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Differential Geometry of Curved Manifolds 📂Geometry

Differential Geometry of Curved Manifolds

Definition1

Let’s denote MM as a Riemannian manifold, and X(M)\frak{X}(M) as the set of all vector fields on MM.

X(M)=the set of all vector fileds of calss C on M \frak{X}(M) = \text{the set of all vector fileds of calss } C^{\infty} \text{ on } M

The curvature RR of MM is a function that maps X,YX(M)X, Y \in \frak{X}(M) to R(X,Y):X(M)X(M)R(X, Y) : \frak{X}(M) \to \frak{X}(M). In this context, R(X,Y)R(X, Y) is given as follows.

R(X,Y)Z=YXZXYZ+[X,Y]Z,ZX(M) \begin{equation} R(X, Y) Z = \nabla_{Y} \nabla_{X} Z - \nabla_{X} \nabla_{Y} Z + \nabla_{[X,Y]}Z, \quad Z \in \frak{X}(M) \end{equation}

Such RR is called the Riemannian curvature or Riemannian curvature tensor.

\nabla is the Levi-Civita connection on MM, [,][ \cdot, \cdot] is the Lie bracket.

Explanation

In other words, RR maps two vector fields X,YX, Y to the function R(X,Y)R(X, Y), and then R(X,Y)R(X, Y) again maps vector field ZZ as described by (1)(1). Therefore, it’s indeed appropriate to write it as follows.

R:X(M)×X(M)×X(M)X(M)R(X,Y,Z)=YXZXYZ+[X,Y]Z,ZX(M) R : \frak{X}(M) \times \frak{X}(M) \times \frak{X}(M) \to \frak{X}(M) \\[1em] R(X,Y,Z) = \nabla_{Y} \nabla_{X} Z - \nabla_{X} \nabla_{Y} Z + \nabla_{[X,Y]}Z, \quad Z \in \frak{X}(M)

However, as one can see from the value of R(X,Y,Z)R(X,Y,Z), it neatly bundles into ZZ. Moreover, since X,YX, Y is used as the differentiating variable and ZZ as the variable being differentiated, this notation conventionally distinguishes their roles as displayed in R(X,Y)ZR(X, Y) Z.

Also, there is a difference in the sign conventions between textbooks for definition (1)(1), but essentially they are the same.

Repeated Notation

For the Riemann curvature tensor RR, R:X(M)×X(M)×X(M)×X(M)D(M)R: \frak{X}(M) \times \frak{X}(M) \times \frak{X}(M) \times \frak{X}(M) \to \mathcal{D}(M) is defined as follows.

R(X,Y,Z,W):=g(R(X,Y)Z,W)=R(X,Y)Z,W R(X, Y, Z, W) := g(R(X, Y)Z, W) = \left\langle R(X, Y)Z, W \right\rangle

This is called the Riemann curvature tensor. The Riemann curvature tensor introduced in the definition is RR, and this one is also RR. The reason for this duplication is because they are essentially the same, with only a difference of multiplying a metric.

Coordinate Representation

Let’s denote the basis of TpMT_{p}M as {Xi}\left\{ X_{i} \right\}. R(Xi,Xj)XkR(X_{i},X_{j})X_{k} is notated as follows.

R(Xi,Xj)Xk=sRijksXs R(X_{i},X_{j})X_{k} = \sum_{s}R_{ijk}^{s}X_{s}

R(Xi,Xj,Xk,Xl)R(X_{i}, X_{j}, X_{k}, X_{l}) is notated as follows.

Rijkl=R(Xi,Xj,Xk,Xl)=g(R(Xi,Xj)Xk,Xl)=sRijksgsl R_{ijkl} = R(X_{i}, X_{j}, X_{k}, X_{l}) = g\left( R(X_{i}, X_{j})X_{k}, X_{l} \right) = \sum_{s}R_{ijk}^{s}g_{sl}

Example: Euclidean Space

Let’s denote as M=RnM = \mathbb{R}^{n}. The Euclidean space is a flat space without curvature. Therefore, we expect to obtain R(X,Y)Z=0R(X,Y)Z = 0. Conversely, if this result is not obtained, we can say that definition (1)(1) does not hold any meaningful value. Let X,ZX, Z be set as follows.

