This post is a continuation of a previous post about the ring of trigonometric polynomials over the real field. Now we have jumped into the complex field, and the extension is not a trivial matter.

Read moreWe begin our study by some elementary Calculus. Now we have the function \(f(x)=x^2+\frac{e^x}{x^2+1}\) as our example. It should not be a problem to find its tangent line at point \((0,1)\), by calculating its derivative, we have \(l:x-y+1=0\) as the tangent line.

\(l\) is not a vector space since it does not get cross the origin, in general. But \(l-\overrightarrow{OA}\) is a vector space. In general, suppose \(P(x,y)\) is a point on the curve determined by \(f\), i.e. \(y=f(x)\), then we obtain a vector space \(l_p-\overrightarrow{OP} \simeq \mathbb{R}\). But the action of moving the tangent line to the origin is superfluous so naturally we consider the tangent line at \(P\) as a vector space **determined** by \(P\). In this case, the induced vector space (tangent line) is always of dimension \(1\).

Now we move to two-variable functions. We have a function \(a(x,y)=x^2+y^2-x-y+xy\) as our example. Some elementary Calculus work gives us the tangent surface of \(z=a(x,y)\) at \(A(1,1,1)\), which can be identified by \(S:2x+2y-z=3\simeq\mathbb{R}^2\). Again, this can be considered as a vector space **determined** by \(A\), or roughly speaking it is one if we take \(A\) as the origin. Further we have a base \((\overrightarrow{AB},\overrightarrow{AC})\). Other vectors on \(S\), for example \(\overrightarrow{AD}\), can be written as a linear combination of \(\overrightarrow{AB}\) and \(\overrightarrow{AC}\). In other words, \(S\) is "spanned" by \((\overrightarrow{AB},\overrightarrow{AC})\).

Tangent line and tangent surface play an important role in differentiation. But sometimes we do not have a chance to use it with ease, for example \(S^1:x^2+y^2=1\) cannot be represented by a single-variable function. However the implicit function theorem, which you have already learned in Calculus, gives us a chance to find a satisfying function locally. Here in this post we will try to generalize this concept, trying to find the tangent **space** at some point of a manifold. (The two examples above have already determined two manifolds and two tangent spaces.)

We will introduce the abstract definition of a tangent vector at beginning. You may think it is way too abstract but actually it is not. Surprisingly, the following definition can simplify our work in the future. But before we go, make sure that you have learned about Fréchet derivative (along with some functional analysis knowledge).

Let \(M\) be a manifold of class \(C^p\) with \(p \geq 1\) and let \(x\) be a point of \(M\). Let \((U,\varphi)\) be a chart at \(x\) and \(v\) be a element of the vector space \(\mathbf{E}\) where \(\varphi(U)\) lies (for example, if \(M\) is a \(d\)-dimensional manifold, then \(v \in \mathbb{R}^d\)). Next we consider the triple \((U,\varphi,v)\). Suppose \((U,\varphi,v)\) and \((V,\psi,w)\) are two such triples. We say these two triples are **equivalent** if the following identity holds: \[
{\color\green{[}}{\color\red{(}}{\color\red{\psi\circ\varphi^{-1}}}{\color\red{)'}}{\color\red{(}}{\color\purple{\varphi(x)}}{\color\red)}{\color\green{]}}(v)=w.
\] This identity looks messy so we need to explain how to read it. First we consider the function in red: the derivative of \(\psi\circ\varphi^{-1}\). The derivative of \(\psi\circ\varphi^{-1}\) at point \(\varphi(x)\) (in purple) is a linear transform, and the transform is embraced with green brackets. Finally, this linear transform maps \(v\) to \(w\). In short we read, the derivative of \(\psi\circ\varphi^{-1}\) at \(\varphi(x)\) maps \(v\) on \(w\). You may recall that you have meet something like \(\psi\circ\varphi^{-1}\) in the definition of manifold. It is not likely that these 'triples' should be associated to tangent vectors. But before we explain it, we need to make sure that we indeed defined an equivalent relation.

(Theorem 1)The relation \[ (U,\varphi,v) \sim (V,\psi,w)\\ [(\psi\circ\varphi^{-1})'(\varphi(x))](v)=w \] is an equivalence relation.

