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Copy file name to clipboardExpand all lines: 2-tangentbdl.tex
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\section{Let the fun begin!}
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\newthought{It now remains to define derivatives} of functions between manifolds.
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And, since we saw that euclidean spaces are manifolds, we must mke sure that our definition coincides with the usual one in Euclidean spaces.
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And, since we saw that euclidean spaces are manifolds, we must mke sure that our definition coincides with the usual one in euclidean spaces.
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\begin{marginfigure}[7em]
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\includegraphics{2_1-embedded-sphere-tangent.pdf}
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\end{exercise}
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\begin{exercise}[Tangent vectors as equivalence classes of charts and vectors]
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Let $M$ be a smooth $m$-manifolds with maximal smooth atlas $\Sigma$.
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For $p\in M$, let $\Sigma_p\subset\Sigma$ denote the set of charts $\varphi\in\Sigma$ such that $p$ lies in the image of $\varphi$.
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Let $M$ be a smooth $m$-manifold with maximal smooth atlas $\cA$.
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For $p\in M$, let $\cA_p\subset\cA$ denote the set of charts $\varphi\in\cA$ such that $p$ lies in the domain of $\varphi$.
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\begin{enumerate}
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\item Show that
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\begin{equation}
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(v,\varphi) \sim (w, \psi)
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\quad\Longleftrightarrow\quad
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D(\psi\circ\varphi^{-1})(\varphi(p))v = w.
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\end{equation}
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defines an equivalence relation on $\R^m\times\Sigma_p$.
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\item Let $\cT_p$ denote the set of equivalence classes $[(v,\varphi)]\in\R^m\times\Sigma_p/\!\sim$. For $\varphi\in\Sigma_p$, show that the map $T_\varphi:\R^m\to\cT_p$ given by $T_\varphi v := [(v,\varphi)]$ is a bijection.
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defines an equivalence relation on $\R^m\times\cA_p$.
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\item Let $\cT_p$ denote the set of equivalence classes $[(v,\varphi)]\in\R^m\times\cA_p/\!\sim$. For $\varphi\in\cA_p$, show that the map $T_\varphi:\R^m\to\cT_p$ given by $T_\varphi v := [(v,\varphi)]$ is a bijection.
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Deduce\footnote{Hint: use the previous exercise!} that $\cT_p$ admits a unique vector space structure such that each $T_\varphi$ is a linear isomorphism.
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\item Let $\varphi$ be a chart defined on a neighbourhood of $p$ with local coordinates $x^i = r^i \circ\varphi$ and let $\hat T_\varphi :\R^m \to T_pM$ denote\footnote{As it turns out, this is the same as $T_x$ defined in~\eqref{def:lin_iso_Tp}, however in this exercise we use a different notation to emphasize the dependence on the chart.} the linear isomorphism defined by $\hat T_\varphi e_i = \frac{\partial}{\partial x^i}\big|_p$.
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Show that there exists a linear isomorphism $\mathcal{S}_p:\cT_p\to T_pM$ which in addition satisfies $\mathcal{S}_p \circ T_\varphi = \hat T_\varphi$ for every chart $\varphi$ about $p$.
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\section{The differential of a smooth map}\label{sec:diffsmooth}
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\newthought{In the case of a smooth map between Euclidean spaces}, the total derivative of the map at a point (represented by its Jacobian matrix) is a linear map that represents the best linear approximation to the map near the given point.
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\newthought{In the case of a smooth map between euclidean spaces}, the total derivative of the map at a point (represented by its Jacobian matrix) is a linear map that represents the best linear approximation to the map near the given point.
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\marginnote{If you are curious about what happens if you consider higher order approximations, try to look up \emph{Jet Space} with your favourite search engine.}
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In the manifold case there is a similar linear map but, as we discussed, it makes no sense to talk about a linear map between manifolds: we need to find a suitable linear map between tangent spaces.
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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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Let $F: M \to N$ be a smooth map between the smooth manifolds $M$ and $N$.
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Let $p\in M$. 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 $F$. 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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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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\begin{equation}
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d F_p : T_p M \to T_{F(p)} N, \qquad d F_p (v) (f) := v(f\circ F), \quad\forall f\in C^\infty(N).
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\end{equation}
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\end{definition}
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Indeed, $v \mapsto d F_p (v)$ is a linear map (why?) defining a derivation at $F(p)$ acting on functions in $C^\infty(N)$ (why?) and, as such, is also a tangent vector in $T_F(p)N$.
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Indeed, $v \mapsto d F_p (v)$ is a linear map (why?) defining a derivation at $F(p)$ acting on functions in $C^\infty(N)$ (why?) and, as such, is also a tangent vector in $T_{F(p)}N$.
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\begin{exercise}
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Answer the two \emph{(why?)} above.