X=(X1,,Xn)=Xixi and Z=(Z1,,Zn)=Zkxk X = (X^{1}, \dots, X^{n}) = \sum X^{i}\dfrac{\partial }{\partial x_{i}} \text{ and } Z = (Z^{1}, \dots, Z^{n}) = \sum Z^{k}\dfrac{\partial }{\partial x_{k}}

XZ\nabla_{X}Z is as follows.

XZ=i,k(XiZkxi+jXiZjΓijk)xk \nabla_{X}Z = \sum_{i,k} \left( X^{i}\dfrac{\partial Z^{k}}{\partial x_{i}} + \sum_{j}X^{i}Z^{j}\Gamma_{ij}^{k} \right) \dfrac{\partial }{\partial x_{k}}

In the case of Euclidean space, since Γijk=0\Gamma_{ij}^{k} = 0, we obtain the following.

XZ=i,kXi(Zkxi)xk=k(iXiZkxi)xk=kXZkxk=(XZ1,,XZn) \begin{align*} \nabla_{X} Z &= \sum_{i,k} X^{i} \left( \dfrac{\partial Z^{k}}{\partial x_{i}} \right) \dfrac{\partial }{\partial x_{k}} \\ &= \sum_{k} \left( \sum_{i} X^{i} \dfrac{\partial Z^{k}}{\partial x_{i}} \right) \dfrac{\partial }{\partial x_{k}} \\ &= \sum_{k} X Z^{k} \dfrac{\partial }{\partial x_{k}} \\ &= \left( XZ^{1}, \dots, XZ^{n} \right) \end{align*}

Similarly, we obtain the following.

YXZ=(YXZ1,,YXZn) \nabla_{Y} \nabla_{X} Z = \left( YXZ^{1}, \dots, YXZ^{n} \right)

Therefore,

R(X,Y)Z=YXZXYZ+[X,Y]Z=(YXZ1,,YXZn)(XYZ1,,XYZn)+((XYYX)Z1,,(XYYX)Zn)=0 \begin{align*} R(X, Y) Z &= \nabla_{Y} \nabla_{X} Z - \nabla_{X} \nabla_{Y} Z + \nabla_{[X,Y]}Z \\ &= \left( YXZ^{1}, \dots, YXZ^{n} \right) - \left( XYZ^{1}, \dots, XYZ^{n} \right) \\ &\quad + \left( (XY-YX)Z^{1}, \dots, (XY-YX)Z^{n} \right) \\ &= 0 \end{align*}

Properties

(a) RR is bilinear. That is,

R(fX1+gX2,Y1)=fR(X1,Y1)+gR(X2,Y1)R(X1,fY1+gY2)=fR(X1,Y1)+gR(X1,Y2) \begin{align*} R(f X_{1} + gX_{2}, Y_{1}) &= fR(X_{1}, Y_{1}) + gR(X_{2}, Y_{1}) \\[1em] R(X_{1}, fY_{1} + gY_{2}) &= fR(X_{1}, Y_{1}) + gR(X_{1}, Y_{2}) \end{align*}

where f,gD(M)f, g \in \mathcal{D}(M), X1,X2,Y1,Y2X(M)\quad X_{1}, X_{2}, Y_{1}, Y_{2} \in \frak{X}(M) are given.

(b) For any X,YX(M)X, Y \in \frak{X}(M), R(X,Y)R(X, Y) is linear. That is,

R(X,Y)(Z+W)=R(X,Y)Z+R(X,Y)WR(X,Y)fZ=fR(X,Y)Z \begin{align*} R(X, Y) (Z + W) &= R(X, Y) Z + R(X, Y) W \\[1em] R(X, Y) fZ &= f R(X, Y) Z \end{align*}

where fD(M)f \in \mathcal{D}(M), Z,WX(M)\quad Z, W \in \frak{X}(M) are given.

Proof

(b)

The first property is trivial by the definition of connection. Thus, only the second line is proven.

