Condition for differentiability

In summary: It's hard to believe that the definition of differentiability of a function of two variables is not given in any textbook on Calculus of several variables. The existence of partial derivatives of a function at a given point is NOT enough to prove that the function is "differentiable" there. The standard definition is this:F(x, y), a function from R^2 to R (you can extend to as many variables as you like) is "differentiable at (x_0, y_0) if and only if there exist a linear function L(x,y) from R^2 to R and a function \epsilon(x,y) from [R^2 to R such that
  • #1
Mano Jow
18
0
What's the condition for f(x,y) to be differentiable in its domain?

I googled for it but couln't find...

Thanks in advance.
 
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  • #2
Are you asking for partial or total differentiability?
Do you know the definition of differentiability for a function f(x) of one argument?
 
  • #3
What you mean by "total differentiability"? I thought that when derivating a function with multiple variables I should diferentiate it for x and then for y.

For a function of one argument to be differentiable it needs to be countinous in its domain?
 
  • #4
Mano Jow said:
For a function of one argument to be differentiable it needs to be countinous in its domain?
No. A function [itex]x\mapsto f(x)[/itex] is differentiabe at [itex]x_0[/itex] if the limit
[tex]
\lim_{x\to x_0}\frac{f(x)-f(x_0)}{x-x_0}
[/tex]
exists. It is true that if a function is not continuous at a point is certainly not differentiable there.

For functions with more than one argument the partial derivatives are the usual derivatives with all but one variable held constant, while the total derivative is a linear operator which best approximates the function as a whole.

There usually is no general criterion you can check in order to see if a function is differentiable. Of course, for a large class of functions we know that they are differentiable and we also know that differentiability is preserved under algebraic operation and compositions (unless you dived by zero...) so seeing if a given function is differentiable is often easy.

What is the context of your question?
 
  • #5
Uhmmm the question is:
"Verify if each function is differentiable at the points of its domain."
a)f(x,y) = 2x - y
b)f(x,y) = ln(2x²+3y²)
 
  • #6
Mano Jow said:
Uhmmm the question is:
"Verify if each function is differentiable at the points of its domain."
a)f(x,y) = 2x - y
b)f(x,y) = ln(2x²+3y²)

Do you know what the domain is for each of these functions?
 
  • #7
Certainly, if you are asked to prove differentiability of these two functions you are given some sort of definition of this concept.

I suggest you review this definition and then we can see where you might have problems verifying it for the two examples you gave.
 
  • #8
Moderator's note: thread moved to Homework forum from Calculus & Analysis
 
  • #9
Mark44 said:
Do you know what the domain is for each of these functions?

For the first one, the domain is R², right? And for the second, as there is no log of numbers equal or below zero, we have that x²+y²>0. Isn't that right?

Pere Callahan said:
Certainly, if you are asked to prove differentiability of these two functions you are given some sort of definition of this concept.

I suggest you review this definition and then we can see where you might have problems verifying it for the two examples you gave.

The teacher told us to use a certain book to study, but this is not there...


Thanks again.
 
  • #10
It's hard to believe that the definition of differentiability of a function of two variables is not given in any textbook on Calculus of several variables. The existence of partial derivatives of a function at a given point is NOT enough to prove that the function is "differentiable" there. The standard definition is this:

F(x, y), a function from [itex]R^2[/itex] to R (you can extend to as many variables as you like) is "differentiable at [itex](x_0, y_0)[/itex] if and only if there exist a linear function L(x,y) from [itex]R^2[/itex] to R and a function [itex]\epsilon(x,y)[/itex] from [[itex]R^2[/itex] to R such that
[tex]F(x,y)= F(x_0, y_0)+ L(x-x_0, y-y_0)+ \epsilon(x-x_0, y-y_0)[/tex]
and
[tex]\lim_{(x,y)\to (x_0,y_0)} \frac{\epsilon(x-x_0, y-y_0)}{\sqrt{(x-x_0)^2+ (y-y_0)^2}}= 0[/tex]

Roughly, that says that L(x,y) (the derivative of F(x,y) at [itex](x_0, y_0)[/itex] is the "best" linear approximation to F(x,y) in the neighborhood of [itex](x_0, y_0)[/itex]. If you think of z= F(x,y) as defining a surface in [itex]R^3[/itex], that says that the surface has a tangent plane at the point.

