How Partial Derivative Changing Variable Formula works ?

In summary, the conversation discusses the changing variable formula in partial derivatives and the concept of keeping other variables constant when taking partial derivatives. The definition of a partial derivative is also explained.
  • #1
pyfgcr
22
0

Homework Statement


The changing variable formula in partial derivative
f(u,v)
x=x(u,v)
y=y(u,v)
(∂f/∂x)y = (∂f/∂u)v(∂u/∂x)y + (∂f/∂v)u(∂v/∂x)y
I khow the how chain rule works, but I don't know why in the (∂f/∂u) v is constant and in the (∂u/∂x) y is constant

Homework Equations


The Attempt at a Solution

 
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  • #2
welcome to pf!

hi pyfgcr! welcome to pf! :smile:
pyfgcr said:
… I don't know why in the (∂f/∂u) v is constant and in the (∂u/∂x) y is constant

that's what a partial derivative is

it's defined as being calculated with all the other variables kept constant

so it actually depends on what the other variables are: for example, if a function f is expressed both as f(x,y,z) and f(r,z,θ) (ie cartesian coordinates and cylindrical coordinates),

then, even though the z is the same, ∂f/∂z is different in each case

(in practice you'll probably avoid confusion by using different letters for the function, f(x,y,z) and g(r,z,θ) … but if you don't, you will need to write either (∂f/∂z)x,y or (∂f/∂z)r,θ :wink:)
 
  • #3
But x is express in u and v, whereas in ∂u/∂x, y is kept constant.
What explain it ?
 
  • #4
Again, that is the definition of the partial derivative.

The partial derivative, with respect to x, of f(x,y) at [itex](x_0, y_0)[/itex] is defined as
[tex]\lim_{h\to 0}\frac{f(x_0+h, y_0)- f(x_0,y_0)}{h}[/tex]
and the partial derivative with respect to y is
[tex]\lim_{y\to 0}\frac{f(x_0, y_0+h)- f(x_0,y_0)}{h}[/tex]

When taking the derivative with respect to one variable, all other variables are held constant.
 
  • #5
So in (∂x/∂u)y, by definition:
(∂x)/(∂u)y=[itex]lim_{h\rightarrow0}[/itex][itex]\frac{x(u_{0},y_{0}+h)-x(u_{0},y_{0})}{h}[/itex]
A little awkward, since x=x(u,v), I think

In equation: (∂f/∂x)y = (∂f/∂u)v(∂u/∂x)y + (∂f/∂v)u(∂v/∂x)y
Why in the term (∂f/∂u)v, v is kept constant, not y.
 
  • #6
On a realistic level, with the variables you've been given, you're going to need to invert something to get [itex]u = u(x,y)[/itex] and the same for [itex]v[/itex].
 
  • #7


tiny-tim said:
that's what a partial derivative is

it's defined as being calculated with all the other variables kept constant

And in (∂u/∂x)y, with x, "the other variable" than u is v, but y is kept constant, not v
 
  • #8
hi pyfgcr! :smile:
pyfgcr said:
f(u,v)
x=x(u,v)
y=y(u,v)
pyfgcr said:
And in (∂u/∂x)y, with x, "the other variable" than u is v …

no

x and y are functions of u and v

u and v are functions of x and y

in particular, u is a function of x and y

so, for u, the "other variable" than x is y

so ∂u/∂x keeps y constant :wink:
 
  • #9
Thanks a lot!
 

FAQ: How Partial Derivative Changing Variable Formula works ?

How do you calculate a partial derivative?

A partial derivative is calculated by taking the derivative of a function with respect to one variable while holding all other variables constant. This is denoted by ∂ (partial symbol) and the variable with respect to which the derivative is being taken. For example, if we have a function f(x,y), the partial derivative with respect to x would be ∂f/∂x and the partial derivative with respect to y would be ∂f/∂y.

What is the purpose of using the partial derivative changing variable formula?

The partial derivative changing variable formula is used to find the rate of change of a function with respect to a specific variable. It allows us to analyze how a small change in one variable affects the output of a function while holding all other variables constant. This is particularly useful in multivariable calculus and optimization problems.

Can the partial derivative changing variable formula be applied to any type of function?

Yes, the partial derivative changing variable formula can be applied to any type of function, including polynomial, exponential, logarithmic, and trigonometric functions. However, it may become more complicated for functions with multiple variables and may require advanced techniques such as the chain rule and product rule.

How do you use the partial derivative changing variable formula to find critical points?

To find critical points using the partial derivative changing variable formula, we first take the partial derivatives of the function with respect to each variable. Then, we set each partial derivative equal to 0 and solve for the variables. The resulting values are the critical points of the function, which can be further analyzed to determine the nature of the critical points (maximum, minimum, or saddle point).

Are there any limitations to using the partial derivative changing variable formula?

The partial derivative changing variable formula has some limitations, particularly when dealing with functions with multiple variables and complex relationships between the variables. In these cases, it may be more challenging to calculate the partial derivatives and interpret the results accurately. Additionally, the formula may not be applicable in certain scenarios, such as when the function is discontinuous or non-differentiable at certain points.

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