Coordinates (in vectors space and on manifold) I recently realized that I was confused by the coordinates of a vector and the coordinates on a manifold. It probably happened because I think of manifolds as subsets of $\mathbb R^n$ and most of the time for convenience $n=3$. Now that I realized that the same word is used to mean two different things: one is the coefficients with respect to a basis and one is a continuous function. I am starting to wonder whether there is any relation between the two. Is there? Or should I start calling the manifold case local coordinates or  chart to distinguish the two?
 A: The two notions use the same word on purpose, because a manifold looks locally like Euclidean space, and therefore points on a manifold can be described with coordinates of a vector.
The idea is that for any point on a manifold, there is some open set containing the point that is diffeomorphic to an open set of some Euclidean space.  We can then translate the coordinates of the open set in Euclidean space to the neighborhood on the manifold via this diffeomorphism.
An example should be helpful.  Consider $S^2$, and let $p$ be the point $(1,0,0)$.  Now, consider the open set $U\subset S^2$ given by the equation $x>0$.  We can define a diffeomorphism as follows:
$$\begin{array}{rcl}(0,\pi)\times(-\pi/2,\pi/2)&\longrightarrow &U\\(\theta,\phi)&\mapsto &(\cos\phi\sin\theta,\sin\phi\sin\theta,\cos\theta)\end{array}$$
This diffeomorphism in a sense has taken the 'coordinate patch' $(0,\pi)\times(-\pi/2,\pi/2)$, and glued it onto the sphere, giving the sphere gridlines just like the patch has in $\mathbb{R}^2$.  The vertical and horizontal lines on the patch in $\mathbb{R}^2$ correspond to lines of longitude and latitude on $U$.  Under this diffeomorphism (also called a 'chart'), our point $p$ has the coordinates $(\pi/2,0)$. 
In general, think of the local coordinates of a manifold as a choice of diffeomorphism of neighborhoods, so that the manifold inherits the coordinate axes from Euclidean space.
A: Two different sets of coordinates are defined, speaking about manifolds.  
Given a $d$-dimensional manifold $M$, to every point $p\in M$ is attached a tangent space $T_pM$, whose dimension is again $d$. A (tangent) vector on the manifold is just an element of one of these tangent spaces.
Now, local charts and coordinates parametrize the manifold and allow you to label the points in some way of your choice. Let $x^1,\dots,x^d$ be local coordinates on an open set $U\subset M$ which comprises $p$: the local coordinate expression of $p$ will be $\varphi(p)=(x^1_{(p)},\dots,x^d_{(p)})$, where $\varphi\colon M\to\mathbb R^d$ is the diffeomorphism of the local chart.
These local coordinates induce a basis of tangent vectors $\partial_1|_p,\dots,\partial_d|_p$ in the point $p$. Every tangent vector in $p$ may be expressed through its coordinates w.r.t. this basis:
$$v\in T_pM \longleftrightarrow v=v^i\partial_i|_p$$
Obviously you may decide to use a different basis of tangent vectors, obtainable from the first via a multiplication by an invertible matrix. Then, also the coordinates of the tangent vector will change, but in the opposite way.
When you speak about $M=\mathbb R^3$, confusion may arise, because the tangent space to a vector space is isomorphic to the vector space: $T_p\mathbb R^3=\mathbb R^3$.
When you say - for example - that the electric field at a point in space has a certain coordinate expression, you are really speaking about its coordinates as a vector of the tangent space; these coordinates may then depend on $x,y,z$, or $r,\theta,\phi$, which are coordinates of the local charts used to label points of the manifold.
A: Basically, coordinates are ultimately just a set of numbers which identify a certain element of a set. If our set has additional structure, we of course want to select those numbers in a way that you can see this structure directly on those numbers.
For example, in a vector space you've got linearity (indeed, linearity is what defines vector spaces; that's why they are also sometimes called linear spaces). Therefore we want to use coordinates which reflect that linearity. That is, if you do linear combinations of vectors (linearity basically means that you can do linear combinations), we want those to map to linear combinations of the numbers in our coordinates. Now from this it follows that your coordinate space is itself a vector space, namely the vector space $\mathbb R^n$. And the standard basis of that basis maps to some basis of your vector space.
In a Riemannian manifold, you care about the differentiable structure, therefore you want your coordinates to represent that. That is, whenever you've got smooth functions on you manifold, you also want to get smooth functions of your coordinates. That is, you want to have a smooth map from the manifold $\mathbb R^n$ (repectively an open subset of that manifold) to the manifold in question. Now there's the complication that unlike in the case of vector spaces you generally cannot do a single such map, therefore you've got to use several such maps.
Of course if you've got a manifold, you've got tangential spaces which themselves are vector spaces. Therefore you need the manifold coordinates (which identify the point, and therefore also the corresponding tangential space) and in addition the coordinates of the vectors in that space. Now it turns out that from the coordinates of the manifold you get a natural set of basis vectors in your tangential space, which in turn leads to a natural choice of vector coordinates.
BTW, I know the term "components" for the vector coordinates (or more generally for the coordinates of a tensor).
