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

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SUMMARY

The discussion focuses on finding the directional derivative of the function ##f## at the point (1,1,1) using the gradient and directional vector. The gradient is calculated as ##\nabla f = (yz \cos (xyz), xz \cos (xyz), xy \cos (xyz))## for the first case and ##\nabla f = (2x e^{yz}, x^2z e^{yz}, x^2y e^{yz})## for the second case. The directional derivatives are computed as ##D_v f(1,1,1) = \sqrt{3} \cos 1## and ##D_v f(1,1,1) = \frac{4}{\sqrt{3}}e## respectively. The discussion also emphasizes the conditions for differentiability, stating that local existence and continuity of partial derivatives are sufficient for differentiability at a point.

PREREQUISITES
  • Understanding of multivariable calculus concepts, particularly gradients and directional derivatives.
  • Familiarity with the notation and operations involving limits and derivatives.
  • Knowledge of the conditions for differentiability in multivariable functions.
  • Basic proficiency in evaluating exponential and trigonometric functions.
NEXT STEPS
  • Study the concept of directional derivatives in depth, focusing on their geometric interpretation.
  • Learn about the conditions for differentiability in multivariable calculus, referencing Apostol's work.
  • Explore the application of the gradient in optimization problems.
  • Practice calculating gradients and directional derivatives for various multivariable functions.
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Students and professionals in mathematics, particularly those studying multivariable calculus, as well as educators looking to clarify concepts related to gradients and directional derivatives.

chwala
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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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