Directional derivatives and non-unit vectors

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The discussion centers on the concept of directional derivatives in the context of smooth real-valued functions defined on open sets in R^n. Specifically, it clarifies that the directional derivative D_vf(a) is defined for any vector v, not just unit vectors, and is influenced by both the direction and the length of v. The participants illustrate this with the function f(x,y,z) = xyz, demonstrating that the directional derivative changes with the magnitude of the vector. The conclusion emphasizes that when the vector is not constrained to unit length, the resulting value does not solely represent directional change, but also incorporates the vector's length.

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Lee: Introduction to Smooth Manifolds, definition A.18:

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 defi ne 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 de nition 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 &amp; xz &amp; 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 &amp; xz &amp; 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?
 
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Rasalhague said:
It seems to me, though, that this number depends not only on the direction of v but also on its length.
...
So how does the definition make sense for any vector? What am I missing here?
It's not that you're missing something, but you're adding in something incorrect -- the hypothesis that the directional derivative doesn't depend on length.

The directional derivative is, in fact, a linear function of v.
 
Perhaps an application would be clarify things. Suppose you are moving along a surface measuring air temperature. If you require that the direction vector, v, be a unit vector "one sometimes does in elementary calculus" (that is, you always move with speed 1), then the measured rate of change of temperature will depend only on the direction . But since, here, he is NOT requireing that v be the unit vector, it will depend on both direction and speed of travel.
 
Ah, okay. Thanks Hurkyl. So is the following correct?

When the vector is required to have unit length, the number at called "the directional derivative of f at a in the direction of v" lives up to its name directional, and tells us the rate of change of the function in that direction; otherwise, it's just a number that could be any number, and so doesn't, by itself, tell us anything about f. Only if we know the function used to produce this number, or know the length of the vector used to produce it, can we tell anything about the behaviour of f.

Ah & aha, thanks HallsofIvy; I was just previewing this before posting and saw your example. Yes, the relaxation of the unit length requirement seems less arbitrary now.
 

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