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Include a brief index
Signed-off-by: Marcello Seri <[email protected]>
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1-manifolds.tex

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@@ -55,7 +55,7 @@ \section{Topological manifolds}\label{sec:top_manifolds}
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\newthought{Since to speak of continuity we need topological spaces}, it may be a good idea to remind you what they are and set some notation.
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I will be very brief: if you need a more extensive reminder, you can refer to Appendix A of either~\cite{book:tu} or~\cite{book:lee}.
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\begin{definition}
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\begin{definition}\idxdef{Topological space}
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Let $X$ be some set and $\cT$ a set of subsets of $X$.
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A pair $(X, \cT)$ is a \emph{topological space}\footnote{In such case the elements $O\in\cT$ of $\cT$ are all subsets of $X$ called \emph{open} subsets and $\cT$ is a \emph{topology} on $X$.} if
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\begin{enumerate}[(i)]
@@ -67,7 +67,7 @@ \section{Topological manifolds}\label{sec:top_manifolds}
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With topological spaces at hand, we can give a definition of continuity and introduce a way to compare topological spaces.
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\begin{definition}
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\begin{definition}\idxdef{Continuous map}\idxdef{Homeomorphism}
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A map $f: X \to Y$ between two topological spaces $(X,\cT)$ and $(Y, \cU)$ is called:
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\begin{itemize}
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\item \emph{continuous} if $U\in\cU$ implies that $f^{-1}(U)\in\cT$, that is, preimages of open sets under $f$ are open;
@@ -80,7 +80,7 @@ \section{Topological manifolds}\label{sec:top_manifolds}
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\vspace{5pt}
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\end{marginfigure}
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\begin{definition}
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\begin{definition}\idxdef{Hausdorff space}
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A topological space $(X, \cT)$ is \emph{Hausdorff} if every two distinct points admit disjoint open neighbourhoods. That is, for every pair $x\neq y$ of points in $X$, there exist open subsets $U_x, U_y\in\cT$ such that $x\in U_x$, $y\in U_y$ and $U_x \cap U_y = \emptyset$.
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\end{definition}
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@@ -96,7 +96,7 @@ \section{Topological manifolds}\label{sec:top_manifolds}
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Hausdorff spaces are still rather general: in particular, any metric space with the metric topology\footnote{Recall that in a metric space $X$ the \emph{metric topology} is defined in the following way: a set $U\subset X$ is called open if for any $x\in U$ there exists $\epsilon>0$ such that $U$ fully contains the ball of radius $\epsilon$ around $x$.} is Hausdorff.
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\begin{definition}
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\begin{definition}\idxdef{Second countable}
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A topological space $(X, \cT)$ is \emph{second countable} if there exists a countable set $\cB\subset\cT$ such that any open set can be written as a union of sets in $\cB$.
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In such case, $\cB$ is called a (countable) basis for the topology $\cT$.
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\end{definition}
@@ -106,7 +106,7 @@ \section{Topological manifolds}\label{sec:top_manifolds}
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Show that the topological space defined on $\R^n$ is Hausdorff and second countable.
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\end{exercise}
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\begin{definition}[Topological manifold]
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\begin{definition}[Topological manifold]\idxdef{Topological manifold}
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A topological space\sidenote[][-1.5em]{From now on, if we say that $X$ is a topological space we are implying that there is a topology $\cT$ defined on $X$.} $M$ is a \emph{topological manifold} of dimension $n$, or topological $n$-manifold, if it has the following properties:
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\marginnote[-0.5em]{Note that the finite dimensionality is a somewhat artificial restriction: manifolds can be infinitely dimensional~\cite{book:lang:infinite}. For example, the space of continuous functions between manifolds is a so-called infinite-dimensional Banach manifold.\vspace{1em}}
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\begin{enumerate}[(i)]
@@ -116,7 +116,7 @@ \section{Topological manifolds}\label{sec:top_manifolds}
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\end{enumerate}
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\end{definition}
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\begin{notation}\label{def:coords_obj}
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\begin{notation}\label{def:coords_obj}\idxdef{Chart}
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Reusing the notation of the definition above, we call \emph{(coordinate) chart} the pair $(U, \varphi)$ of a \emph{coordinate neighbourhood}\footnote{Or \emph{coordinate open set}} $U$ and an associated \emph{coordinate map}\footnote{Or \emph{coordinate system}.} $\varphi: U\to V$ onto an open subset $V=\varphi(U)\subseteq\R^n$ of $\R^n$.