*Proof.* This will not go further than elementary Calculus, in fact, chain rule:

(Chain rule)If \(f:U \to V\) is differentiable at \(x_0 \in U\), if \(g: V \to W\) is differentiable at \(f(x_0)\), then \(g \circ f\) is differentiable at \(x_0\), and \[ (g\circ f)'(x_0)=g'(f(x_0))\circ f'(x_0) \]

- \((U,\varphi,v)\sim(U,\varphi,v)\).

Since \(\varphi\circ\varphi^{-1}=\operatorname{id}\), whose derivative is still the identity everywhere, we have \[ [(\varphi\circ\varphi^{-1})'(\varphi(x))](v)=\operatorname{id}(v)=v \]

- If \((U,\varphi,v) \sim (V,\psi,w)\), then \((V,\psi,w)\sim(U,\varphi,v)\).

So now we have \[ [(\psi\circ\varphi^{-1})'(\varphi(x))](v)=w. \] To prove that \([(\varphi\circ\psi^{-1})'(\psi(x))]{}(w)=v\), we need some implementation of chain rule.

Note first \[ (\psi\circ\varphi^{-1})'(\varphi(x))=\psi'(\varphi^{-1}(\varphi(x)))\circ\varphi^{-1}{'}(\varphi(x))=\psi'(x)\circ(\varphi^{-1})'(\varphi(x)) \] while \[ (\varphi\circ\psi^{-1})'(\psi(x))=\varphi'(x)\circ(\psi^{-1})'(\psi(x)). \] But also by the chain rule, if \(f\) is a diffeomorphism, we have \[ (f\circ f^{-1})'(x)=(f^{-1})'(f(x))\circ f'(x)=\operatorname{id} \] or equivalently \[ f'(x)=[(f^{-1})'(f(x))]^{-1} \quad (f^{-1})'(f(x))=[f'(x)]^{-1} \]

Therefore \[ \begin{aligned} \{(\psi\circ\varphi^{-1})'(\varphi(x))\}^{-1} &=\{\psi'(x)\circ(\varphi^{-1})'(\varphi(x))\}^{-1} \\ &=\{(\varphi^{-1})'(\varphi(x))\}^{-1}\circ\{\psi'(x)\}^{-1} \\ &=\varphi'(x)\circ(\psi^{-1})'(\psi(x)) \\ &=(\varphi\circ\psi^{-1})'(\psi(x)) \end{aligned} \] which implies \[ (\varphi\circ\psi^{-1})'(\psi(x))(w)=\{(\psi\circ\varphi^{-1})'(\varphi(x))\}^{-1}(w)=v. \]

- If \((U,\varphi,v)\sim(V,\psi,w)\) and \((V,\psi,w)\sim(W,\lambda,z)\), then \((U,\varphi,v)\sim(W,\lambda,z)\).

We are given identities \[ [(\psi\circ\varphi^{-1})'(\varphi(x))](v)=w \] and \[ [(\lambda\circ\psi^{-1})'(\psi(x))](w)=z. \] By canceling \(w\), we get \[ \begin{aligned} z = [(\lambda\circ\psi^{-1})'(\psi(x))] \circ [(\psi\circ\varphi^{-1})'(\varphi(x))] (v) \end{aligned}. \] On the other hand, \[ \begin{aligned} (\lambda\circ\varphi^{-1})'(\varphi(x))&=(\lambda\circ\psi^{-1}\circ\psi\circ\varphi^{-1})'(\varphi(x)) \\ &=(\lambda\circ\psi^{-1})'(\psi\circ\varphi^{-1}\circ\varphi(x))\circ(\psi\circ\varphi^{-1})'(\varphi(x)) \\ &=(\lambda\circ\psi^{-1})'(\psi(x))\circ(\psi\circ\varphi^{-1})'(\varphi(x)) \end{aligned} \] which is what we needed. \(\square\)

An **equivalence class** of such triples \((U,\varphi,v)\) is called a **tangent vector** of \(X\) at \(x\). The set of such tangent vectors is called the **tangent space** to \(X\) at \(x\), which is denoted by \(T_x(X)\). But it seems that we have gone too far. Is the triple even a 'vector'? To get a clear view let's see Euclidean submanifolds first.

