Linearity of homomorphisms in exponential charts

Statement of theorem

In this video, we will prove the following theorem which was stated earlier:

Theorem:

If F:Gβ†’H is a smooth homomorphism of matrix groups and f denotes the locally-defined map log∘F∘exp:𝔀→π”₯ then:

  1. f is the restriction of a linear map F*:𝔀→π”₯ to a neighbourhood of 0βˆˆπ”€ .

  2. F(expX)=exp(F*(X)) for all Xβˆˆπ”€ ,

  3. F*[X,Y]=[F*X,F*Y] for all X and Y in 𝔀 .

Proof of theorem

Proof:

Our first observation is that, for all Xβˆˆπ”€ , exp(tX) is a 1-parameter subgroup. Since F is a smooth homomorphism, and since a 1-parameter subgroup is just a smooth homomorphism from 𝐑 , we deduce that F(exp(tX)) is a 1-parameter subgroup in H . By what we proved about 1-parameter subgroups, F(exp(tX))=exp(tY) for some Y∈π”₯ .

The groups G and H with exponential charts centred on their identities, and the paths exp(tX), exp(tY) passing through the identity

The figure above shows the groups G and H , the paths exp(tX) and exp(tY) , and (red) neighbourhoods of the identity in each on which the logarithm is well-defined. For small t , exp(tX) and exp(tY) are both close to the identity, so live in the domain of the local logarithm.

We have F(exp(tX))=exp(f(tX)) for small t and F(exp(tX))=exp(tY) for all t . Therefore, for small t we can take logarithms and deduce that f(tX)=tY .

Since f is a smooth map, we can take the Taylor series f(tX)=td0f(X)+higher order in t , where d0f is the derivative of f at 0 . Because f(tX)=tY , we see that d0f(X)=Y and all higher order terms vanish.

This means that f(tX)=tY=td0f(X)=d0f(tX) for all X and all sufficiently small t . Therefore f=d0f on the domain of the exponential chart. We take F*=d0f . This proves the first part of the theorem. Recall that the matrix for the linear map d0f is the matrix of partial derivatives of components of f , d0f=(βˆ‚fiβˆ‚xj).

The second part follows from what we have already said: we showed that F(exptX)=exp(tY) (for all t ), and Y=d0f(X)=F*(X) . Setting t=1 we get F(expX)=exp(F*(X)) .

To prove the final part of the theorem, consider the expression exp(tX)exp(tY)exp(-tX)exp(-tY)

Use the Baker-Campbell-Hausdorff formula to multiply the first two and last two terms together and we get exp(t(X+Y)+12t2[X,Y]+β‹―)exp(-t(X+Y)+12t2[X,Y]+β‹―)
Using the Baker-Campbell-Hausdorff formula to multiply these two together, after a little manipulation, we get exp(t2[X,Y]+π’ͺ(t3)).

If I apply F to this whole expression, we get: F(exp(t2[X,Y]+π’ͺ(t3)))=exp(t2F*[X,Y]+π’ͺ(t3))

by definition of F* .

Because F is a homomorphism, F(exp(tX)exp(tY)exp(-tX)exp(-tY))=F(exp(tX))F(exp(tY))F(exp(-tX))F(exp(-tY)).

By definition of F* , this equals exp(tF*X)exp(tF*Y)exp(-tF*X)exp(-tF*Y) and using the Baker-Campbell-Hausdorff formula in the same way we get exp(t2[F*X,F*Y]+π’ͺ(𝓉3))

If we take t small then we can take logarithms and we get t2[F*X,F*Y]=t2F*[X,Y]+π’ͺ(t3).

Differentiating twice and setting t=0 we get F*[X,Y]=[F*X,F*Y] as required.