use partial derivatives to approximate the value of \[f(6.1,1.9) \] where \[f(x,y) = (x^{2}-y^{3}-1)^{\frac{ 1 }{ 3 }}\] at \[(6,2)\]
partial derivative with respect to x or y
or both?
The question doesn't state :S so I think both :)
I'll do with respect to x first
what is the partial derivative of f with respect to x? do you know how to do this?
sure thing :)
yeah I think I know :)
okay so compute it and when you have this you simply plug in x=6 and y=2 the same for the partial with respect to y
remember to use the chain rule
I'm not sure if I got the correct f'??
okay so df/dx=1/2 (x^2-y^3-1) ^(1/2- 1) * (2x)
simplifying yields df/dx= x*(x^2-y^3-1)^(-1/2)
now you plug in your values
ohh right! Now I get it, let me just go through that again quickly :)
so I plug in my values into the df/dx ?
yep
so you have 6 (36 -8 -1)^(-1/2)
whoops that doesn't look right
hmm I seem to get \[\frac{ 2\sqrt{3} }{ 3 }\] what did you get?
so when you approximate a value for your f(x,y), using partial derivatives should be comparable to your value f(6.1,1.9) see what you get with your original function when x=6.1 and y=1.9
do you have to use \[fxx \times fyy - (fxy)^{2}\] in the steps to working it out? ?
so this usually works with functions of one variable, i haven't approximated functional evaluations using partial derivatives in a while and was hoping it would be this simple....hmmm maybe you do need another step b/c logically it doesn't make sense
sorry this is all i could offer :-( i tried
ohh actually I can see a few steps I need to do, I'll try them and get back to you :) thank you for your insight though :)
You probably just need to find the equation of the tangent plane at some point close to (x,y) = (6.1,1.9) and then use it to approximate f(6.1,1.9)
how do I go about that? :)
Still confused :S
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