Suppose \(M\) is a submanifold of \(\mathbb{R}^n\). We say \(z\) is the

tangent vectorof \(M\) at point \(x\) if there exists a curve \(\alpha\) of class \(C^1\), which is defined on \(\mathbb{R}\) and where there exists an interval \(I\) such that \(\alpha(I) \subset M\), such that \(\alpha(t_0)=x\) and \(\alpha'(t_0)=z\). (For convenience we often take \(t_0=0\).)

This definition is immediate if we check some examples. For the curve \(M: x^2+1+\frac{e^x}{x^2+1}-y=0\), we can show that \((1,1)^T\) is a tangent vector of \(M\) at \((0,1)\), which is identical to our first example. Taking \[ \alpha(t)=(t,t^2+1+\frac{e^t}{t^2+1}) \] we get \(\alpha(0)=(0,1)\) and \[ \alpha'(t)=(1,2t+\frac{e^t(t-1)^2}{(t^2+1)^2})^T. \] Therefore \(\alpha'(0)=(1,1)^T\). \(\square\)

Let \(\mathbf{E}\) and \(\mathbf{F}\) be two Banach spaces and \(U\) an open subset of \(\mathbf{E}\). A \(C^p\) map \(f: U \to \mathbf{F}\) is called an

immersionat \(x\) if \(f'(x)\) is injective.

For example, if we take \(\mathbf{E}=\mathbf{F}=\mathbb{R}=U\) and \(f(x)=x^2\), then \(f\) is an immersion at almost all point on \(\mathbb{R}\) except \(0\) since \(f'(0)=0\) is not injective. This may lead you to Sard's theorem.

(Theorem 2)Let \(M\) be a subset of \(\mathbb{R}^n\), then \(M\) is a \(d\)-dimensional \(C^p\) submanifold of \(\mathbb{R}^n\) if and only if for every \(x \in M\) there exists an open neighborhood \(U \subset \mathbb{R}^n\) of \(x\), an open neighborhood \(\Omega \subset \mathbb{R}^d\) of \(0\) and a \(C^p\) map \(g: \Omega \to \mathbb{R}^n\) such that \(g\) is immersion at \(0\) such that \(g(0)=x\), and \(g\) is a homeomorphism between \(\Omega\) and \(M \cap U\) with the topology induced from \(\mathbb{R}^n\).

This follows from the definition of manifold and should not be difficult to prove. But it is not what this blog post should cover. For a proof you can check *Differential Geometry: Manifolds, Curves, and Surfaces* by Marcel Berger and Bernard Gostiaux. The proof is located in section 2.1.

A coordinate system on a \(d\)-dimensional \(C^p\) submanifold \(M\) of \(\mathbb{R}^n\) is a pair \((\Omega,g)\) consisting of an open set \(\Omega \subset \mathbb{R}^d\) and a \(C^p\) function \(g:\Omega \to \mathbb{R}^n\) such that \(g(\Omega)\) is open in \(V\) and \(g\) induces a homeomorphism between \(\Omega\) and \(g(\Omega)\).

For convenience, we say \((\Omega,g)\) is centered at \(x\) if \(g(0)=x\) and \(g\) is an immersion at \(x\). By theorem 2 it is always possible to find such a coordinate system centered at a given point \(x \in M\). The following theorem will show that we can get a easier approach to tangent vector.

(Theorem 3)Let \(\mathbf{E}\) and \(\mathbf{F}\) be two finite-dimensional vector spaces, \(U \subset \mathbf{E}\) an open set, \(f:U \to \mathbf{F}\) a \(C^1\) map, \(M\) a submanifold of \(\mathbf{E}\) contained in \(U\) and \(W\) a submanifold of \(\mathbf{F}\) such that \(f(M) \subset W\). Take \(x \in M\) and set \(y=f(x)\), If \(z\) is a tangent vector to \(M\) at \(x\), the image \(f'(x)(z)\) is a tangent vector to \(W\) at \(y=f(x)\).

