Existence of directional derivative

  • #1
songoku
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Homework Statement
Please see below
Relevant Equations
Partial derivative

Direction derivative in the direction of unit vector u = <a, b>:
Du f(x,y) = fx (x,y) a + fy (x,y) b
1697711728618.png


My attempt:
I have proved (i), it is continuous since ##\lim_{(x,y)\rightarrow (0,0)}=f(0,0)##

I also have shown the partial derivative exists for (ii), where ##f_x=0## and ##f_y=0##

I have a problem with the directional derivative. Taking u = <a, b> , I got:
$$Du =\frac{\sqrt[3] y}{3 \sqrt[3] {x^2}}a+\frac{\sqrt[3] x}{3 \sqrt[3] {y^2}}b$$

Then how to check whether the directional derivative exists or not?

Thanks
 
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  • #2
The directional derivative at ##[0,0]## in direction ##[a,b]## (has to be zero since both partial directions are and) is given by
$$
D_{[0,0]}(f)\cdot [a,b]=0=\lim_{h\to 0}\dfrac{f([0,0]+h[a,b])-f([0,0])}{h}
$$
What do you get on the right-hand side for ##f([x,y])= \sqrt[3]{xy}##?
 
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  • #3
fresh_42 said:
The directional derivative at ##[0,0]## in direction ##[a,b]## (has to be zero since both partial directions are and) is given by
$$
D_{[0,0]}(f)\cdot [a,b]=0=\lim_{h\to 0}\dfrac{f([0,0]+h[a,b])-f([0,0])}{h}
$$
What do you get on the right-hand side for ##f([x,y])= \sqrt[3]{xy}##?
$$0=\lim_{h\to 0}\frac{\sqrt[3]{(h^{2}ab)}-0}{h}$$
$$0=\lim_{h\to 0}\frac{(ab)^{\frac{1}{3}}}{h^{\frac{1}{3}}}$$

The limit can only exist if ##(ab)^{\frac{1}{3}}=0## so either ##a=0## or ##b=0## and since ##u## is unit vector, if ##a=0## then ##b=\pm 1## and vice versa

Is my working correct? Thanks
 
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  • #5
Thank you very much fresh_42
 
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1. What is the directional derivative?

The directional derivative of a function at a point in a specific direction is the rate at which the function changes at that point in that direction.

2. How is the directional derivative calculated?

The directional derivative of a function f at a point (x,y) in the direction of a unit vector u = (a,b) is given by the dot product of the gradient of f at (x,y) and the unit vector u, i.e., D_u f(x,y) = ∇f(x,y) ⋅ u = af_x(x,y) + bf_y(x,y).

3. What is the significance of the directional derivative?

The directional derivative helps us understand how a function changes in a specific direction at a given point. It is useful in optimization problems and in understanding the behavior of functions in multivariable calculus.

4. Can the directional derivative exist at every point?

No, the directional derivative may not exist at every point for all functions. The function must be differentiable at the point and the direction must be well-defined for the directional derivative to exist.

5. How is the directional derivative related to the gradient?

The directional derivative is related to the gradient through the dot product formula mentioned earlier. The gradient of a function is a vector that points in the direction of the greatest rate of change of the function, and the directional derivative gives the rate of change in a specific direction.

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