Sqrt(|xy|) derivatives at (0,0)

So in this case, the function is not differentiable at (0,0) because the limit does not exist. However, if the limit exists and is equal to the partial derivative calculated using the formula, then the function is differentiable at that point.
  • #1
Curl
758
0
[tex] f(x,y)=\sqrt{|xy|} [/tex]
Do the partial derivatives of f exist at x=0, y=0?
 
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  • #2
Curl said:
[tex] f(x,y)=\sqrt{|xy|} [/tex]
Do the partial derivatives of f exist at x=0, y=0?



Let's see: [itex]\displaystyle{f_x(0,0):=\lim_{x\to 0}\frac{f(x,0)-f(0,0)}{x}=\lim_{x\to 0}\frac{0}{x}}=0[/itex] , and of course the same is true for [itex]f_y(0,0)[/itex]

DonAntonio
 
  • #3
Mathematica could not do it.

And if I write the function as ((xy)^2)^(1/4) then the partial derivative is
[tex]\frac{x y^2}{2 \left(x^2 y^2\right)^{3/4}}[/tex]
which is undefined at (0,0). It means it is not differentiable at 0,0 correct?
 
  • #4
Curl said:
Mathematica could not do it.

Mathematica is not always correct.

And if I write the function as ((xy)^2)^(1/4) then the partial derivative is
[tex]\frac{x y^2}{2 \left(x^2 y^2\right)^{3/4}}[/tex]
which is undefined at (0,0). It means it is not differentiable at 0,0 correct?

Not necessarily. It just means that the usual way of computing the derivative fails at 0.
 
  • #5
Curl said:
Mathematica could not do it.

And if I write the function as ((xy)^2)^(1/4) then the partial derivative is
[tex]\frac{x y^2}{2 \left(x^2 y^2\right)^{3/4}}[/tex]
which is undefined at (0,0). It means it is not differentiable at 0,0 correct?



What's not clear in what I wrote to you? I think it is pretty straightforward, though I can be wrong, of course. Check this.

DonAntonio
 
  • #6
micromass said:
Mathematica is not always correct.



Not necessarily. It just means that the usual way of computing the derivative fails at 0.

that's essentially the point I'm trying to get at. If the "usual way" of computing derivatives fails at a point, doesn't that mean that the function is not differentiable at that point?

Even though partials exist at (0,0) as DonAntonio showed, the function is still not differentiable. So I'm trying to find out to what extent this is true:

"If the "usual way" of taking partials does not yield the correct result at a point, the function is not differentiable at that point".
 
  • #7
Curl said:
that's essentially the point I'm trying to get at. If the "usual way" of computing derivatives fails at a point, doesn't that mean that the function is not differentiable at that point?

Even though partials exist at (0,0) as DonAntonio showed, the function is still not differentiable. So I'm trying to find out to what extent this is true:

"If the "usual way" of taking partials does not yield the correct result at a point, the function is not differentiable at that point".



There is only one way to calculate the (partial or not) derivatives wrt the definition. Now, if these derivatives exist

AND they're continuous at some point then the function is differentiable at that point. This is precisely what does

NOT happen in this case as the partial derivatives aren't cont. at (0,0), and to call something "the usual way" invites confusion and

problems when dealing with mathematics, as what is usual for you might not be so for me and the other way around.

DonAntonio
 
  • #8
Just to clarify for the OP: This does not mean that if the partial derivatives are not continuous at a point, then the function is not differentiable there, which is the converse statement. There are many functions whose derivatives exist everywhere, but the derivative function is not continuous. Likewise, there are nondifferentiable functions whose partial derivatives exist everywhere. They are rarely more than pathological curiosities, however, as the derivative in these cases fail to meet the ideal of being a linear approximation to the function.
In summary, the existence or non-existence of the partial derivatives at a point will not tell you whether the function is differentiable there. If they exist and are continuous, however, then you have a derivative.
 
