Partial Derivative of Composite Functions

In summary, the conversation discusses the relationship between the total differential and partial differentials of a function of two variables, as well as whether or not ∂u and ∂v can exist by themselves. It is determined that while we define differentials dx and dy, we do not define partial differentials. The original equation posted is also examined, with the conclusion that ∂u and ∂v do not exist by themselves and that \frac{∂^{2}z}{∂u∂v} = 0 still holds true, even when v and u cannot be held constant while changing the other.
  • #1
darkp0tat0
3
0
Any help would be much appreciated - Is it possible to say the following?

If z = g(s+at) + f(s-at), let u = s+at and v=s-at, where a is a constant.

z = g(u) + f(v), [itex]\frac{∂z}{∂u}[/itex] = g'(u), [itex]\frac{∂^{2}z}{∂v∂u}[/itex] = 0?

or can ∂u and ∂v not even exist because it depends on two variables (a and t), which are the same ones as the ones v depends on.

Thanks!
 
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  • #2
"[tex]\partial u[/tex]" does not exist by itself. While we define "differentials", dx and dy, we do NOT define "partial differentials". Rather, if f(x, y) is a function of the two variables, x and y, we define its "total differential":
[tex]df= \frac{\partial f}{\partial x}dx+ \frac{\partial f}{\partial y}[/tex]

If If z = g(s+at) + f(s-at), let u = s+at and v=s-at, where a is a constant, and z = g(u) + f(v), then
[tex]\frac{\partial z}{\partial s}= \frac{\partial f}{\partial s}+ \frac{\partial g}{\partial s}[/tex]
[tex]= \frac{df}{du}\frac{\partial u}{\partial s}+ \frac{dg}{dv}\frac{\partial v}{\partial s}= \frac{df}{du}(1)+ \frac{dg}{dv}(1)= \frac{df}{du}+ \frac{dg}{dv}[/tex]

Similarly
[tex]\frac{\partial z}{\partial t}= a\frac{df}{du}- a\frac{dg}{dv}[/tex]
 
  • #3
Thanks for your quick reply! I think I get what you mean by ∂u can't exist by itself. Do you think you would be able to take a look at the original equation I posted:

[itex]z = g(u) + f(v),
\frac{∂^{2}z}{∂u∂v} = 0[/itex]

Does that still hold true even when you can't hold v or u constant while changing the other? (they depend on the same two vars)
 

What is a partial derivative of a composite function?

A partial derivative of a composite function is the derivative of a function that is composed of two or more functions. It measures the rate of change of the output with respect to one of the input variables, while holding the other variables constant.

How do you calculate the partial derivative of a composite function?

The partial derivative of a composite function can be calculated using the chain rule. This involves taking the derivative of the outer function and multiplying it by the derivative of the inner function with respect to the variable of interest.

Why is the partial derivative of a composite function important?

The partial derivative of a composite function is important because it allows us to analyze the effects of individual variables on the overall output of a function. It is particularly useful in multivariable calculus and optimization problems.

What is the difference between a partial derivative and a total derivative?

A partial derivative measures the rate of change of one variable in a function, while holding all other variables constant. A total derivative measures the overall rate of change of a function, taking into account all input variables.

Can a partial derivative be negative?

Yes, a partial derivative can be negative. This indicates that the output of the function is decreasing with respect to the variable of interest, while holding all other variables constant.

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