*Proof.* Since \(z\) is a tangent vector, we see there exists a curve \(\alpha: J \to M\) such that \(\alpha(0)=x\) and \(\alpha'(0)=z\) where \(J\) is an open interval containing \(0\). The function \(\beta = f \circ \alpha: J \to W\) is also a curve satisfying \(\beta(0)=f(\alpha(0))=f(x)\) and \[
\beta'(0)=f'(\alpha(0))\alpha'(0)=f'(x)(z),
\] which is our desired curve. \(\square\)

We shall show that equivalence relation makes sense. Suppose \(M\) is a \(d\)-submanifold of \(\mathbb{R}^n\), \(x \in M\) and \(z\) is a tangent vector to \(M\) at \(x\). Let \((\Omega,g)\) be a coordinate system centered at \(x\). Since \(g \in C^p(\mathbb{R}^d;\mathbb{R}^n)\), we see \(g'(0)\) is a \(n \times d\) matrix, and injectivity ensures that \(\operatorname{rank}(g'(0))=d\).

Every open set \(\Omega \subset \mathbb{R}^d\) is a \(d\)-dimensional submanifold of \(\mathbb{R}^d\) (of \(C^p\)). Suppose now \(v \in \mathbb{R}^d\) is a tangent vector to \(\Omega\) at \(0\) (determined by a curve \(\alpha\)), then by Theorem 3, \(g \circ \alpha\) determines a tangent vector to \(M\) at \(x\), which is \(z_x=g'(0)(v)\). Suppose \((\Lambda,h)\) is another coordinate system centered at \(x\). If we want to obtain \(z_x\) as well, we must have \[
h'(0)(w)=g'(0)(v),
\] which is equivalent to \[
w = (h'(0)^{-1} \circ g'(0))(v)=(h^{-1}\circ g)'(0)(v),
\] for some \(w \in \mathbb{R}^d\) which is the tangent vector to \(\Lambda\) at \(0 \in \Lambda\). *(The inverse makes sense since we implicitly restricted ourself to \(\mathbb{R}^d\))*

However, we also have two charts by \((U,\varphi)=(g(\Omega),g^{-1})\) and \((V,\psi) = (h(\Lambda),h^{-1})\), which gives \[ (h^{-1} \circ g)'(0)(v)=[(\psi \circ \varphi^{-1})'(\varphi(x))](v)=w \] and this is just our equivalence relation (don't forget that \(g(0)=x\) hence \(g^{-1}(x)=\varphi(x)=0\)!). There we have our reason for equivalence relation: If \((U,\varphi,v) \sim (V,\psi,w)\), then \((U,\varphi,u)\) and \((V,\psi,v)\) determines the same tangent vector but we do not have to evaluate it manually. In general, all elements in an equivalence class represent a single vector, so the vector is (algebraically) a equivalence class. This still holds when talking about Banach manifold since topological properties of Euclidean spaces do not play a role. The generalized proof can be implemented with little difficulty.

The tangent vectors at \(x \in M\) span a vector space (which is based at \(x\)). We do hope that because if not our definition of tangent vector would be incomplete and cannot even hold for an trivial example (such as what we mentioned at the beginning). We shall show, satisfyingly, the set of tangent vectors to \(M\) at \(x\) (which we write \(T_xM\)) forms a vector space that is toplinearly isomorphic to \(\mathbf{E}\), on which \(M\) is modeled.

(Theorem 4)\(T_xM \simeq \mathbf{E}\). In other words, \(T_xM\) can be given the structure of topological vector space given by the chart.

*Proof.* Let \((U,\varphi)\) be a chart at \(x\). For \(v \in \mathbf{E}\), we see \((\varphi^{-1})'(x)(v)\) is a tangent vector at \(x\). On the other hand, pick \(\mathbf{w} \in T_xM\), which can be represented by \((V,\psi,w)\). Then \[
v=(\varphi\circ\psi^{-1})'(\psi(x))(w)
\] makes \((U,\varphi,v) \sim (V,\psi,w)\) uniquely, and therefore we get some \(v \in \mathbf{E}\). To conclude, \[
T_xM \xrightarrow[(\varphi^{-1})'(x)]{\simeq}\mathbf{E}
\] which proves our theorem. Note that this does not depend on the choice of charts. \(\square\)

For many reasons it is not a good idea to identify \(T_xM\) as \(\mathbf{E}\) without mentioning the point \(x\). For example we shouldn't identify the tangent line of a curve as \(x\)-axis. Instead, it would be better to identify or visualize \(T_xM\) as \((x,\mathbf{E})\), that is, a linear space with origin at \(x\).

