I seem to lack an implicit differentiation technique, should be a quick fix

The partial derivatives of ##u## with respect to ##x## and ##y## are found by using the chain rule and product rule. The resulting equations contain terms with the derivatives of ##u## with respect to ##x## and ##y##. These can be solved for the partial derivatives of ##u## with respect to ##x## and ##y##.
  • #1
inflectious
4
0

Homework Statement



[itex]u = x^u + u^y[/itex]

Find the partial derivatives of ##u## w.r.t. ##x, y##.

Homework Equations



Only the one.

The Attempt at a Solution



I've attempted reducing the problem using logs, but the resulting equations seem no more tenable to me. I'm sure there is a nice trick... it isn't currently in my tool belt.Edit: A further request if anybody has this information at their fingertips. I've been two years removed from my studies of mathematics and physics... I am planning to return as I've found the 'real world' much less interesting and inspiring. I've been going through some old textbooks as a warmup, and although I can still recall many of the intricate mathematical methods used in various branches of physics, my knowledge of elementary manipulations is pretty darn tattered. Mary Boas' text in mathematical methods in physics has been a *great* boon; I am curious as to whether or not a similar text exists for one who desires a "handbook" of mathematical theorems, identities, proofs &c. without all of the detailed explanations and problem sets.
 
Last edited:
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  • #2
I think it boils down to the following: You find it hard to differentiate functions of the form

[tex]f(x) = g(x)^{h(x)}\text.[/tex]

I think it helps to first work out a general formula for this, i.e. something kind of like the product rule, but for powers. Then, you can go back and tackle your original question.

To find such a formula, it helps to (as you tried on your original problem) take logs on both sides.
 
  • #3
Thanks, Ayre!

Seems to boil down to a combination of the ubiquitous chain rule for logarithms of functions and the product rule. So clear now! I should've seen it... hopefully a bit of mathematical intuition returns with study.
 
  • #4
[tex]
\begin{cases}
\frac{\partial u}{\partial x}=\frac{u}{x(1-u\ln{x})}+\frac{u\ln{u}}{1-y}\frac{\partial y}{\partial x}\\

\frac{\partial u}{\partial y}=\frac{u\ln{x}}{1-y}+\frac{u^2}{x(1-u\ln{x})}\frac{\partial x}{\partial y}
\end{cases}
[/tex]

is what I've got so far.

I began doing a bunch of algebra, but figured I'd ask if there were some theorem that might let me solve this with a simple determinant or something instead.
 
  • #5
inflectious said:
[tex]
\begin{cases}
\frac{\partial u}{\partial x}=\frac{u}{x(1-u\ln{x})}+\frac{u\ln{u}}{1-y}\frac{\partial y}{\partial x}\\

\frac{\partial u}{\partial y}=\frac{u\ln{x}}{1-y}+\frac{u^2}{x(1-u\ln{x})}\frac{\partial x}{\partial y}
\end{cases}
[/tex]

is what I've got so far.

That doesn't look right. When doing the partial diff by x, treat y as a constant, and vice versa. The terms [itex]\frac{\partial y}{\partial x}[/itex] and [itex]\frac{\partial x}{\partial y}[/itex] make no sense.

It might help, if in your working, you replaced the other variable with "k" (which your brain "recognises" as a constant), and just used the usual derivative symbol e.g. [itex]\frac{du}{dx}[/itex]. Then work through everything, and put the other symbol back when you present your final answer.
 
Last edited:
  • #6
Curious3141 said:
That doesn't look right. When doing the partial diff by x, treat y as a constant, and vice versa. The terms [itex]\frac{\partial y}{\partial x}[/itex] and [itex]\frac{\partial x}{\partial y}[/itex] make no sense.

It might help, if in your working, you replaced the other variable with "k" (which your brain "recognises" as a constant), and just used the usual derivative symbol e.g. [itex]\frac{du}{dx}[/itex]. Then work through everything, and put the other symbol back when you present your final answer.

##y## isn't a constant with respect to ##x##. The original equation defines a function implicitly; the value of any parameter is dependent upon the other two. I've plugged the equation into mathematica, and the ##\frac{\partial y}{\partial x}## and ##\frac{\partial x}{\partial y}## terms which I've worked out on my own, combined with my partial solution above, contain all of the quantities displayed in the mathematica solution. I'm pretty sure that I'm on the right track. My problem is that the only way I can think of to solve is with horribly tedious algebraic manipulations of the differentials, all of which are very nested within each other.

I was hoping there might be some analog to Cramer's rule for situations such as this.
 
  • #7
inflectious said:
[itex]u = x^u + u^y[/itex]

Find the partial derivatives of ##u## w.r.t. ##x, y##.

