian
-manifold,
is a compact regular domain, and
. If M has the smallest surface area among boundaries of compact regular domains with the same volume as D, then M has constant mean curvature (computed with respect to the outward unit normal).
Proof.
Let g denote the induced metric on M. Assume for the sake of contradiction that the mean curvature H of M is not constant, and let be points such that
.
Since M is compact, it has an -tubular neighborhood for some
by Theorem 5.25. As in the previous proof, let
be Fermi coordinates for M on an open set
containing p, and let
. We may assume that U is a regular coordinate ball in M and the image of the chart is a set of the form
for some open subset
. Similarly, let
be Fermi coordinates for M on an open set
containing q and satisfying the analogous conditions, and let
. By replacing v with its negative if necessary, we can arrange that
is the set where
, and similarly for w. Also, by shrinking both domains, we can assume that the mean curvature of M satisfies
on U and
on W, where
are constants such that
.


















The domain



![$${\smash [t]{\tilde{U}}}$$](../images/56724_2_En_8_Chapter/56724_2_En_8_Chapter_TeX_IEq489.png)
![$$\begin{aligned} \frac{\partial V}{\partial s}(0,0)&= \left. \frac{d}{d s}\right| _{s=0}\mathrm{Vol}\big (D_{s, 0}\cap {\smash [t]{\tilde{U}}}\big )\\&= \left. \frac{d}{d s}\right| _{s=0}\int _{U}\left( \int _{-\varepsilon }^{s\varphi (x)}\sqrt{\det {\tilde{g}}(x,v)}\, dv\right) dx^1\cdots dx^n\\&= \int _{U}\left( \left. \frac{d}{d s}\right| _{s=0}\int _{-\varepsilon }^{s\varphi (x)}\sqrt{\det {\tilde{g}}(x,v)}\, dv\right) dx^1\cdots dx^n\\&= \int _{U} \varphi (x) \sqrt{\det {\tilde{g}}(x, 0)}\, dx^1\cdots dx^n = \int _U \varphi \, dV_g =1, \end{aligned}$$](../images/56724_2_En_8_Chapter/56724_2_En_8_Chapter_TeX_Equ65.png)














We do not pursue minimal or constant-mean-curvature hypersurfaces any further in this book, but you can find a good introductory treatment in [CM11].
Hypersurfaces in Euclidean Space
Now we specialize even further, to hypersurfaces in Euclidean space. In this section, we assume that is an embedded n-dimensional submanifold with the induced Riemannian metric. The Euclidean metric will be denoted as usual by
, and covariant derivatives and curvatures associated with
will be indicated by a bar. The induced metric on M will be denoted by g.







Exercise 8.20. Show that a smooth 2-tensor field h on a Riemannian manifold is a Codazzi tensor if and only if both h and
are symmetric.


Geometric interpretation of h(v, v)
In the setting of a hypersurface , we can give some very concrete geometric interpretations of the quantities we have defined so far. We begin with curves. For every unit vector
, let
be the g-geodesic in M with initial velocity v. Then the Gauss formula shows that the ordinary Euclidean acceleration of
at 0 is
(Fig. 8.4). Thus |h(v, v)| is the Euclidean curvature of
at 0, and
if and only if
points in the same direction as
. In other words, h(v, v) is positive if
is curving in the direction of
, and negative if it is curving away from
.
The next proposition shows that this Euclidean curvature can be interpreted in terms of the radius of the “best circular approximation,” as mentioned in Chapter 1.
Proposition 8.21.
Suppose is a unit-speed curve,
, and
.
- (a)
There is a unique unit-speed parametrized circle
, called the osculating circle at
, with the property that c and
have the same position, velocity, and acceleration at
.
- (b)
The Euclidean curvature of
at
is
, where R is the radius of the osculating circle.
Proof.







Exercise 8.22. Complete the proof of the preceding proposition by proving uniqueness of the osculating circle.
Computations in Euclidean Space
When we wish to compute the invariants of a Euclidean hypersurface , it is usually unnecessary to go to all the trouble of computing Christoffel symbols. Instead, it is usually more effective to use either a defining function or a parametrization to compute the scalar second fundamental form, and then use (8.21) to compute the curvature. Here we describe several contexts in which this computation is not too hard.