R(X,Y)fZ=YXfZXYfZ+[X,Y]fZ R(X, Y) fZ = \nabla_{Y} \nabla_{X} fZ - \nabla_{X} \nabla_{Y} fZ + \nabla_{[X,Y]}fZ

Firstly, calculating the first term by the definition of the connection,

YX(fZ)=Y(fXZ+(Xf)Z)=Y(fXZ)+Y((Xf)Z)=fYXZ+(Yf)XZ+(Xf)Y(Z)+(Y(Xf))Z \begin{align*} \nabla_{Y} \nabla_{X} (fZ) &= \nabla_{Y}(f\nabla_{X} Z + (Xf)Z) \\ &= \nabla_{Y}(f\nabla_{X}Z) + \nabla_{Y}((Xf)Z) \\ &= f\nabla_{Y}\nabla_{X}Z + (Yf)\nabla_{X}Z + (Xf)\nabla_{Y}(Z) + (Y(Xf))Z \end{align*}

Similarly calculating,

XY(fZ)=fXYZ+(Xf)YZ+(Yf)X(Z)+(X(Yf))Z \nabla_{X}\nabla_{Y}(fZ) = f\nabla_{X}\nabla_{Y}Z + (Xf)\nabla_{Y}Z + (Yf)\nabla_{X}(Z) + (X(Yf))Z

Therefore, we obtain the following.

YX(fZ)XY(fZ)=fYXZ+(Yf)XZ+(Xf)YZ+YXfZ(fXYZ+(Xf)YZ+(Yf)XZ+XYfZ)=f(YXZXYZ)+YXfZXYfZ=f(YXZXYZ)([X,Y]f)Z \begin{align*} \nabla_{Y} \nabla_{X} (fZ) - \nabla_{X}\nabla_{Y}(fZ) &= {\color{blue}f\nabla_{Y}\nabla_{X}Z} + {\color{red}\cancel{\color{black}(Yf)\nabla_{X}Z}} + {\color{green}\cancel{\color{black}(Xf)\nabla_{Y}Z}} + YXfZ \\ &\quad - \left( {\color{blue}f\nabla_{X}\nabla_{Y}Z} + {\color{green}\cancel{\color{black}(Xf)\nabla_{Y}Z}} + {\color{red}\cancel{\color{black}(Yf)\nabla_{X}Z}} + XYfZ \right) \\ &= {\color{blue}f(\nabla_{Y}\nabla_{X}Z - \nabla_{X}\nabla_{Y}Z)} + YXfZ - XYfZ \\ &= f(\nabla_{Y}\nabla_{X}Z - \nabla_{X}\nabla_{Y}Z) - ([X,Y]f)Z \end{align*}

Additionally, since [X,Y]fZ=f[X,Y]Z+([X,Y]f)Z\nabla_{[X,Y]} fZ = f\nabla_{[X,Y]}Z + ([X,Y]f)Z, finally we calculate as follows.

R(X,Y)fZ=YXfZXYfZ+[X,Y]fZ=f(YXZXYZ)([X,Y]f)Z+f[X,Y]Z+([X,Y]f)Z=f(YXZXYZ)+f[X,Y]Z=f(YXZXYZ+[X,Y]Z)=fR(X,Y)Z \begin{align*} R(X, Y) fZ &= \nabla_{Y} \nabla_{X} fZ - \nabla_{X} \nabla_{Y} fZ + \nabla_{[X,Y]} fZ \\ &= f(\nabla_{Y}\nabla_{X}Z - \nabla_{X}\nabla_{Y}Z) - ([X,Y]f)Z + f\nabla_{[X,Y]}Z + ([X,Y]f)Z \\ &= f(\nabla_{Y}\nabla_{X}Z - \nabla_{X}\nabla_{Y}Z) + f\nabla_{[X,Y]}Z \\ &= f(\nabla_{Y}\nabla_{X}Z - \nabla_{X}\nabla_{Y}Z + \nabla_{[X,Y]}Z) \\ &= fR(X, Y) Z \end{align*}


  1. Manfredo P. Do Carmo, Riemannian Geometry (Eng Edition, 1992), p89-90 ↩︎