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\end{exercise}
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\begin{exercise}
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Let $M = \R^3$ and $N = \R^2$ with coordinates $x=(x^1,x^2,x^3)$ and $y=(y^1,y^2)$ respectively.
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Consider the function $F(x^1,x^2,x^3) = (x^1 x^3, (x^2)^2-1)$.
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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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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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where $\{e_1,\ldots,e_m\}$ denotes the standard basis of $\R^m$ and $\{e_1',\ldots,e_m'\}$ denotes the standard basis of $\R^n$.
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where $\{e_1,\ldots,e_m\}$ denotes the standard basis of $\R^m$ and $\{e_1',\ldots,e_n'\}$ denotes the standard basis of $\R^n$.
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On the one hand, we have the total derivative $Df(x):\R^m\to\R^n$ from multivariable calculus: a linear map, the Jacobian matrix of partial derivatives.
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On the other, we have the differential $df_x : T_x \R^m \to T_{f(x)}\R^m$ defined above: also a linear map, related to the Jacobian matrix of partial derivatives by Proposition~\ref{prop:DiffCoords}.
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For example, since $GL_n(\R)$ is an open submanifold of the vector space $\mathrm{Mat}(n, \R)$, we can identify its tangent space at each point $X\in GL_n(\R)$ with the full space of matrices $\mathrm{Mat}(n, \R)$.
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\begin{exercise}[Tangent space of a product manifold]
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Let $M_1, \ldots, M_k$ be smooth manifolds (without boundary\sidenote[][-8em]{The statement is true also if one (only one!) of the $M_i$ spaces is a smooth manifold with boundary. If there is more than one manifold with boundary, the product space will have ``corners'' that cannot be mapped to half spaces and thus is not a smooth manifold, as a simple example you can consider the closed square $[0,1]\times [0,1]$.}), and for each $j$ let $\pi_j:M_1\times\cdots\times M_k \to M_j$ be the projection onto the $M_j$ factor.
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Let $M_1, \ldots, M_k$ be smooth manifolds (without boundary\footnote{The statement is true also if one (only one!) of the $M_i$ spaces is a smooth manifold with boundary. If there is more than one manifold with boundary, the product space will have ``corners'' that cannot be mapped to half spaces and thus is not a smooth manifold, as a simple example you can consider the closed square $[0,1]\times [0,1]$.}), and for each $j$ let $\pi_j:M_1\times\cdots\times M_k \to M_j$ be the projection onto the $M_j$ factor.
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For any point $p=(p_1,\ldots,p_k)\in M_1\times\cdots\times M_k$, the map
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\section{Tangent vectors as tangents to curves}
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\begin{marginfigure}
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\includegraphics{2_2-curve-on-M.pdf}
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\end{marginfigure}
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Exercise~\ref{ex:tg_curve_iso} may have left some thoughts hanging in the air...
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From the look of it, it seems that there is a relation between tangent spaces and the velocity of a body moving with constant speed.
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In this section we will further explore these thoughts.
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If $M$ is a manifold with or without boundary, we define a \emph{(parametrized) curve in M} to be a smooth\footnote{Continuously differentiable would be enough, but assuming it smooth simplifies the exposition.} map $\gamma : I \to M$, where $I=(a,b)\subseteq\R$ is an interval.
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\marginnote{Conventionally, $b=-a=\epsilon>0$ (the reason will be clear in a second) and we denote the coordinate on $\R$ by $t$ and the derivative of $\gamma$ at a point $t$ by $\gamma'(t)$. We say that a curve \emph{starts at $p\in M$} if $0\in I$ and $\gamma(0) = p$.}
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\end{definition}
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\begin{marginfigure}
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\includegraphics{2_2-curve-on-M.pdf}
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\end{marginfigure}
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Fix $t\in(a,b)$.
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A priori we have two different ways to define the \emph{velocity vector of $\gamma$ at a time $t$}, that is, an element $\gamma'(t) \in T_{\gamma(t)}M$:
where $\left\langle\cdot,\cdot\right\rangle$ is the usual Euclidean dot product. The latter directly comes from computing $dF_p$ and its kernel, which we essentially already did in Example~\ref{ex:s2}.
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where $\left\langle\cdot,\cdot\right\rangle$ is the usual euclidean dot product. The latter directly comes from computing $dF_p$ and its kernel, which we essentially already did in Example~\ref{ex:s2}.
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Take a long deep breath and unfold the definitions in~\eqref{ex:tan_sph}, here it may be useful to draw a picture\footnote{Which is generally always the case in geometry and topology, and most other mathematical fields.}.
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Equation~\eqref{ex:tan_sph} implies that the tangent space to $\bS^2$ at a point $p$ is the plane tangent to $\bS^2$ at $p$, as claimed in Figure~\ref{fig:tan-embedded-sphere}.
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