Once these vector fields are computed, a unit normal field can be computed as follows: Choose any coordinate vector field that is not contained in
(there will always be one, at least in a neighborhood of each point). Then apply the Gram–Schmidt algorithm to the local frame
along M to obtain an adapted orthonormal frame
. The two choices of unit normal are
.
The next proposition gives a formula for the second fundamental form that is often easy to use for computation.
Proposition 8.23.




Proof.















Here is an application of this formula: it shows how the principal curvatures give a concise description of the local shape of an embedded hypersurface by approximating the surface with the graph of a quadratic function.
Proposition 8.24.






Proof.
Replacing M by its image under a translation and a rotation (which are Euclidean isometries), we may assume that p is the origin and is equal to the span of
. Then after reflecting in the
-hyperplane if necessary, we may assume that the chosen unit normal is
. By an orthogonal transformation in the first n variables, we can also arrange that the scalar second fundamental form at 0 is diagonal with respect to the basis
, with diagonal entries
.




















Example 8.25
















The Gaussian Curvature of a Surface Is Intrinsic
Because the Gaussian and mean curvatures are defined in terms of a particular embedding of M into , there is little reason to suspect that they have much to do with the intrinsic Riemannian geometry of (M, g). The next exercise illustrates the fact that the mean curvature has no intrinsic meaning.
Exercise 8.26. Let
be the plane
, and let
be the cylinder
. Show that
and
are locally isometric, but the former has mean curvature zero, while the latter has mean curvature
, depending on which normal is chosen.
The amazing discovery made by Gauss was that the Gaussian curvature of a surface in is actually an intrinsic invariant of the Riemannian manifold (M, g). He was so impressed with this discovery that he called it Theorema Egregium, Latin for “excellent theorem."
Theorem 8.27
(Gauss’s Theorema Egregium). Suppose (M, g) is an embedded 2-dimensional Riemannian submanifold of . For every
, the Gaussian curvature of M at p is equal to one-half the scalar curvature of g at p, and thus the Gaussian curvature is a local isometry invariant of (M, g).
Proof.







Motivated by the Theorema Egregium, for an abstract Riemannian 2-manifold (M, g), not necessarily embedded in , we define the Gaussian curvature to be
, where S is the scalar curvature. If M is a Riemannian submanifold of
, then the Theorema Egregium shows that this new definition agrees with the original definition of K as the determinant of the shape operator. The following result is a restatement of Corollary 7.27 using this new definition.
Corollary 8.28.

Sectional Curvatures















A plane section
We define the
sectional curvature of
, denoted by
, to be the intrinsic Gaussian curvature at p of the surface
with the metric induced from the embedding
. If (v, w) is any basis for
, we also use the notation
for
.




Proposition 8.29



Proof.
Let be the subspace spanned by (v, w). For this proof, we denote the induced metric on
by
, and its associated curvature tensor by
. By definition,
is equal to
, the Gaussian curvature of
at p.





























Exercise 8.30. Suppose (M, g) is a Riemannian manifold and
for some positive constant
. Use Theorem 7.30 to prove that for every
and plane
, the sectional curvatures of
with respect to
and g are related by
.
Proposition 8.29 shows that one important piece of quantitative information provided by the curvature tensor is that it encodes the sectional curvatures of all plane sections. It turns out, in fact, that this is all of the information contained in the curvature tensor: as the following proposition shows, the sectional curvatures completely determine the curvature tensor.
Proposition 8.31.





Proof.
Let and
be tensors satisfying the hypotheses, and set
. Then D is an algebraic curvature tensor, and
for all
. (This is true by hypothesis when v and w are linearly independent, and it is true by the symmetries of D when they are not.) We need to show that
.



