# Showing the Lie bracket of vector fields is a vector field (from definition)

I have seen a number of proofs that the Lie bracket $$[X,Y]$$ of two vector fields $$X$$ and $$Y$$ is a vector field but I fail to see this from the definition of a vector as the directional derivative $$v_\gamma$$ along the curve $$\gamma :\mathbb{R}\rightarrow M$$.

In particular, given $$\delta,\sigma$$ two curves through a point $$p\in M$$ corresponding to the vector fields $$X, Y$$ respectively (not only at $$p$$, possibly along an open interval of the curve parameters including $$p$$), can we construct a curve $$\gamma$$ such that at the point $$p$$ it corresponds to the Lie bracket $$[X,Y]$$?

If not, then what would be a more demonstrative proof using the definition of vector fields as smooth sections of the tangent bundle?

Edit: I think I should clarify why I'm struggling with it and where I need it. Sometimes I see definitions of certain vector(tensor) fields are given as they act on some arguments. For example, in this particular case, $$[X,Y]: C^\infty(M)\rightarrow C^\infty(M)$$ is an $$\mathbb R$$-linear map such that $$[X,Y]f:=X(Yf)-Y(Xf)$$. However, I also understand that the set all $$\mathbb R$$-linear maps $$C^\infty(M)\rightarrow C^\infty(M)$$ is not the same as the set of all (iii)smooth (ii)sections of the (i)tangent bundle. My effort here is to show property (i) for the Lie bracket. Properties (ii) and (iii) are clear to me.

A similar case that I understand is when proving that set of all such sections is an $$\mathbb R$$-vector space, I had to prove that the pointwise sum two vector fields $$X$$ and $$Y$$ is a vector field. It (i) pointwise belongs to $$T_pM$$ because sum of two vectors at $$p$$ is a vector at $$p$$, is (ii) a section: trivial and (iii) smooth because sum of two smooth functions is smooth under the corresponding topologies and charts.

• What is your definition of Lie bracket? Oct 9, 2020 at 17:43
• @ArcticChar It is defined as $[X,Y]f = X(Yf) - Y(Xf)$. Where the action of a vector field $X$ on a function $f$ on the manifold is defined as pointwise evaluation of the action of the vectors at different points of the manifold. This is where I'm stuck. How can I show that neither $XY$ nor $YX$ are vector fields but the commutator $[X,Y]$ is one, from definition? (I can show how they fail to transform correctly under a chart transition, but I want to have a better understanding of exactly what fails in the definition). Oct 10, 2020 at 5:36
• You can see vector fields as derivations, i.e. those linear maps $C^\infty(M)\to C^\infty(M)$ that verify Leibniz identity: $X(fg)=fX(g)+gX(f)$. Then it is easy to show that if $X$ and $Y$ are derivations that neither $XY$ or $YX$ are, but $[X,Y]$ is a derivation indeed. Oct 11, 2020 at 11:25

There are usually two definitions for tangent vectors: directional derivatives along curves and derivations of $$C^\infty(M)$$. While it is somewhat annoying to show that both definitions are equivalent, the fact remains that for some problems one definition is easier to work with than the other (for example, to show that $$\mathfrak{X}(M)$$ is a Lie algebra, the derivation definition is much easier to work with, but for finding the derivative of the multiplication map in a Lie group the curve definition is much easier to work with), so it is generally useful to be familiar with both definitions and establish early on that they are in fact equivalent.
Now, if we assume the derivation definition, your whole question just turns into a calculation: let $$X,Y\in\mathfrak{X}(M)$$, and let $$f,g\in C^\infty(M)$$, then $$X(Y(fg)) - Y(X(fg)) = X(Y(f)g) + X(fY(g)) - Y(X(f)g) - Y(fX(g))$$ $$= X(Y(f))g + Y(f)X(g) + X(f)Y(g) + fX(Y(g)) - Y(X(f))g - X(f)Y(g) - Y(f)X(g) - fY(X(g))$$ $$= X(Y(f))g - Y(X(f))g + fX(Y(g)) - fY(X(g))$$ $$= [X,Y](f)g + f[X,Y](g),$$ so that (+the $$\mathbb{R}$$-linearity properties) $$[X,Y]$$ is a derivation $$C^\infty(M)\to C^\infty(M)$$, which makes it into a vector field.