  • #9
The simple question I was asking is this: if the partial derivatives at a point DISAGREES with what is obtained by using the partial derivative formulas (the way we learned in high school with all the differentiation rules etc etc) then does that mean that the function is not differentiable at that point?

In this example the partial derivatives are both 0 at (0,0), but using the usual "formula" I get
[tex]\frac{x y^2}{2 \left(x^2 y^2\right)^{3/4}}[/tex]
which is undefined at (0,0). So "undefined" and "0" are not the same thing, so there is disagreement, and "coincidentally" the function happens to be non-differentiable at (0,0). Is this a general result? Will the partial derivative "formulas" always fail at non-differentiable points?

Its really a simple question but I don't know if I'm explaining it very well.
 
  • #10
Curl said:
The simple question I was asking is this: if the partial derivatives at a point DISAGREES with what is obtained by using the partial derivative formulas (the way we learned in high school with all the differentiation rules etc etc) then does that mean that the function is not differentiable at that point?

Your expression disagrees with the values of the partial derivatives at the point because the operation of the chain rule is not valid there.
When you take the partial derivative of f(x, y) = ((xy)^2)^(1/4) at the point x = 0, y = 0, with respect to x, you applied the chain rule to the single-variable function f(x) = h(g(x)) where h(g) = g^(1/4) and g(x) = (xy)^2, treating y as a constant. The chain rule states that if f(x) = h(g(x)) and h is differentiable at the point g(0) and g is differentiable at the point x = 0, then f'(0) = h'(g(0))*g'(0). However, h(g) is not differentiable at g(0), so the chain rule is not applicable.
You have to use another method to find the partial derivative of f there, such as the definition of the partial derivative, as applied by DonAntonio.
 
Last edited:
  • #11
Curl said:
The simple question I was asking is this: if the partial derivatives at a point DISAGREES with what is obtained by using the partial derivative formulas (the way we learned in high school with all the differentiation rules etc etc) then does that mean that the function is not differentiable at that point?

In this example the partial derivatives are both 0 at (0,0), but using the usual "formula" I get
[tex]\frac{x y^2}{2 \left(x^2 y^2\right)^{3/4}}[/tex]
That is the "formula" for x and y not equal to 0. If you are asking if the limit, as (x, y) goes to 0 for derivative must give the derivative at (0, 0), the answer is no- a derivative of a function is not necessarily continuous. However, even so a derivative must satisfy the "intermediate value property". If the limit exists, it must be equal to the derivative at that point.

which is undefined at (0,0). So "undefined" and "0" are not the same thing, so there is disagreement, and "coincidentally" the function happens to be non-differentiable at (0,0). Is this a general result? Will the partial derivative "formulas" always fail at non-differentiable points?

Its really a simple question but I don't know if I'm explaining it very well.
 

FAQ: Sqrt(|xy|) derivatives at (0,0)

What is the derivative of Sqrt(|xy|) at (0,0)?

The derivative of Sqrt(|xy|) at (0,0) is undefined. This is because the function is not differentiable at (0,0) due to a corner or cusp at the origin.

Can the derivative of Sqrt(|xy|) at (0,0) be approximated?

Yes, the derivative at (0,0) can be approximated using a limit. By approaching (0,0) from different directions, the limit of the slope of the tangent line can be calculated to approximate the derivative.

What is the significance of the derivative of Sqrt(|xy|) at (0,0)?

The derivative at (0,0) represents the instantaneous rate of change of the function at that point. It can provide insight into the behavior of the function near the origin and can be used to find critical points or extrema.

How does the derivative of Sqrt(|xy|) at (0,0) relate to other derivatives?

The derivative of Sqrt(|xy|) at (0,0) is related to the partial derivatives of the function at (0,0). However, it is not equivalent to the partial derivatives due to the non-differentiability at the origin.

Is the derivative of Sqrt(|xy|) at (0,0) used in any real-world applications?

The concept of the derivative at a specific point is used in various real-world applications, such as optimization problems and physics calculations. However, the specific derivative of Sqrt(|xy|) at (0,0) may not have a direct application and is mostly used for theoretical purposes.

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