That can be hard to use. Probably what you want to use is a theorem normally proved immediatly after that definition is introduced:
"F(x,y) is differentiable at [itex](x_0, y_0)[/itex] if and only if the partial derivatives [itex]\partial F/\partial x[/itex] and [itex]\partial F/\partial y[/itex] exist and are continuous in some neighbohood of [itex](x_0, y_0)[/itex]."
 
  • #11
Mano Jow said:
For the first one, the domain is R², right? And for the second, as there is no log of numbers equal or below zero, we have that x²+y²>0. Isn't that right?
Yes, as far as it goes. For the second function, how else could you describe the domain?
Mano Jow said:
The teacher told us to use a certain book to study, but this is not there...


Thanks again.
 
  • #12
HallsofIvy said:
"F(x,y) is differentiable at [itex](x_0, y_0)[/itex] if and only if the partial derivatives [itex]\partial F/\partial x[/itex] and [itex]\partial F/\partial y[/itex] exist and are continuous in some neighbohood of [itex](x_0, y_0)[/itex]."

But how can I find this [itex](x_0, y_0)[/itex] when the exercise asks if its differentiable in R²?


For the second function, I can also say that the domain is all the circunferences with a radius bigger than 0... does it helps in anything?

Thanks.
 
  • #13
Mano Jow said:
But how can I find this [itex](x_0, y_0)[/itex] when the exercise asks if its differentiable in R²?
A function is differentiable in R2 if it is differentiable at each point in R2.
Mano Jow said:
For the second function, I can also say that the domain is all the circunferences with a radius bigger than 0... does it helps in anything?
I know what you're trying to say, but you're not saying it very well. For this problem, it's easier to say where it is not defined.
 
  • #14
Perhaps I figured that out for the second one:
I should find the partial derivative of the function using limits when x and y tend to 0?

Yet the first one isn't very clear to me...
 
  • #15
Mano Jow said:
Perhaps I figured that out for the second one:
I should find the partial derivative of the function using limits when x and y tend to 0?
Partial derivatives. There are two of them.

The function in the 2nd problem is not defined at (0, 0), so its partial derivatives are not going to be defined there, either.
Mano Jow said:
Yet the first one isn't very clear to me...
But that's the easier one!
You have f(x, y) = 2x - y. What are the two partials? Where are they continuous?
 
  • #16
Sorry, I misspelled the word.

df/dx = 2 and df/dy = -1, and they are continuous in R²... right?
 
  • #18
Now I got it! Thanks a lot everyone for your help!
 

1. What is the definition of differentiability?

Differentiability is a mathematical concept that describes the smoothness of a function. A function is said to be differentiable at a point if its derivative exists at that point. In other words, the function has a well-defined slope at that point.

2. What is the difference between continuity and differentiability?

Continuity and differentiability are related but distinct concepts. Continuity describes the smoothness of a function, while differentiability describes the existence of a derivative. A function can be continuous at a point without being differentiable at that point, but if a function is differentiable at a point, it must also be continuous at that point.

3. What is the geometric interpretation of differentiability?

The geometric interpretation of differentiability is that a differentiable function is locally linear at a given point. This means that the graph of the function can be approximated by a straight line with a well-defined slope at that point.

4. What are the necessary conditions for a function to be differentiable?

In order for a function to be differentiable at a point, it must be continuous at that point and have a well-defined slope (i.e. derivative) at that point. Additionally, the left and right-hand limits of the function must be equal at that point.

5. Can a function be differentiable at a point but not on an interval?

Yes, a function can be differentiable at a single point but not on an interval. This can occur if the function is not continuous on that interval or if the derivative does not exist at certain points within the interval.

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