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Copy file name to clipboardExpand all lines: 2-tangentbdl.tex
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@@ -552,7 +552,7 @@ \section{The differential of a smooth map}\label{sec:diffsmooth}
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\begin{example}
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Let's have another look at Example~\ref{ex:vec:chg_coords_polar}.
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The transition map $(x,y) = \tau(\rho,\theta) = (\rho\cos(\theta), \rho\sin(\theta))$ can itself be interpreted as a smooth map $\tau: M=\R_+\times(0,2\pi) \to N=\R^2$ between smooth manifolds.
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The transition map $(x,y) = \tau(\rho,\theta) = (\rho\cos(\theta), \rho\sin(\theta))$ can itself be interpreted as a smooth map $\tau: \R_+\times(0,2\pi)=:M\to N:=\R^2$ between smooth manifolds.
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Let $p=(3, \pi) \in M$ and $v\in T_pM$ the tangent vector
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\begin{equation}
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\end{align}
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which is exactly the same vector we obtained in Example~\ref{ex:vec:chg_coords_polar} by direct computation.
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Since $M$ and $N$ are open subsets of euclidean spaces, we can use the global charts given by the identity maps $\varphi = \id_M$ and $\psi = \id_N$.
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The Jacobian matrix of $\tau$ at $p$ is
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Since $M$ and $N$ are open subsets of euclidean spaces, we can use their global charts given by the identity maps $\varphi = \id_M$ and $\psi = \id_N$.
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The Jacobian matrix of $\tau$ at $p$ is then simply given by
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\begin{equation}
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D\tau(p) =
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\begin{pmatrix}
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\end{pmatrix},
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\end{equation}
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which is the coordinate vector of $d\tau_p(v)$ with respect to the basis $\left\{\frac{\partial}{\partial x}\big|_{\tau(p)}, \frac{\partial}{\partial y}\big|_{\tau(p)}\right\}$.
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And, indeed, is the same vector as before\marginnote{Can you see why? Look carefully at the coefficients}.
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And, indeed, we obtained the same vector as before\footnote{Can you see why? Look carefully at the coefficients!}.
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\end{example}
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This example leads us immediately to the following exercise and the observation that follows it.
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\textit{\small Hint: show that $d F_p \left(\frac{\partial}{\partial x^i}\big|_p\right) (f) = \left(\frac{\partial F^j}{\partial x^i} (p) \frac{\partial}{\partial y^j}\big|_{F(p)}\right) (f)$.}
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\end{exercise}
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\newthought{A particularly important consequence} of this theorem is that if we set $M=\R^m$ and $N=\R^n$ our definition coincides with the Euclidean notion.
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This is easily checked by taking $\varphi = \id_{\R^m}$ and $\psi=\id_{\R^n}$.
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\newthought{A particularly important consequence} of Proposition~\ref{prop:DiffCoords} is that if we set $M=\R^m$ and $N=\R^n$ our definition coincides with the Euclidean notion.
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This can be checked in full generality by taking $\varphi = \id_{\R^m}$ and $\psi=\id_{\R^n}$ along the lines of the previous example.
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Then the coordinates $(x^1,\ldots,x^m)$ are the standard Euclidean coordinates for $\R^m$ and the coordinates $(y^1,\ldots,y^n)$ the ones for $\R^n$.
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Let $f:U\subset\R^m\to\R^n$ be a smooth function and define the linear isomorphisms
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\end{equation}
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where $T_x$ and $T_{F(x)}$ are defined as above.
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\newthought{An aspect of the construction above is particularly disturbing}: it forced us to fix a basis on the spaces; if this were truly necessary it would defeat the purpose of this whole chapter.
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\newthought{There is an aspect of the construction above that is particularly disturbing} to a differential geometer: it forced us to fix a basis on the spaces; if this were truly necessary it would defeat the purpose of this whole chapter.
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Fortunately for us, the following exercise shows that, at any given point, the tangent space to a vector space is \emph{canonically}\footnote{That is, independently of the choice of basis.} identified with the vector space itself.
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