Let's look at the partial derivative w.r.t. x. You ought to treat y as a constant, and u(x)[/i] as a function of x only, in all the calculations.

Let us look at the first term on the right-hand side: [itex]x^{u(x)} = \exp \left( u(x) \, \ln x \right)[/itex]. Apply the "chain rule" and the product rule to get:
[tex]
\frac{\partial}{\partial x} \left[ \exp \left( u(x) \, \ln x \right) \right] = \exp \left( u(x) \, \ln x \right) \, \left( u'(x) \, \ln x + u(x) \, \frac{1}{x} \right)
[/tex]
Here [itex]u'(x) = \partial u/\partial x[/itex].

Next, let us look at the second term [itex]\left[ u(y)\right]^{y}[/itex]. This is a power function. Apply the chain rule and the power rule to get:
[tex]
\frac{\partial}{\partial x} \left[ u(x) \right]^{y} = y \, \left[ u(x) \right]^{y - 1} \, u'(x)
[/tex]
The derivative on the left-hand side is obvious. Collect all the terms with [itex]u'(x)[/itex] and solve for this (as an algebraic equation). This is your partial derivative obtained implicitly.
 
  • #8
inflectious said:
##y## isn't a constant with respect to ##x##.

I never said that. I said that when working out the partial derivative of ##u## wrt ##x##, you have to treat ##y## as (if it were) a constant. Similarly, when working out the partial derivative of ##u## wrt ##y##, treat ##x## as (if it were) a constant.

The original equation defines a function implicitly; the value of any parameter is dependent upon the other two.

Sure. But when you take the partial derivative of one variable wrt one other variable, you have to treat the other variable(s) like constant(s).

If you were asked to determine [itex]\frac{\partial y}{\partial x}[/itex], for instance, u would be treated like a constant.

I've plugged the equation into mathematica, and the ##\frac{\partial y}{\partial x}## and ##\frac{\partial x}{\partial y}## terms which I've worked out on my own, combined with my partial solution above, contain all of the quantities displayed in the mathematica solution.

Mathematica will output exactly what you ask it for. Did you actually ask it to work out [itex]\frac{\partial u}{\partial x}[/itex] and [itex]\frac{\partial u}{\partial y}[/itex]? Because those should NOT have terms like [itex]\frac{\partial y}{\partial x}[/itex] or [itex]\frac{\partial x}{\partial y}[/itex] in them.

I'm pretty sure that I'm on the right track.

I don't think so. Please look at Dickfore's post as well.
 
  • #9
inflectious said:

Homework Statement



[itex]u = x^u + u^y[/itex]

Find the partial derivatives of ##u## w.r.t. ##x, y##.


Homework Equations



Only the one.

The Attempt at a Solution



I've attempted reducing the problem using logs, but the resulting equations seem no more tenable to me. I'm sure there is a nice trick... it isn't currently in my tool belt.


Edit: A further request if anybody has this information at their fingertips. I've been two years removed from my studies of mathematics and physics... I am planning to return as I've found the 'real world' much less interesting and inspiring. I've been going through some old textbooks as a warmup, and although I can still recall many of the intricate mathematical methods used in various branches of physics, my knowledge of elementary manipulations is pretty darn tattered. Mary Boas' text in mathematical methods in physics has been a *great* boon; I am curious as to whether or not a similar text exists for one who desires a "handbook" of mathematical theorems, identities, proofs &c. without all of the detailed explanations and problem sets.

Try using the functional power rule.

$$ (f^g)' = \left(e^{g\ln f}\right)' = f^g\left(f'{g \over f} + g'\ln f\right),\quad $$
 

What is implicit differentiation?

Implicit differentiation is a mathematical technique used to find the derivative of a function that is not explicitly expressed in terms of one variable. It allows us to find the rate of change of a function without having to solve for a specific variable.

Why is it important to have a good understanding of implicit differentiation?

Having a good understanding of implicit differentiation is important because it is a useful tool in solving complex equations, especially in areas such as physics, engineering, and economics. It also helps in understanding the behavior of functions and finding critical points.

What are some common mistakes made when using implicit differentiation?

Some common mistakes made when using implicit differentiation include forgetting to apply the chain rule, not properly simplifying the equation, and mistaking a constant for a variable.

What are some strategies for improving my implicit differentiation technique?

To improve your implicit differentiation technique, practice solving a variety of problems, familiarize yourself with the notation used, and make sure to carefully apply the chain rule and simplify the equations before taking the derivative.

Are there any resources available for further learning about implicit differentiation?

Yes, there are many resources available for further learning about implicit differentiation, such as textbooks, online tutorials, and practice problems. You can also consult with a math tutor or professor for personalized help and guidance.

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