Now we treat *all* tangent spaces as a vector bundle. Let \(M\) be a manifold of class \(C^p\) with \(p \geq 1\), define the tangent bundle by the disjoint union \[
T(M)=\bigsqcup_{x \in M}T_xM.
\] This is a vector bundle if we define the projection by \[
\begin{aligned}
\pi: T(M) &\to M \\
y \in T_xM &\mapsto x
\end{aligned}
\] and we will verify it soon. First let's see an example. Below is a visualization of the tangent bundle of \(\frac{x^2}{4}+\frac{y^2}{3}=1\), denoted by red lines:

Also we can see \(\pi\) maps points on the blue line to a point on the curve, which is \(B\).

To show that a tangent bundle of a manifold is a vector bundle, we need to verify that it satisfies three conditions we mentioned in previous post. Let \((U,\varphi)\) be a chart of \(M\) such that \(\varphi(U)\) is open in \(\mathbf{E}\), then tangent vectors can be represented by \((U,\varphi,v)\). We get a bijection \[ \tau_U:\pi^{-1}(U) = T(U) \to U \times \mathbf{E} \] by definition of tangent vectors as equivalence classes. Let \(z_x\) be a tangent vector to \(U\) at \(x\), then there exists some \(v \in \mathbf{E}\) such that \((U,\varphi,v)\) represents \(z\). On the other hand, for some \(v \in \mathbf{E}\) and \(x \in U\), \((U,\varphi,v)\) represents some tangent vector at \(x\). Explicitly, \[ \tau_{U}(z_x)=(x,v)=(\pi(z_x),[(\varphi^{-1})'(\pi(z_x))]^{-1}(z_x)) \]

Further we get the following diagram commutative (which establishes **VB 1**):

For **VB 2** and **VB 3** we need to check different charts. Let \((U_i,\varphi_i)\), \((U_j,\varphi_j)\) be two charts. Define \(\varphi_{ji}=\varphi_j \circ \varphi_i^{-1}\) on \(\varphi_i(U_i \cap U_j)\), and respectively we write \(\tau_{U_i}=\tau_i\) and \(\tau_{U_j}=\tau_j\). Then we get a transition mapping \[
\tau_{ji}:(\tau_j \circ \tau_i^{-1}):(U_i \cap U_j) \times \mathbf{E} \to (U_i \cap U_j) \times \mathbf{E}.
\]

One can verify that \[
\tau_{ji}(x,v)=(\varphi_{ji}(x),D\varphi_{ji}(x) \cdot v)
\] for \(x \in U_i \cap U_j\) and \(v \in \mathbf{E}\). Since \(D\varphi_{ji} \in C^{p-1}\) and \(D\varphi_{ji}(x)\) is a toplinear isomorphism, we see \[
x \mapsto (\tau_j \circ \tau_i^{-1})_x=(\varphi_{ji}(x),D\varphi_{ji}(x)\cdot(\cdot))
\] is a morphism, which goes for **VB 3**. It remains to verify **VB 2**. To do this we need a fact from Banach space theory:

If \(f:U \to L(\mathbf{E},\mathbf{F})\) is a \(C^k\)-morphism, then the map of \(U \times \mathbf{E}\) into \(\mathbf{F}\) given by \[ (x,v) \mapsto [f(x)](v) \] is a \(C^k\)-morphism.