We can also give a geometric interpretation of the Ricci and scalar curvatures on a Riemannian manifold. Since the Ricci tensor is symmetric and bilinear, Lemma 8.11 shows that it is completely determined by its values of the form for unit vectors v.
Proposition 8.32
(Geometric Interpretation of Ricci and Scalar Curvatures). Let (M, g) be a Riemannian n-manifold and .
- (a)
For every unit vector
,
is the sum of the sectional curvatures of the 2-planes spanned by
, where
is any orthonormal basis for
with
.
- (b)
The scalar curvature at p is the sum of all sectional curvatures of the 2-planes spanned by ordered pairs of distinct basis vectors in any orthonormal basis.
Proof.







One consequence of this proposition is that if (M, g) is a Riemannian manifold in which all sectional curvatures are positive, then the Ricci and scalar curvatures are both positive as well. The analogous statement holds if “positive" is replaced by “negative," “nonpositive," or “nonnegative."
If the opposite sign convention is chosen for the curvature tensor, then the right-hand side of formula (8.28) has to be adjusted accordingly, with taking the place of
. This is so that whatever sign convention is chosen for the curvature tensor, the notion of positive or negative sectional, Ricci, or scalar curvature has the same meaning for everyone.
Sectional Curvatures of the Model Spaces
We can now compute the sectional curvatures of our three families of frame-homogeneous model spaces. A Riemannian metric or Riemannian manifold is said to have constant sectional curvature if the sectional curvatures are the same for all planes at all points.
Lemma 8.33.
If a Riemannian manifold (M, g) is frame-homogeneous, then it has constant sectional curvature.
Proof.
Frame homogeneity implies, in particular, that given two 2-planes at the same or different points, there is an isometry taking one to the other. The result follows from the isometry invariance of the curvature tensor.
Thus to compute the sectional curvature of one of our model spaces, it suffices to compute the sectional curvature for one plane at one point in each space.
Theorem 8.34
- (a)
has constant sectional curvature 0.
- (b)
has constant sectional curvature
.
- (c)
has constant sectional curvature
.
Proof.
First we consider the simplest case: Euclidean
space. Since the curvature tensor of is identically zero, clearly all sectional curvatures are zero. This is also easy to see geometrically, since each plane section is actually a plane, which has zero Gaussian curvature.
Next consider the
sphere . We need only compute the sectional curvature of the plane
spanned by
at the point
. The geodesics with initial velocities in
are great circles in the
subspace. Therefore
is isometric to the round 2-sphere of radius R embedded in
. As Example 8.25 showed,
has Gaussian curvature
. Therefore
has constant sectional curvature equal to
.
Finally, the proof for
hyperbolic spaces is left to Problem 8-28.
Note that for every real number c, exactly one of the model spaces listed above has constant sectional curvature c. These spaces will play vital roles in our comparison and local-to-global theorems in the last two chapters of the book.
Exercise 8.35. Show that the metric on
real projective space
defined in Example 2.34 has constant positive sectional curvature.
Since the sectional curvatures determine the curvature tensor, one would expect to have an explicit formula for the full curvature tensor when the sectional curvature is constant. Such a formula is provided in the following proposition.
Proposition 8.36.




