Partial derivatives + Chain rule

In summary, Rajvirnijjar is having a hard time with the notation and is asking for help understanding what it means. He has two questions: 1.) Prove the following function is differentiable, and find the derivative at an arbitarary point. 2.) Let f(u,v,w) = (eu-w, cos(v+u) + sin(u+v+w)) and g(x,y) = (ex, cos(y-x), e-y). Calculate fog and D(fog)(0,0). For question 1, Rajvirnijjar is told that he
  • #1
babbagee
74
0
I am having a hard time doing the following problems. First off all the notation is confusing the hell out of me. This is the first time i have used this notation so it is making learning very difficult. Here are my questions.

Prove the following function is differentiable, and find the derivative at an arbitarary point.

1.) f:R2-->R,(x,y)|--> exy

2.) let f(u,v,w) = (eu-w, cos(v+u) + sin(u+v+w)) and
g(x,y) = (ex, cos(y-x), e-y). Calculate fog and D(fog)(0,0).

Thanks.
 
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  • #2
Originally posted by Rajvirnijjar
I am having a hard time doing the following problems. First off all the notation is confusing the hell out of me. This is the first time i have used this notation so it is making learning very difficult. Here are my questions.

Prove the following function is differentiable, and find the derivative at an arbitarary point.

1.) f:R2-->R,(x,y)|--> exy

OK, first for the notation. It says is that your function is a mapping of R2 onto R1. Operationally, all that means is that you are accepting 2 independent variables to determine a single dependent variable.

Second, I don't know why it says to calculate "the" derivative, because this thing has two first partials.

Third, to prove differentiability, you have to prove that the limits:

∂f/∂x=limΔx-->0{f(x+Δx,y)-f(x,y)}/Δx
∂f/∂y=limΔy-->0{f(x,y+Δy)-f(x,y)}/Δy

exist.

Fourth, taking the derivative is a piece of cake. When taking the partial with respect to x (or y), just treat it as the ordinary derivative, and treat the y (or x) as a constant.

2.) let f(u,v,w) = (eu-w, cos(v+u) + sin(u+v+w))

Why is there a comma between the exponential and cosine functions?

and
g(x,y) = (ex, cos(y-x), e-y).

Again, why the commas?

Calculate fog and D(fog)(0,0).

I think you'll have to be more specific with this notation, because "fog" refers to the composite function f(g(x,y)), in which g(x) is substituted for the independent variable in f(u,v,w). But your f(u,v,w) does not have just one independent variable, but three. There is ambiguity in specifying "fog".

So, let me ask you:

For precisely which independent variable of f(u,v,w) are you to substitute g(x,y)?

edit: typo
 
  • #3
as for fog that means the composite function. And as for the commas that is how the book has it.
 
  • #4
for (x,y) maps to e^(xy)

note that for fixed y, the map is diffible as a function of x, find its partial derivative. at a fixed x repeat for y. show these partials are continuous in some neighbourhood of a point, and conclude from thingy-bob's criterion that the function is differentiable at that point with derivative the matrix of partial derivatives.

the second is a simple use of the chain rule.
 
  • #5
Tom, some textbooks use "the" derivative of a function of several variables to mean the gradient.

Rajvirnijjar appears to be studying general derivatives of functions from Rn to Rm where that convention is widely used.

By the way, even in "elementary" calculus of functions of several variables, showing that the partial derivatives exist is not sufficient to show that a function is "differentiable". If I remember correctly, showing that the partial derivatives are continuous is.

As for the commas, f(u,v,w) = (eu-w, cos(v+u) + sin(u+v+w))
is a function from R3 to R2 and
g(x,y) = (ex, cos(y-x), e-y) is a function from R2 to R3- so it does make sense to talk about fog: a function from R2 to R2. It's derivative would be a 2 by 2 matrix (more correctly, the derivative (at a point in R2) would be a linear transformation from R2 to R2, representable by a 2 by 2 matrix in a given coordinates system.
 
  • #6
Originally posted by HallsofIvy
By the way, even in "elementary" calculus of functions of several variables, showing that the partial derivatives exist is not sufficient to show that a function is "differentiable".

Ach, you're right. Demonstrating the existence is necessary and sufficient for differentiability only in the calculus of a single variable.

If I remember correctly, showing that the partial derivatives are continuous is.

Yes, you do remember correctly. I just looked it up, and that is indeed the case.
 
  • #7
Now that I have the time:
You are given that f(u,v,w) = (eu-w, cos(v+u) + sin(u+v+w)) and
g(x,y) = (ex, cos(y-x), e-y).

fog(x,y)= f(ex, cos(y-x), e-y)
= (exp(ex-e-y), cos(cos(y-x)+ex+ sin(ex+ cos(y-x)+ e-y)

You could find Dfog(0,0,0) by differentiating that but that way leads to madness! I suspect your teacher's point is to show how much simpler it is to use the chain rule.

Dg= [ex 0 ]
[sin(y- x) -sin(y-x)]
[0 -e-y]

and Dg(0,0)= [1 0]
[0 0]
[0 -1]

Df= [eu-w 0 -eu-w]
[-sin(v+u)+cos(u+v+w) [-sin(v+u)+cos(u+v+w) cos(u+v+w) ]

Caution! When x= y= 0, u= e0= 1, v= cos(0-0)= 1, and
w= e-0= 1.

Df(1,1,1)= [1 0 1 ]
[-sin(2)+ cos(3) -sin(2)+ cos(3) cos(3)]

Dfog(0,0) is the product of those matrices:
[1 1 ]
[-sin(2)+ cos(3) -cos(3)]
 

1. What is a partial derivative?

A partial derivative is a mathematical concept that measures the rate of change of a function with respect to one of its variables while holding all other variables constant.

2. How is a partial derivative different from a regular derivative?

A partial derivative only considers the change in one variable while keeping all others constant, whereas a regular derivative considers the change in the entire function with respect to one variable.

3. What is the chain rule for partial derivatives?

The chain rule for partial derivatives is a method for calculating the partial derivatives of a composite function. It states that the partial derivative of a composite function is equal to the product of the partial derivatives of the individual functions.

4. Why is the chain rule important in multivariable calculus?

The chain rule is important in multivariable calculus because it allows us to calculate the rate of change of a composite function, which is essential in many real-world applications such as economics, physics, and engineering.

5. How do you apply the chain rule to find a partial derivative?

To apply the chain rule to find a partial derivative, you first need to identify the inner and outer functions in the composite function. Then, take the partial derivative of the outer function with respect to the variable in question, and multiply it by the partial derivative of the inner function with respect to the same variable.

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