Stuck with Optimisation question, help?

Join the discussion
Ask a follow-up here, or get your own question answered by working scientists, mathematicians and engineers — people, not an autocomplete.
Real named experts · corrections over time · the nuance an AI answer skips
18 replies · 3K views
CallumC
Messages
20
Reaction score
0
S=8x2ln(1/2x)

Find the value of x that gives a maximum.

So far I have got, by differentiating: x2+ln(1/2x). [could be wrong]

Btw the way in the question x is a ratio and so cannot equal zero.

Please help and explain how to do it thanks :)
 
on Phys.org
Can you show the steps you took when you differentiated the function?
 
SteamKing said:
First, brush up on taking derivatives. What you have in the OP is way wrong.

I'll take you through my working:

[itex]\frac{dS}{dx}[/itex]=16x3+16xln(1/2x)

16x3+16xln(1/2x)=0. For maximum

16x(x2+ln(1/2x))=0

X2+ln(1/2x)=0
 
Number Nine said:
Can you show the steps you took when you differentiated the function?

I'll take you through my working:

[itex]\frac{dS}{dx}[/itex]=16x3+16xln(1/2x)

16x3+16xln(1/2x)=0. For maximum

16x(x2+ln(1/2x))=0

X2+ln(1/2x)=0
 
yeah the power rule bud, did you use it right?
 
SteamKing said:
I'm confused. In the OP, S = 8x^2 * ln(1/2x)

In post #4, dS/dx = 16x^3 + 16x*ln(1/2x)

?

I think it would be better if you post the entire problem from the beginning and don't try making shortcuts.

I was using the product rule: [itex]\frac{d}{dX}[/itex](fg)=f[itex]^{|}[/itex]g+fg[itex]^{|}[/itex]
 
okay so the first part doesn't vanish they both have x terms so it seems like you lost a a term :/ the natural log term
 
Tenshou said:
okay so the first part doesn't vanish they both have x terms so it seems like you lost a a term :/ the natural log term

Confused :confused: can someone write out the correct solution?
 
Is that the original problem?
 
SteamKing said:
Sorry, we don't do that here at PF.

Look, you don't have a problem with optimization. You have a more basic problem with understanding how to take a derivative.

I don't believe I have a problem with basic differentiation as I have studied it for well over a year and have been fine with it, however I am definitely not an expert. Where about do you believe the problem lies?
 
I think I could have the answer if someone just helps me find x from: (x+ ln(1/2x))=0
 
CallumC said:
(x+ ln(1/2x))=0

Is this the original question?
 
Tenshou said:
Is this the original question?

Original Question:

A communications cable has a copper core with a concentric sheath of insulating material. If x is the ratio of the radius of the core to the thickness of the insulating sheath, the speed of a signal along the cable is given by:

S=8x2ln([itex]\frac{1}{2x}[/itex])

Find the value of x that gives the maximum speed.
 
okay. ## S_{x}## is what you need that is the partial derivative of S with respect to x, so you get something that looks like this after taking the first derivative ##S_{x} = -16x ln( {2x} ) - 4x## So what I did was product rule then chain rule, I am not exactly sure if the last part with subtraction is right I am a little rusty with natural logs so that means that ##dS = S_{x} dx## that should be what you need. But there is still the problem of max. and what you can do to find the max is second derivative test... I think I am missing one term but I am not sure...
 
Last edited:
Tenshou said:
okay. ## S_{x}## is what you need that is the partial derivative of S with respect to x, so you get something that looks like this after taking the first derivative ##S_{x} = -16x ln( {2x} ) - 4x## So what I did was product rule then chain rule, I am not exactly sure if the last part with subtraction is right I am a little rusty with natural logs so that means that ##dS = S_{x} dx## that should be what you need. But there is still the problem of max. and what you can do to find the max is second derivative test... I think I am missing one term but I am not sure...

Partial derivatives?? Why do you need them here. This is a single variable problem. Please don't confuse the OP by bringing up multivariable calculus.