Proof.
Problem 8-29.
The basic concepts of Riemannian metrics and sectional curvatures in arbitrary dimensions were introduced by Bernhard Riemann in a famous 1854 lecture at Göttingen University [Spi97, Vol. II, Chap. 4]. These were just a few of the seminal accomplishments in his tragically short life.
Problems
- 8-1.
Suppose U is an open set in
and
is a smooth function. Let
be the graph of f, endowed with the induced Riemannian metric and upward unit normal (see Example 2.19).
- (a)
Compute the components of the shape operator in graph coordinates, in terms of f and its partial derivatives.
- (b)
Let
be the n-dimensional paraboloid defined as the graph of
. Compute the principal curvatures of M.
(Used on p. 361.)
- (a)
- 8-2.
Let (M, g) be an embedded Riemannian hypersurface in a Riemannian manifold
, let F be a local defining function for M, and let
.
- (a)Show that the scalar second fundamental form of M with respect to the unit normal N is given byfor all
.
- (b)Show that the mean curvature of M is given bywhere
and
is the divergence operator of
(see Problem 5-14). [Hint: First prove the following linear-algebra lemma: If V is a finite-dimensional inner product space,
is a unit vector, and
is a linear map that takes
to
, then
, where
is defined by
.]
- (a)
- 8-3.
Let C be an embedded smooth curve in the half-plane
, and let
be the surface of revolution determined by C as in Example 2.20. Let
be a unit-speed local parametrization of C, and let X be the local parametrization of
given by (2.11).
- (a)
Compute the shape operator and principal curvatures of
in terms of a and b, and show that the principal directions at each point are tangent to the meridians and latitude circles.
- (b)
Show that the Gaussian curvature of
at a point
is equal to
.
- (a)
- 8-4.
Show that there is a surface of revolution in
that has constant Gaussian curvature equal to 1 but does not have constant principal curvatures. [Remark: We will see in Chapter 10 that this surface is locally isometric to
(see Cor. 10.15), so this gives an example of two nonflat hypersurfaces in
that are locally isometric but have different principal curvatures.]
- 8-5.
Let
be the paraboloid given by
, with the induced metric. Prove that S is isotropic at only one point. (Used on p. 56.)
- 8-6.Suppose (M, g) is a Riemannian manifold, and
is a regular (but not necessarily unit-speed) curve in M. Show that the geodesic curvature of
at
is
where the norm in the numerator is the one defined by (8.27). Show also that inwith the Euclidean metric, the formula can be written
- 8-7.
For
, let
be the surface of revolution obtained by revolving the curve
around the z-axis, called a catenoid. Show that
is a minimal surface for each w.
- 8-8.
For
, let
be the one-dimensional submanifold
; it is the union of two unit circles lying in the
planes. Let
, where c is the unique positive solution to the equation
. Prove that if
, then there are two distinct positive values
such that the portions of the catenoids
and
lying in the region
are minimal surfaces with boundary
(using the notation of Problem 8-7), while if
, there is exactly one such value, and if
, there are none. [Remark: This phenomenon can be observed experimentally. If you dip two parallel wire circles into soapy water, as long as they are close together they will form an area-minimizing soap film in the shape of a portion of a catenoid (the one with the larger “waist,”
in the notation above). As you pull the circles apart, the “waist" of the catenoid gets smaller, until the ratio of the distance between the circles to their diameter reaches
, at which point the film will burst and the only soap film that can be formed is two disjoint flat disks.]
- 8-9.
Let
be a Riemannian hypersurface, and let N be a smooth unit normal vector field along M. At each point
,
can be thought of as a unit vector in
and therefore as a point in
. Thus each choice of unit normal vector field defines a smooth map
, called the Gauss map of
. Show that
, where K is the Gaussian curvature of M.
- 8-10.Suppose
is a product metric on
as in (2.12). (See also Problem 7-6.)
- (a)
Show that for each point
, the submanifolds
and
are totally geodesic.
- (b)
Show that
for every 2-plane
spanned by
and
.
- (c)
Show that if
and
both have nonnegative sectional curvature, then
does too; and if
and
both have nonpositive sectional curvature, then
does too.
- (d)
Now suppose
has constant sectional curvature
for
; let
. Show that (M, g) is Einstein if and only if
; and (M, g) has constant sectional curvature if and only if
or
.
(Used on p. 366.)
- (a)
- 8-11.
Suppose