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Furthermore, we say that a chart is \emph{centred at $p\in U$} if $\varphi(p) = 0$.
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\end{notation}
@@ -184,13 +184,13 @@ \section{Differentiable manifolds}
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Before entering into the details of new definitions, let's recall what will be the most important tools throughout the rest of the course.
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\begin{definition}
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\begin{definition}\idxdef{Partition of unity}
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A map $f: U \to V$ between open sets $U\subset\R^n$ and $V\subset\R^m$ is in $C^r(U,V)$ or \emph{of class $C^r$}, if it is continuously differentiable $r$-times.
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It is called a $C^r$-\emph{diffeomorphism}\footnote{With this definition a homeomorphism is a $C^0$-diffeomorphism} if it is bijective and of class $C^r$ with inverse of class $C^r$.
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We say that $f$ is \emph{smooth}, or of class $C^\infty$, if it is of class $C^r$ for every $r \geq 1$.
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\end{definition}
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\begin{theorem}[Chain rule]\label{thm:chainrule}
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\begin{theorem}[Chain rule]\label{thm:chainrule}\idxthm{Chain rule (Euclidean)}
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Let $U\subseteq\R^n$ and $V\subseteq\R^k$ be open sets and $f: U \to \R^k$, $g: V\to\R^m$ two continuously differentiable functions such that $f(U)\subseteq V$.
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Then, the following holds.
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\begin{enumerate}[(i)]
@@ -243,7 +243,7 @@ \section{Differentiable manifolds}
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With these at hand, let's jump into the definition of smooth manifolds.
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\begin{definition}\label{def:cratlas}
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\begin{definition}\label{def:cratlas}\idxdef{Atlas}
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A \emph{smooth atlas} is a collection
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\begin{equation}
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\cA = \{\varphi_\alpha: U_\alpha \to V_\alpha \;\mid\; \alpha\in A\}
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Show that the equivalence of atlases is really an equivalence relation.
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\end{exercise}
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\begin{definition}\label{def:diffstr}
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\begin{definition}\label{def:diffstr}\idxdef{Smooth structure}
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A \emph{differentiable structure}, or more precisely a \emph{smooth structure}, on a topological manifold is an equivalence class of smooth atlases.
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\end{definition}
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\begin{remark}
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The union of all atlases in a differentiable structure is the \emph{unique} \emph{maximal} atlas in the equivalence class.\footnote{There is a one-to-one correspondence between differentiable structures and maximal differentiable atlases \cite[Proposition 1.17]{book:lee}: for convenience and to lighten the notation, from now on, we will always regard a differentiable structure as a differentiable maximal atlas without further comments.}
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\end{remark}
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\begin{definition}\label{def:diffmanifold}
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\begin{definition}\label{def:diffmanifold}\idxdef{Smooth manifold}
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A \emph{smooth manifold} of dimension $n$ is a pair $(M, \cA)$ of a topological $n$-manifold $M$ and a smooth structure $\cA$ on $M$.
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\marginnote[1em]{There are no preferred coordinate charts on a manifold: all coordinate systems compatible with the differentiable structure are on equal footing.}
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\end{definition}
@@ -883,7 +883,7 @@ \section{Partitions of unity}\label{sec:partition_of_unity}
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We are not there yet. To extend this result to our needs will need a new tool, which will be useful throughout the course and in many courses to come.
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\begin{definition}
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\begin{definition}\idxdef{Partition of unity}
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Let $M$ be a smooth manifold. A \emph{partition of unity} is a collection $\{\rho_\alpha \mid \alpha\in A\}$ of functions $\rho_\alpha:M\to\R$ such that
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\begin{enumerate}[(i)]
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\item $0 \leq \rho_\alpha \leq 1$ for all $p\in M$ and $\alpha\in A$;
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Throughout the course we will be mostly interested in partitions of unity $\{\rho_\alpha \mid \alpha\in A\}$ which are \emph{subordinate} to an open cover $\{U_\alpha\mid\alpha\in A\}$, that is, such that $\supp_\alpha(\rho_\alpha) \subset U_\alpha$ for each $\alpha\in A$.