Here, we have \(f(x)=\tau_{ji}(x,\cdot)\) and to conclude, \(\tau_{ji}\) is a \(C^{p-1}\)-morphism. It is also an isomorphism since it has an inverse \(\tau_{ij}\). Following the definition of manifold, we can conclude that \(T(U)\) has a unique **manifold structure** such that \(\tau_i\) are morphisms (there will be a formal proof in next post about any total space of a vector bundle). By **VB 1**, we also have \(\pi=\tau_i\circ pr\), which makes it a morphism as well. On each fiber \(\pi^{-1}(x)\), we can freely transport the topological vector space structure of any \(\mathbf{E}\) such that \(x\) lies in \(U_i\), by means of \(\tau_{ix}\). Since \(f(x)\) is a toplinear isomorphism, the result is independent of the choice of \(U_i\). **VB 2** is therefore established.

Using some fancier word, we can also say that \(T:M \to T(M)\) is a **functor** from the category of \(C^p\)-manifolds to the category of vector bundles of class \(C^{p-1}\).

Direction is a considerable thing. For example take a look at this picture (by David Gunderman):

The position of the red ball and black ball shows that this triple of balls turns upside down every time they finish one round. This wouldn't happen if this triple were on a normal band, which can be denoted by \(S^1 \times (0,1)\). What would happen if we try to describe their velocity on the Möbius band, both locally and globally? There must be some significant difference from a normal band. If we set some move pattern on balls, for example let them run horizontally or zig-zagly, hopefully we get different *set* of vectors. those vectors can span some vector spaces as well.

Here and in the forgoing posts, we will try to develop purely formally certain functorial constructions having to do with vector bundles. It may be overly generalized, but we will offer some examples to make it concrete.

Let \(M\) be a manifold (of class \(C^p\), where \(p \geq 0\) and can be set to \(\infty\)) modeled on a Banach space \(\mathbf{E}\). Let \(E\) be another topological space and \(\pi: E \to M\) a surjective \(C^p\)-morphism. A **vector bundle** is a topological construction associated with \(M\) (base space), \(E\) (total space) and \(\pi\) (bundle projection) such that, roughly speaking, \(E\) is locally a product of \(M\) and \(\mathbf{E}\).

We use \(\mathbf{E}\) instead of \(\mathbb{R}^n\) to include the infinite dimensional cases. We will try to distinguish finite-dimensional and infinite-dimensional Banach spaces here. There are a lot of things to do, since, for example, infinite dimensional Banach spaces have no countable Hamel basis, while the finite-dimensional ones have finite ones (this can be proved by using the Baire category theorem).

Next we will show precisely how \(E\) locally becomes a product space. Let \(\mathfrak{U}=(U_i)_i\) be an open covering of \(M\), and for each \(i\), suppose that we are *given* a mapping \[
\tau_i:\pi^{-1}(U_i)\to U_i \times E
\] satisfying the following three conditions.

**VB 1** \(\tau_i\) is a \(C^p\) diffeomorphism making the following diagram commutative:

where \(pr\) is the projection of the first component: \((x,y) \mapsto x\). By restricting \(\tau_i\) on one point of \(U_i\), we obtain an isomorphism on each fiber \(\pi^{-1}(x)\): \[ \tau_{ix}:\pi^{-1}(x) \xrightarrow{\simeq} \{x\} \times \mathbf{E} \]

**VB 2** For each pair of open sets \(U_i\), \(U_j \in \mathfrak{U}\), we have the map \[
\tau_{jx} \circ \tau_{ix}^{-1}: \mathbf{E} \to \mathbf{E}
\] to be a toplinear isomorphism (that is, it preserves \(\mathbf{E}\) for being a *topological* vector space).

**VB 3** For any two members \(U_i\), \(U_j \in \mathfrak{U}\), we have the following function to be a \(C^p\)-morphism: \[
\begin{aligned}
\varphi:U_i \cap U_j &\to L(\mathbf{E},\mathbf{E}) \\
x &\mapsto \left(\tau_j\circ \tau_i^{-1}\right)_x
\end{aligned}
\]

**REMARKS.** As with manifold, we call the set of 2-tuples \((U_i,\tau_i)_i\) a **trivializing covering** of \(\pi\), and that \((\tau_i)\) are its **trivializing maps**. Precisely, for \(x \in U_i\), we say \(U_i\) or \(\tau_i\) trivializes at \(x\).