is a smooth surface,
, and
is a normal vector to M at p. Show that if
is any affine plane containing p and parallel to
, then there is a neighborhood U of p in
such that
is a smooth embedded curve in
, and the principal curvatures of M at p are equal to the minimum and maximum signed Euclidean curvatures of these curves as
varies. [Remark: This justifies the informal recipe for computing principal curvatures given in Chapter 1.]
- 8-12.
Suppose
is a Riemannian submersion, and
has all sectional curvatures bounded below by a constant c. Use O’Neill’s formula (Problem 7-14) to show that the sectional curvatures of (M, g) are bounded below by the same constant.
- 8-13.
Let
be the Riemannian submersion described in Example 2.30. In this problem, we identify
with
by means of coordinates
defined by
.
- (a)Show that the vector fieldon
is tangent to
and spans the vertical space
at each point
. (The implicit summation here is from 1 to
.)
- (b)Show that for all horizontal vector fields W, Z on
,
whereis the 1-form on
given by
andis the real-linear orthogonal map given by
(This is just multiplication byin complex coordinates. Notice that
.)
- (c)Using O’Neill’s formula (Problem 7-14), show that the curvature tensor of
satisfies
for everyand
, where
are horizontal lifts of w, x, y, z to an arbitrary point
.
- (d)Using the notation of part (c), show that for orthonormal vectors
, the sectional curvature of the plane spanned by
is
- (e)
Show that for
, the sectional curvatures at each point of
take on all values between 1 and 4, inclusive, and conclude that
is not frame-homogeneous.
- (f)
Compute the Gaussian curvature of
.
(Used on pp. 56, 262, 367.)
- (a)
- 8-14.
Show that a Riemannian 3-manifold is Einstein if and only if it has constant sectional curvature.
- 8-15.
Suppose (M, g) is a 3-dimensional Riemannian manifold that is homogeneous and isotropic. Show that g has constant sectional curvature. Show that the analogous result in dimension 4 is not true. [Hint: See Problem 8-13.]
- 8-16.
For each
, let
be the Berger metric on
defined in Problem 3-10. Compute the sectional curvatures with respect to
of the planes spanned by (X, Y), (Y, Z), and (Z, X). Prove that if
, then
is homogeneous but not isotropic anywhere. (Used on p. 56.)
- 8-17.
Let G be a Lie group with a bi-invariant metric g (see Problem 7-13).
- (a)
Suppose X and Y are orthonormal elements of
. Show that
for each
, and conclude that the sectional curvatures of (G, g) are all nonnegative.
- (b)
Show that every Lie subgroup of G is totally geodesic in G.
- (c)
Now suppose G is connected. Show that G is flat if and only if it is abelian.
(Used on p. 282.)
- (a)
- 8-18.
Suppose (M, g) is a Riemannian hypersurface in a Riemannian manifold
, and N is a unit normal vector field along M. We say that M is convex (with respect to N) if its scalar second fundamental form satisfies
for all
. Show that if M is convex and
has sectional curvatures bounded below by a constant c, then all sectional curvatures of M are bounded below by c.
- 8-19.Suppose (M, g) is a Riemannian hypersurface in an
-dimensional Lorentz manifold
, and N is a smooth unit normal vector field along M. Define the scalar second fundamental form h and the shape operator s by requiring that
and
for all
. Prove the following Lorentz analogues of the formulas of Theorem 8.13 (with notation as in that theorem):
- (a)
Gauss Formula:
.
- (b)
Gauss Formula for a Curve:
.
- (c)
Weingarten Equation:
.
- (d)
Gauss Equation:
.
- (e)
Codazzi Equation:
.
- (a)
- 8-20.Suppose
is an
-dimensional Lorentz manifold, and assume that
satisfies the Einstein field equation with a cosmological constant:
, where
is a constant and T is a smooth symmetric 2-tensor field (see p. 211). Let (M, g) be a Riemannian hypersurface in
, and let h be its scalar second fundamental form as defined in Problem 8-19. Use the results of Problem 8-19 to show that g and h satisfy the following Einstein constraint equations on M:
where S is the scalar curvature of g,the divergence of h with respect to g as defined in Problem 5-16,
is the function
, and J is the 1-form
. [Remark: When J and
are both zero, these equations, known as the vacuum Einstein constraint equations, are necessary conditions for g and h to be the metric and second fundamental form of a Riemannian hypersurface in an
-dimensional Lorentz manifold satisfying the vacuum Einstein field equation with cosmological constant
. It was proved in 1950 by Yvonne Choquet-Bruhat that these conditions are also sufficient; for a proof, see [CB09, pp. 166–168].]
- 8-21.For every linear endomorphism
