Find the directional derivative of ##f## at the given point

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Discussion Overview

The discussion revolves around finding the directional derivative of a function at a specific point, including the application of gradient formulas and the conditions for differentiability. Participants explore different approaches to the problem, including verifying calculations and discussing the theoretical underpinnings of differentiability in multivariable calculus.

Discussion Character

  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant presents calculations for the directional derivatives of two functions, providing gradient expressions and evaluating them at the point (1,1,1).
  • Another participant suggests verifying the results using the definition of the directional derivative, emphasizing the requirement for differentiability.
  • Some participants discuss the conditions necessary for differentiability, noting that local existence and continuity of partial derivatives may be sufficient, while pointing out that mere existence of partial derivatives does not guarantee differentiability.
  • One participant acknowledges a misunderstanding regarding the conditions for differentiability and cites a reference to support the clarification about the relationship between partial derivatives and differentiability.

Areas of Agreement / Disagreement

Participants generally agree on the calculations presented for the directional derivatives, but there is a lack of consensus regarding the conditions for differentiability, with multiple views expressed on the necessary criteria.

Contextual Notes

The discussion highlights the nuances in the relationship between the existence of partial derivatives and differentiability, indicating that assumptions about continuity and local behavior of derivatives are relevant but not fully resolved in the conversation.

chwala
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TL;DR
Kindly see attached;
1701428959746.png

Going through this now: pretty straightforward i just want to check that i have covered all aspects including any other approach...

Ok for 15. I have,

##\nabla f= (yz \cos (xyz), xz \cos (xyz), xy \cos (xyz) )##

so,

##D_v f(1,1,1) = \textbf v ⋅\nabla f(1,1,1)##=##\left(\dfrac {1}{\sqrt{3}}, \dfrac{1}{\sqrt{3}}, \dfrac{1}{\sqrt{3} })\right)⋅( \cos 1, \cos 1 , \cos 1) = \dfrac{\cos 1}{\sqrt{3}} + \dfrac{\cos 1}{\sqrt{3}} + \dfrac{\cos 1}{\sqrt{3}} =\dfrac{3}{\sqrt{3}}\cos 1= \sqrt{3} \cos 1 ## Ok for 16. I have,

##\nabla f= (2x e^{yz} , x^2z e^{yz}, x^2y e^{yz} )##

so,

##D_v f(1,1,1) = \textbf v ⋅\nabla f(1,1,1)##=##\left(\dfrac {1}{\sqrt{3}}, \dfrac{1}{\sqrt{3}}, \dfrac{1}{\sqrt{3} })\right)⋅( 2e, e, e) = \dfrac{2e}{\sqrt{3}} + \dfrac{e}{\sqrt{3}} + \dfrac{e}{\sqrt{3}} =\dfrac{4}{\sqrt{3}}e ##
 
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Looks correct to me. You could also evaluate the actual definition to check your answer:

$$ D_{u}f(\mathbf{p}) = \lim_{h \to 0}{\frac{ f(\mathbf{p}+h\mathbf{u}) - f(\mathbf{p}) }{h} } $$

It might be nitpicking for this problem but the gradient formula is only applicable if the function is differentiable (equivalent to saying all partial derivatives exist; they are used in deriving ## D_{u}f(\mathbf{p}) = \nabla f(\mathbf{p}) \cdot \mathbf{u}##)
 
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Don't you need a bit more than existence of partials, to deduce differentiability? I.e. I seem to recall that local existence and continuity of partials is sufficient, and perhaps point wise existence of all directional derivatives, as well as their linear dependence on the direction, is necessary and sufficient.

Pictured geometrically, existence of a directional derivative is existence of a tangent line to the graph in one direction. Existence of all partials is merely existence of tangent lines in each axis direction. Existence of all directional derivatives is existence of tangent lines in every direction, i.e. of a tangent "cone" to the graph, and finally differentiability is existence of that cone plus the fact that it is actually a linear space, i.e. a hyperplane.
 
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mathwonk said:
Don't you need a bit more than existence of partials, to deduce differentiability? I.e. I seem to recall that local existence and continuity of partials is sufficient, and perhaps point wise existence of all directional derivatives, as well as their linear dependence on the direction, is necessary and sufficient.

Pictured geometrically, existence of a directional derivative is existence of a tangent line to the graph in one direction. Existence of all partials is merely existence of tangent lines in each axis direction. Existence of all directional derivatives is existence of tangent lines in every direction, i.e. of a tangent "cone" to the graph, and finally differentiability is existence of that cone plus the fact that it is actually a linear space, i.e. a hyperplane.
You're correct. I misremembered the condition. Differentiability implies existence of partials but the inverse is not necessarily true. This looks to be a sign that I should brush up on my multivariable calculus. :biggrin:

According to Apostol (and as you said), the local existence and continuity of partials at a point is the sufficient condition for differentiability at the point.
 
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