Messy partial differentials with chain rule.

In summary, to find the partial derivatives of z with respect to x and y, we take the derivative of each term in the equation and place the corresponding partial derivative next to any terms with z in them. Then we can plug in the given values to find the specific partial derivatives at the point (1,2,4).
  • #1
phewy13
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Homework Statement


the problem asks: Find [tex]\delta[/tex]f/[tex]\delta[/tex]x and [tex]\delta[/tex]f/[tex]\delta[/tex]y at x=1 and y=2 if z=f(x,y) is defined implicitly by 2x[tex]^{}2[/tex]y/z + 3z/xy - xy[tex]\sqrt{}z[/tex] = 3. Note that (1,2,4) is a point on the surface.


Homework Equations


Im not really sure how to approach this one.


The Attempt at a Solution



i started off by saying that [tex]\delta[/tex]f/[tex]\delta[/tex]x is equal to [tex]\delta[/tex]z/[tex]\delta[/tex]x and the same thing for y. i went through and found the partial derivatives of the above equation and it turned out really messy, any help would be greatly appreciated.
 
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  • #2
You're right, [tex] \frac{\partial f}{\partial x}[/tex] is the same as [tex] \frac{\partial z}{\partial x} [/tex].

First we want to find the partial derivative with respect to x. Remember in calculus 1 when we differentiated implicitly, we would place a y', or a dy/dx, or something to denote the derivative of y, everytime we had to take the derivative of a term containing y. We pretty much do the same thing when we take the partial derivative of a function of two or more variables. Everytime you take the derivative of a term with z in it, simply take the derivative and place a [tex] \frac{\partial z}{\partial x} [/tex] next to it.

For example, if I have:

[tex] x^{2}z + y + z^2 = 10 [/tex]

I differentiate both sides with respect to x:

[tex] x^{2}\frac{\partial z}{\partial x} + 2xz + \frac{\partial z}{\partial x}2z = 0 [/tex]

Get all the [tex]\frac{\partial z}{\partial x}[/tex] terms on one side:

[tex]\frac{\partial z}{\partial x} = \frac{-2xz}{x^{2} + 2z}[/tex]

And now you can plug in values. Does this help?
 

FAQ: Messy partial differentials with chain rule.

What is a messy partial differential with chain rule?

A messy partial differential with chain rule is a type of problem in mathematics that involves finding the partial derivative of a multivariable function using the chain rule. It is called "messy" because it can often involve a long and complicated expression.

Why is the chain rule used in partial differentiation?

The chain rule is used in partial differentiation because it allows us to find the rate of change of a function with respect to one variable while holding all other variables constant. This is useful in solving real-world problems where multiple variables are involved.

How do you solve a messy partial differential with chain rule?

To solve a messy partial differential with chain rule, you need to apply the chain rule multiple times, depending on the number of variables involved. You start by finding the derivative of the outermost function, then work your way inwards until you have found all the partial derivatives.

What are some common mistakes when solving messy partial differentials with chain rule?

Some common mistakes when solving messy partial differentials with chain rule include forgetting to apply the chain rule, not simplifying the expression before taking the derivative, and making mistakes in algebraic manipulation.

How can I practice solving messy partial differentials with chain rule?

You can practice solving messy partial differentials with chain rule by working on practice problems or real-world applications. You can also find online resources or textbooks that provide step-by-step solutions to guide you in solving these types of problems.

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