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\begin{theorem}\label{thm:partitionof1}
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\begin{theorem}\label{thm:partitionof1}\idxthm{Partition of unity (existence)}
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\marginnote[1.5em]{We are going to omit the proof of this theorem, for its details you can refer to~\cite[Proposition 13.6]{book:tu} or~\cite[Theorem 2.23]{book:lee}.}
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Let $M$ be a smooth manifold. For any open cover $\{U_\alpha\mid\alpha\in A\}$ of $M$, there exists a partition of unity $\{\rho_\alpha \mid \alpha\in A\}$ subordinate to $\{U_\alpha\mid\alpha\in A\}$.
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\end{theorem}
@@ -972,7 +972,7 @@ \section{Manifolds with boundary}\label{sec:mbnd}
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Explicitly state the definitions above in the case of manifolds with boundary.
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\end{exercise}
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\begin{definition}\label{def:diffmanifoldwb}
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\begin{definition}\label{def:diffmanifoldwb}\idxdef{Manifold with boundary}
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\marginnote{Remember that the differentiable structure is an equivalence class of smooth atlases.}
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A \emph{smooth manifold with boundary} of dimension $n$ is a pair $(M, \cA)$ of a topological $n$-manifold with boundary $M$ and a smooth differentiable structure $\cA = \{(U_\alpha, \varphi_\alpha) \mid \alpha\in A\}$ on $M$.
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10-integration.tex

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@@ -8,10 +8,10 @@
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Not just that, you have seen already that in $\R^n$ there is a notion of standard orientation, but in other vector spaces we may need to make arbitrary choices.
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For manifolds, the situation is much more complicated: for example, on a M\"obius strip\footnote{Cf. Example~\ref{ex:mobius}.} it is impossible to make any such choice, it is non-orientable.
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\section{Orientation on vector spaces}
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\section{Orientation on vector spaces}\idxdef{Orientation}
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Let's proceed step by step by first revisiting some results from multivariable analysis. If you need a reference to review this material, you can refer to \cite[Chapter 6.2]{book:abrahammarsdenratiu} or \cite[Chapters 21.1-21.2]{book:tu}.
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\begin{definition}
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\begin{definition}\idxdef{Oriented manifold}
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Let $V$ be a one-dimensional vector space. Then $V\setminus\{0\}$ has two components.
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An \emph{orientation} of $V$ is a choice of one of these components, which one then labels as ``positive'' and ``negative''.
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A \emph{positive basis} of $V$ then is a choice of any non-zero vector belonging to the positive component, while a \emph{negative basis} of $V$ is a choice of any non-zero vector belonging to the negative component.
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If $V$ be a $n$-dimensional vector space, we know by Proposition~\ref{prop:dimLkV}, that $\Lambda^n(V)$ is a one-dimensional vector space.
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Moreover, if $\{e_1,\ldots,e_n\}$ is a basis for $V$, then $e^1\wedge\cdots\wedge e^n$ is a basis for $\Lambda^n(V)$.
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\begin{definition}
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\begin{definition}\idxdef{Positive orientation}
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Let $V$ be a $n$-dimensional vector space.
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An \emph{orientation} on $V$ is a choice of orientation\footnote{That is, we are talking about a representative from an equivalence class.} on the one-dimensional vector space $\Lambda^n(V)$.
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Therefore there are exactly two orientations: we say that a basis $\{e_1,\ldots,e_n\}$ of $V$ is \emph{positive} (or positively oriented) if $e^1\wedge\cdots\wedge e^n$ is a positive basis of $\Lambda^n(V)$ and \emph{negative} (or negatively oriented) otherwise.
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Moreover, we can extend our point of view to the various tensor bundles over smooth manifold that we studied so far.
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Differential $n$-forms, then, seem a reasonable concept to define a notion of orientation for a manifold, at least if we think about their pointwise meaning of assigning an orientation to each fiber of $TM$.
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\begin{definition}
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A \emph{volume form}\footnote{Sometimes also called \emph{orientation form}.} on a $n$-dimensional smooth manifold $M$ is a $n$-form $\omega\in\Omega^n(M)$ such that $\omega(p) \neq 0$ for all $p\in M$.
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\begin{definition}\idxdef{Orientation-preserving diffeomorphism}
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A \emph{volume form}\footnote{Sometimes also called \emph{orientation form}.}\idxdef{Volume form} on a $n$-dimensional smooth manifold $M$ is a $n$-form $\omega\in\Omega^n(M)$ such that $\omega(p) \neq 0$ for all $p\in M$.
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We say that $M$ is \emph{orientable} if there exists a volume form on $M$.