, the associated quadratic form is the function
defined by
. Prove that
[Hint: Show thatwhen
by examining the effect of the isometry
and computeusing the fact that
on the sphere.] [Remark: It is a standard fact of linear algebra that the trace of A is independent of the choice of basis. This gives a geometric interpretation to the trace as n times the average value of the associated quadratic form Q.]
(Used on p. 313.)
- 8-22.Let (M, g) be a Riemannian n-manifold and
. Proposition 8.32 gave a geometric interpretation of the Ricci curvature at p based on a choice of orthonormal basis. This problem describes an interpretation that does not refer to a basis. For each unit vector
, prove that
wheredenotes the set of unit vectors in
that are orthogonal to v and
denotes the Riemannian metric on
induced from the flat metric
on
. [Hint: Use Problem 8-21.]
- 8-23.
Suppose (M, g) is a connected n-dimensional Riemannian manifold, and a Lie group G acts isometrically and effectively on M. Problem 5-12 showed that
. Prove that if equality holds, then g has constant sectional curvature.
- 8-24.Let (M, g) be a connected Riemannian manifold. Recall the definition of k-point homogeneous from Problem 6-18. Prove the following:
- (a)
If (M, g) is homogeneous, then it has constant scalar curvature.
- (b)
If (M, g) is 2-point homogeneous, then it is Einstein.
- (c)
If (M, g) is 3-point homogeneous, then it has constant sectional curvature.
- (a)
- 8-25.For
, suppose
is a Riemannian manifold of dimension
with constant sectional curvature
; and let
be the product metric on
. Show that the Weyl tensor of g is given by
whereand
for
. Conclude that (M, g) is locally conformally flat if and only if
. (See also Problem 7-6.)
(Used on p. 67.)
- 8-26.Let (M, g) be a 4-dimensional Riemannian manifold. Given
and an orthonormal basis
for
, prove that the Weyl tensor at p satisfies
whereis the sectional curvature of the plane spanned by
.
- 8-27.
Prove that the Fubini–Study metric on
is not locally conformally flat. [Hint: Use Problems 8-13 and 8-26.]
- 8-28.
Complete the proof of Theorem 8.34 by showing in two ways that the hyperbolic space of radius R has constant sectional curvature equal to
.
- (a)
In the hyperboloid model, compute the second fundamental form of
at the point
, and use either the general form of the Gauss equation (Thm. 8.5) or the formulas of Problem 8-19.
- (b)
In the Poincaré ball model, use formula (7.44) for the conformal transformation of the curvature to compute the Riemann curvature tensor at the origin.
- (a)
- 8-29.
Prove Proposition 8.36 (curvature tensors on constant-curvature spaces).
- 8-30.Suppose
is a hypersurface with the induced Riemannian metric. Show that the Ricci tensor of M satisfies
where H and s are the mean curvature and shape operator of M, respectively, and.
- 8-31.
For
, show that any k points in the hyperbolic space
lie in a totally geodesic
-dimensional submanifold, which is isometric to
.
- 8-32.
Suppose (M, g) is a Riemannian manifold and G is a Lie group acting smoothly and isometrically on M. Let
be the fixed point set of G, that is, the set of points
such that
for all
. Show that each connected component of S is a smoothly embedded totally geodesic submanifold of M. (The reason for restricting to a single connected component is that different components may have different dimensions.)
- 8-33.
Suppose (M, g) is a Riemannian manifold. Let
denote the bundle of 2-vectors (alternating contravariant 2-tensors) on M.
- (a)Show that there is a unique fiber metric on
whose associated norm satisfies
for all tangent vectors w, x at every point.
- (b)Show that there is a unique bundle endomorphism
, called the curvature operator of g, that satisfies
for all tangent vectors w, x, y, z at a point of M, where the inner product on the left-hand side is the one described in part (a).(8.30) - (c)
A Riemannian metric is said to have positive curvature operator if
is positive definite, and negative curvature operator if
is negative definite. Show that positive curvature operator implies positive sectional curvature, and negative curvature operator implies negative sectional curvature. [Remark: This is the reason for the negative sign in (8.30). If the Riemann curvature tensor is defined as the negative of ours, the negative sign should be omitted.]
- (d)Show that the converse need not be true, by using the results of Problem 8-13 to compute the following expression on
with the Fubini–Study metric:
where w, x, y, z are orthonormal vectors at an arbitrary point of, chosen so that their horizontal lifts satisfy
and
.
- (a)