Two trivializing *coverings* for \(\pi\) is said to be **VB-equivalent** if taken together they also satisfy conditions of **VB 2** and **VB 3**. It's immediate that **VB-equivalence** is an equivalence relation and we leave the verification to the reader. It is this VB-equivalence *class* of trivializing coverings that determines a structure of **vector bundle** on \(\pi\). With respect to the Banach space \(\mathbf{E}\), we say that the vector bundle has **fiber** \(\mathbf{E}\), or is **modeled on** \(\mathbf{E}\).

Next we shall give some motivations of each condition. Each pair \((U_i,\tau_i)\) determines a local product of 'a part of the manifold' and the model space, on the latter of which we can deploy the direction with ease. This is what **VB 1** tells us. But that's far from enough if we want our vectors fine enough. We do want the total space \(E\) to actually be able to qualify our requirements. As for **VB 2**, it is ensured that using two different trivializing maps will give the same structure of some Banach spaces (with *equivalent* norms). According to the image of \(\tau_{ix}\), we can say, for each point \(x \in X\), which can be determined by a fiber \(\pi^{-1}(x)\) (the pre-image of \(\tau_{ix}\)), can be given another Banach space by being sent via \(\tau_{jx}\) for some \(j\). Note that \(\pi^{-1}(x) \in E\), the total space. In fact, **VB 2** has an equivalent alternative:

**VB 2'** On each fiber \(\pi^{-1}(x)\) we are given a structure of Banach space as follows. For \(x \in U_i\), we have a toplinear isomorphism which is in fact the trivializing map: \[
\tau_{ix}:\pi^{-1}(x)=E_x \to \mathbf{E}.
\] As stated, **VB 2** implies **VB 2'**. Conversely, if **VB 2'** is satisfied, then for open sets \(U_i\), \(U_j \in \mathfrak{U}\), and \(x \in U_i \cap U_j\), we have \(\tau_{jx} \circ \tau_{ix}^{-1}:\mathbf{E} \to \mathbf{E}\) to be an toplinear isomorphism. Hence, we can consider **VB 2** or **VB 2'** as the refinement of **VB 1**.

In finite dimensional case, one can omit **VB 3** since it can be implied by **VB 2**, and we will prove it below.

(Lemma)Let \(\mathbf{E}\) and \(\mathbf{F}\) be two finite dimensional Banach spaces. Let \(U\) be open in some Banach space. Let \[ f:U \times \mathbf{E} \to \mathbf{F} \] be a \(C^p\)-morphism such that for each \(x \in U\), the map \[ f_x: \mathbf{E} \to \mathbf{F} \] given by \(f_x(v)=f(x,v)\) is a linear map. Then the map of \(U\) into \(L(\mathbf{E},\mathbf{F})\) given by \(x \mapsto f_x\) is a \(C^p\)-morphism.

**PROOF.** Since \(L(\mathbf{E},\mathbf{F})=L(\mathbf{E},\mathbf{F_1}) \times L(\mathbf{E},\mathbf{F_2}) \times \cdots \times L(\mathbf{E},\mathbf{F_n})\) where \(\mathbf{F}=\mathbf{F_1} \times \cdots \times \mathbf{F_n}\), by induction on the dimension of \(\mathbf{F}\) and \(\mathbf{E}\), it suffices to assume that \(\mathbf{E}\) and \(\mathbf{F}\) are toplinearly isomorphic to \(\mathbb{R}\). But in that case, the function \(f(x,v)\) can be written \(g(x)v\) for some \(g:U \to \mathbb{R}\). Since \(f\) is a morphism, it follows that as a function of each argument \(x\), \(v\) is also a morphism, Putting \(v=1\) shows that \(g\) is also a morphism, which finishes the case when both the dimension of \(\mathbf{E}\) and \(\mathbf{F}\) are equal to \(1\), and the proof is completed by induction. \(\blacksquare\)

To show that **VB 3** is implied by **VB 2**, put \(\mathbf{E}=\mathbf{F}\) as in the lemma. Note that \(\tau_j \circ \tau_i^{-1}\) maps \(U_i \cap U_j \times \mathbf{E}\) to \(\mathbf{E}\), and \(U_i \cap U_j\) is open, and for each \(x \in U_i \cap U_j\), the map \((\tau_j \circ \tau_i^{-1})_x=\tau_{jx} \circ \tau_{ix}^{-1}\) is toplinear, hence linear. Then the fact that \(\varphi\) is a morphism follows from the lemma.

