Suppose I want a notion of differentiability on the curve where is a topological manifold. If we want to lift the notion of differentiability on the curve, from the charted curve, which is from to , it better be that the overlapping part of any two charts agree.
Indeed, is a homeomorphism from to , which means its both ways continuous and bijective. but we want to be differentiable not just continuous.
So its not enough to take ANY charts on the manifold , For example, if we take the maximal Atlas on , meaning that it contains all possible valid charts that we can put.
So from the maximal atlas, we might want to THROW OUT all charts such that all transition functions between the remaining charts are differentiable.
Compatible charts
Two charts are compatible if either:
or:
and are both differentiable under the same notion
In this case, The atlas with all such charts may be denoted . The triple is then a differentiable manifold under the notion .
The below picture asks on what kinds of condition "flower" we can ask for the charts. We have meaning it is k times continuous differentiable. We have which is really cool, if we have chart transition map from , we can treat them as complex numbers, and complex differentiability means that the Cauchy Reimann equations are satisfied, and these maps are infinitely continuous and differentiable. We want which are called smooth manifolds (infinitely differentiable and continuous at each level)
Whitney's theorem
If there - manifold for , then there is a sub-atlas of , which is a atlas.
Thus we may WLOG always consider smooth Manifolds.
maps
If are both smooth manifolds, of dimensions . Then is a map if for any chart and any chart , The charted map is a smooth function.
Notice that . Or .
Moreover, if there are alternative charting maps on and on , then it better be that is also a smooth map. This holds good, because the chart transition maps between and are smooth maps.
More formally, and . Hence, . But since both of the transition maps is smooth, and is smooth, is also smooth.
Diffeomorphic
If are both smooth manifolds, then they are diffeomorphic if there exists a bijection such that both and are maps. It is a very cool theorem that given a manifold, only for dimension we have an uncountably infinite number of sub-atlases that gives us a smooth manifold (upto diffeomorphism) from the given manifold.
()
Let be a smooth manifold, is trivially a smooth manifold (with the identity map serving as the single global chart, and hence no chart transition maps to consider).
Then the set of all smooth maps () maps from is called , and can be equipped with a vector space structure. With the usual function addition and scalar multiplication we all know and love.
Imagine you there is an ant, walking on the curve on the manifold , now the ant knows that the curve is a function of time, so roughly is a smooth map or map from to . But let us say that the ant is directionally challenged (especially on this complicated manifold), mathematically gifted, and has a very astute sense of absolute temperature at any point in the manifold. So It cannot find out its own path or velocity so far, but given a temperature mapping
So for any given temperature map , the ant is very good at understanding the map , but doesn't have a very good sense of itself, as a function of say time.
Let be a point on , that is . Then what is the velocity of at ? The ant is very smart and realizes that the velocity that it feels, is actually a function of the temperature map . So in some sense, gives you the "Direction" along which you take the velocity. is actually a function of , depending on what temperature ("direction") mapping you give the ant, it will give you a velocity.
in particular, is the map that takes to .
In fact is a linear map from the vector space of all smooth functions from , TO .
First notice that ( are from which is a vector space).
Therefore,
Hence, .
Similarly we can show
Tangent vector space
For each of a smooth manifold, define the set
So you have all these different smooth curves, each giving tangent vectors at the point on the smooth manifold. So we can get addition and scalar multiplication on easily In general the result is a linear map from to , but we want the result to be another vector in the tangent space, namely we want the result in itself, to get closure on the vector space.
for any and any tangent vector there exists a curve such that for all , That is, $$ (f\circ\delta)'(y_{0}) = \lambda(f \circ \gamma)'(x_{0})$$ Where .
What about introducing a map
such that ? By the chain rule, the equation simplifies to $$ (f\circ \gamma)'(h(y_{0}))h'(y_{0}) = \lambda(f\circ \gamma)'(x_{0})$$
(Here , where since is smooth, and will chosen to be smooth, will be smooth too)
But what do we pick? what about ? firstly let us solve for , we want it is sufficent if , and with our choice for , . In any case and , giving the desired inequality.
Now comes the harder part:
pick any two elements of say . We must show that there exists a smooth curve such that for all "temperature" /smooth maps from $$v_{\gamma,p}(f) + v_{\delta,p}(f) = v_{h,p}(f)$$.
Its time for A CRAZY setup again. First, we will make the curve chart dependent, and then see if we can correct that sin.
Pick a chart such that . choose such that
now define: $$ h_{x}(t) = x^{-1}\left((x \circ \gamma)(t_{0} + t) + (x \circ \delta)(t_{1}+t)- (x \circ \gamma)(t_{0})\right )$$
Let reminds us that our definition of the curve is still chart dependent. It is clear that indeed *by the way, the whole curves need not lie in the chart open set , because only the point and thus only is what we want to compute on. *
So looking at the commutative diagram, uses maps from namely and then inverts to the open set in the manifold. Now, $$ v_{h_{x},p} (f) = (f \circ h_{x})'(0)$$as usual, we introduce the identity to use undergrad notion of derivatives in vector spaces: giving us
Looking at the commutative diagram above again, and . So both these parts are "undergaduate derivative compatible".
Now we shut up and calculate.
if we peturb an input to , a dimensional vector is perturbed as the output, which is then fed into . Let us look at a computational graph.
so now, as we know in multi-variable chain rule, we multiple along each path and add up the paths. A single path looks like which is which we want to evaluate at
at t = 0, $$(x \circ h_{x})'(0) = (x \circ \gamma)'(t_{0}) + (x \circ \delta)'(t_{1})$$
then, at ,
so our single path chain rule now is just
Now we have two terms, that both look like independent single variable chain rules. it is again very important to play atenttion to the commutative diagram.
well what's the immediate input to of course, which lives in . But . Which means that its a reverse chain rule!
our single component path derivative is now $$ (f \circ \gamma)'(t_{0}){i} + (f\circ \delta)(t_{1})_{i}$$
Summing over the components, finally!!
OMG!!!
And so is absolutely chart independent!! does not matter at all.
So is closed under addition, scalar multiplication, and is a vector space due to its linear properties.