Validity of Directional Derivatives for Unit Vectors

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The discussion centers on the validity of directional derivatives for unit vectors, specifically denoted as \(\hat{u} = \). It establishes that the directional derivative \(\frac{\partial F}{\partial \hat{u}}\) can be expressed as \(\nabla F \bullet \hat{u}\), where \(\nabla F\) represents the gradient of the function F. The conversation also addresses the implications of treating a, b, and c as constants, leading to the conclusion that the derivative of \(\hat{u}\) would result in the zero vector.

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ayao
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For directional derivatives:

Let \hat{u}=<a,b,c> be the direction.

Thus, \frac{∂\hat{u}}{∂x}=\frac{\sqrt{a^2+b^2+c^2}}{a} and so on. So,

\frac{∂x}{∂\hat{u}}=\frac{a}{\sqrt{a^2+b^2+c^2}}=a

Thus,

\frac{∂F}{∂\hat{u}}=\frac{∂F}{∂x}a+\frac{∂F}{∂y}b+\frac{∂F}{∂z}c=∇F \bullet \hat{u}.
 
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ayao said:
For directional derivatives:

Let \hat{u}=<a,b,c> be the direction.
Are a, b, and c constants? If so, the derivative of ##\hat{u}## would be the zero vector.
ayao said:
Thus, \frac{∂\hat{u}}{∂x}=\frac{\sqrt{a^2+b^2+c^2}}{a} and so on. So,

\frac{∂x}{∂\hat{u}}=\frac{a}{\sqrt{a^2+b^2+c^2}}=a

Thus,

\frac{∂F}{∂\hat{u}}=\frac{∂F}{∂x}a+\frac{∂F}{∂y}b+\frac{∂F}{∂z}c=∇F \bullet \hat{u}.
 
I probably should have defined it better; \hat{u} is a unit vector in the direction that we are trying to find the derivative in. The linear derivatives of \hat{u} are defined as derivatives of a line in that direction.
 

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