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\end{definition}
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We are going to state the theorem, discuss some of its consequences and then give its proof.
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\begin{theorem}[Stokes' theorem]\label{thm:Stokes}
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\begin{theorem}[Stokes' theorem]\label{thm:Stokes}\idxthm{Stokes' theorem}
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Let $M$ be an oriented $n$-manifold with boundary and let $\omega\in\Omega^{n-1}(M)$ be compactly supported.
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Then,
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\begin{equation}\label{eq:Stokes}

2-tangentbdl.tex

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@@ -74,7 +74,7 @@ \section{Directional derivatives in Euclidean spaces}\label{sec:dd}
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Define some nontrivial function $f: \R^3 \to \R^4$ and compute the 4 objects described above for that function.
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\end{exercise}
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\section{Germs and derivations}
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\section{Germs and derivations}\idxdef{Germ}\idxdef{Derivation}
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\newthought{To reach our goal, defining derivations on manifolds}, a direct extension of partial derivatives is not enough: we will need to introduce some more levels of abstraction.
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As you can see, working with equivalence classes is doable... but it is also unnecessarily cumbersome.
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As we did with atlases, we would like to get it over with.
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\begin{definition}
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\begin{definition}\idxdef{Derivation of functions at a point}
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Let $M$ be a smooth manifold and $p\in M$.
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Let $W\subseteq M$ be any neighbourhood of $p$.
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\marginnote{We are still talking about derivations of functions at specific points, not to be confused with the derivations of the algebra $C^\infty(W)$ which we will introduce later and will be maps of the kind $C^\infty(W)\to C^\infty(W)$.}
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It should not come a surprise that with the constructions developed so far not only do we have one such map, but we can directly relate it to a derivative.
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\begin{definition}\label{def:differentialMap}
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\begin{definition}\label{def:differentialMap}\idxdef{Differential (of a map)}
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Let $F: M \to N$ be a smooth map between the smooth manifolds $M$ and $N$, and let $p\in M$.
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The \emph{differential $d F_p$ of $F$ at $p$} is the map\footnote{In the differential geometry literature, the differential has many names: you can find it called \emph{tangent map}, \emph{total derivative} or \emph{derivative} of $F$.
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Since it ``pushes'' tangent vectors forward from the domain manifold to the codomain, it is also called the \emph{pushforward}. If that was not enough, different authors use different notations for it: besides $dF_p(v)$, you can find $F_* v_p$, $F'(p)$, $T_pF$, $DF(p)[v]$ or variations thereof.}
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What is $d F_{(1,1,1)} \left(\frac{\partial}{\partial x^1} - 2 \frac{\partial}{\partial x^2}\right)$?
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\end{exercise}
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\begin{theorem}[The chain rule on manifolds]\label{thm:chainrule_mfld}
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\begin{theorem}[The chain rule on manifolds]\label{thm:chainrule_mfld}\idxthm{Chain rule (manifolds)}
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Let $M, N, P$ be smooth manifolds and $F: M \to N$, $G: N\to P$ be two smooth maps. Then
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\marginnote{The alternative $D$ notation, in this case, makes the relation to the usual chain rule even more evident: $D(G\circ F)(p) = DG(F(p))\circ DF(p)$.}
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\begin{equation}
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\label{fig:2_4-v_cur}
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\end{marginfigure}
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This means that we can actually give an alternative definition of $T_pM$ in terms of tangents to curves:
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\begin{definition}\label{def:tg:ascurvespeed}
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\begin{definition}\label{def:tg:ascurvespeed}\idxdef{Tangent vector}
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A tangent vector at $p\in M$ is an equivalence class\footnote{Usually we say that two such equivalent curves have \emph{a first order contact at $p$}.} of smooth curves $\gamma:(-\epsilon, \epsilon)\to M$ such that $\gamma(0)=p$, where $\gamma\sim\delta$ if and only if $(\varphi\circ \gamma)'(0) = (\varphi\circ\delta)'(0)$ for some chart $\varphi$ centred about $p$ (see Lemma~\ref{lem:equiv_tg_curves}).
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\end{definition}
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\textit{\small Hint: use the definitions to rewrite the formula in different ways.}
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\end{exercise}
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\section{The tangent bundle}\label{sec:tangentbundle}
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\section{The tangent bundle}\label{sec:tangentbundle}\idxdef{Tangent bundle}
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Instead of working separately with the various tangent spaces, we can ``glue'' them together into a big manifold.
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