Rasalhague
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Lee: Introduction to Smooth Manifolds, definition A.18:
He then shows, by the chain rule, that
D_vf(a_0)= \sum_{i=1}^n v^i \frac{\partial }{\partial x^i}f(a) \bigg|_{a_0}
It seems to me, though, that this number depends not only on the direction of v but also on its length. For example if f(x,y,z) = xyz, and v=(1,0,0), then
D_vf(2,3,4) = \begin{pmatrix}yz & xz & xy<br /> \end{pmatrix} \bigg|_{(2,3,4)+0(1,0,0)} \begin{pmatrix}1\\0\\0\end{pmatrix} = 12.
But if w=(2,0,0), then the directional derivative of f "in the direction of w" (which is the same direction as the direction of v) will be
D_vf(2,3,4) = \begin{pmatrix}yz & xz & xy<br /> \end{pmatrix} \bigg|_{(2,3,4)+0(1,0,0)} \begin{pmatrix}2\\0\\0\end{pmatrix} = 24.
So how does the definition make sense for any vector? What am I missing here?
Now suppose f : U \rightarrow \mathbb{R} is a smooth real-valued function on an open set U \subseteq R^n, and a \in U. For any vector v \in \mathbb{R}^n, we define the directional derivative of f in the direction v at a to be the number
D_vf(a)=\frac{\mathrm{d} }{\mathrm{d} t} \bigg|_0 f(a+vt). \enspace\enspace(A.18)
(This denition makes sense for any vector v; we do not require v to be a unit vector as one sometimes does in elementary calculus.)
He then shows, by the chain rule, that
D_vf(a_0)= \sum_{i=1}^n v^i \frac{\partial }{\partial x^i}f(a) \bigg|_{a_0}
It seems to me, though, that this number depends not only on the direction of v but also on its length. For example if f(x,y,z) = xyz, and v=(1,0,0), then
D_vf(2,3,4) = \begin{pmatrix}yz & xz & xy<br /> \end{pmatrix} \bigg|_{(2,3,4)+0(1,0,0)} \begin{pmatrix}1\\0\\0\end{pmatrix} = 12.
But if w=(2,0,0), then the directional derivative of f "in the direction of w" (which is the same direction as the direction of v) will be
D_vf(2,3,4) = \begin{pmatrix}yz & xz & xy<br /> \end{pmatrix} \bigg|_{(2,3,4)+0(1,0,0)} \begin{pmatrix}2\\0\\0\end{pmatrix} = 24.
So how does the definition make sense for any vector? What am I missing here?