Directional derivatives and non-unit vectors

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Discussion Overview

The discussion revolves around the concept of directional derivatives in the context of smooth functions, particularly focusing on the implications of using non-unit vectors in their definition. Participants explore the mathematical formulation and its interpretations, as well as practical applications.

Discussion Character

  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • Lee presents the definition of the directional derivative and questions how it can be defined for any vector, suggesting that it seems to depend on both direction and length.
  • Another participant asserts that the directional derivative is a linear function of the vector v, implying that the length does not affect the directional derivative in the way Lee suggests.
  • A practical example is introduced, discussing how the requirement for v to be a unit vector affects the interpretation of the directional derivative as a measure of rate of change in a specific direction.
  • Lee acknowledges the clarification regarding the unit length requirement and reflects on the implications for understanding the behavior of the function based on the directional derivative.

Areas of Agreement / Disagreement

Participants express differing views on whether the directional derivative's value is influenced by the length of the vector. While some argue it is a linear function and thus independent of length, others maintain that the definition implies a dependence on both direction and magnitude.

Contextual Notes

The discussion highlights the nuances in the definition of directional derivatives and the assumptions that may not be explicitly stated, such as the implications of using non-unit vectors.

Rasalhague
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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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