Let \(M\) be any \(n\)-dimensional smooth manifold that you are familiar with, then \(pr:M \times \mathbb{R}^n \to M\) is actually a vector bundle. Here the total space is \(M \times \mathbb{R}^n\) and the base is \(M\) and \(pr\) is the bundle projection but in this case it is simply a projection. Intuitively, on a total space, we can determine a point \(x \in M\), and another component can be any direction in \(\mathbb{R}^n\), hence a *vector*.

We need to verify three conditions carefully. Let \((U_i,\varphi_i)_i\) be any atlas of \(M\), and \(\tau_i\) is the identity map on \(U_i\) (which is naturally of \(C^p\)). We claim that \((U_i,\tau_i)_i\) satisfy the three conditions, thus we get a vector bundle.

For **VB 1** things are clear: since \(pr^{-1}(U_i)=U_i \times \mathbb{R}^n\), the diagram is commutative. Each fiber \(pr^{-1}(x)\) is essentially \((x) \times \mathbb{R}^n\), and still, \(\tau_{jx} \circ \tau_{ix}^{-1}\) is the identity map between \((x) \times \mathbb{R}^n\) and \((x) \times \mathbb{R}^n\), under the same Euclidean topology, hence **VB 2** is verified, and we have no need to verify **VB 3**.

First of all, imagine you have embedded a circle into a Möbius band. Now we try to give some formal definition. As with quotient topology, \(S^1\) can be defined as \[ S^1=I/\sim_1, \]

where \(I\) is the unit interval and \(0 \sim_1 1\) (identifying two ends). On the other hand, the infinite Möbius band can be defined by \[ B= (I \times \mathbb{R})/\sim_2 \] where \((0,v) \sim_2 (1,-v)\) for all \(v \in \mathbb{R}\) (not only identifying two ends of \(I\) but also 'flips' the vertical line). Then all we need is a natural projection on the first component: \[ \pi:B \to S^1. \] And the verification has few difference from the trivial bundle. Quotient topology of Banach spaces follows naturally in this case, but things might be troublesome if we restrict ourself in \(\mathbb{R}^n\).

The first example is relatively rare in many senses. By \(S^n\) we mean the set in \(\mathbb{R}^{n+1}\) with \[
S^n=\{(x_0,x_1,\dots,x_n):x_0^2+x_1^2+\cdots+x_n^2=1\}
\] and the tangent bundle can be defined by \[
TS^n=\{(\mathbf{x},\mathbf{y}):\langle\mathbf{x},\mathbf{y}\rangle=0\} \subset S^{n} \times\mathbb{R}^{n+1},
\] where, of course, \(\mathbf{x} \in S^n\) and \(\mathbf{y} \in \mathbb{R}^{n+1}\). The vector bundle is given by \(pr:TS^n \to S^n\) where \(pr\) is the projection of the first factor. This total space is of course much finer than \(M \times \mathbb{R}^n\) in the first example. Each point in the manifold now is associated with a *tangent space* \(T_x(M)\) at this point.

More generally, we can define it in any Hilbert space \(H\), for example, \(L^2\) space: \[ TS=\{(x,y):\langle x , y \rangle=0\} \subset S \times H \] where \[ S=\{x:\langle x , x \rangle = 1\}. \] The projection is natural: \[ \begin{aligned} \pi: TM &\to M \\ T_x(M) & \mapsto x \end{aligned} \] But we will not cover the verification in this post since it is required to introduce the abstract definition of tangent vectors. This will be done in the following post.

We want to study those 'vectors' associated to some manifold both globally and locally. For example we may want to describe the tangent line of some curves at some point without heavily using elementary calculus stuff. Also, we may want to describe the vector bundle of a manifold globally, for example, when will we have a trivial one? Can we classify the manifold using the behavior of the bundle? Can we make it a little more abstract, for example, consider the class of all isomorphism bundles? How do one bundle *transform* to another? But to do this we need a big amount of definitions and propositions.