Curvature is tensorial

From Diffgeom

This article gives the statement, and possibly proof, that a map constructed in a certain way is tensorial
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Statement

Let be a connection on a vector bundle E over a differential manifold M. The Riemann curvature tensor of is given as a map Γ(TM)Γ(TM)Γ(E)Γ(E) defined by:

R(X,Y)Z=XYZYXZ[X,Y]Z

We claim that R is a tensorial map in each of the variables X,Y,Z.

Related facts

Facts used

X(fg)=(Xf)(g)+f(Xg)

f[X,Y]=[fX,Y]+(Yf)X

f[X,Y]=[X,fY](Xf)Y

  • The Leibniz rule axiom that's part of the definition of a connection, namely:

X(fZ)=(Xf)(Z)+fX(Z)

Proof

To prove tensoriality in a variable, it suffices to show C-linearity in that variable. This is because linearity in C-functions guarantees linearity in a function that is 1 at exactly one point, and zero at others.

The proofs for X and Y are analogous, and rely on manipulation of the Lie bracket [fX,Y] and the property of a connection being C in the subscript vector. These proofs do not involve any explicit use of Z. The proof for Z relies simply on repeated application of the product rule, and the fact that XYYX=[X,Y].

Tensoriality in the first variable

Let f:MR be a scalar function. We will show that:

R(fX,Y)=fR(X,Y)

We start out with the left side:

fXYYfX[fX,Y]

Now by the definition of a connection, is C-linear in its subscript argument. Thus, the above expression can be written as:

fXYY(fX)[fX,Y]

Now applying the Leibniz rule for connections, we get:

fXY(Yf)XfYX[fX,Y]

We can rewrite (Yf)X=(Yf)X and we then get:

f(XYYX)(Yf)X+[fX,Y]

By the corollary stated above, we have:

(Yf)X+[fX,Y]=f[X,Y]

which, substituted back, gives:

f(XYYX[X,Y])

Tensoriality in the second variable

Let f:MR be a scalar function. We will show that:

R(X,fY)=fR(X,Y)

We start out with the left side:

XfYfYX[X,fY]

Applying the Leibniz rule and the property of a connection being C in its subscript variable yields:

(Xf)Y+f(XYYX)[X,fY]

which simplifies to:

f(XyYX)[X,fY](Xf)Y

We now use the corollary stated above:

f[X,Y]=[X,fY](Xf)Y

substituting this gives:

f(XYYX[X,Y]

which is fR(X,Y)

Tensoriality in the third variable

Let f:MR be a scalar function. We will show that:

R(X,Y)(fZ)=fR(X,Y)Z

We start out with the left side:

XY(fZ)YX(fZ)[X,Y](fZ)

Now we apply the Leibniz rule for connnections on each term:

X((Yf)(Z)+fYZ)Y((Xf)Z+fXZ)f[X,Y]Z([X,Y]f)Z

We again apply the Leibniz rule to the first two term groups:

(XYf)(Z)+(Yf)XZ+(Xf)YZ+fXYZ(YXf)Z(Xf)YZ(Yf)XZfYXZf[X,Y]Z([X,Y]f)Z

After cancellations we are left with the following six terms:

f(XYYX[X,Y])Z+((XYYX[X,Y])f)Z

But since [X,Y]=XYYX, the last three terms vanish, and we are left with:

fR(X,Y)Z