Partial with respect to ln(f(x))

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SUMMARY

The discussion centers on taking the derivative of the function ln(x^c) with respect to ln(p_x). The equation provided is ln(x^c) = ln(p_y^2 I) + ln(p_x + p_y) - ln(p_x) - ln(p_y). The user seeks clarification on how to differentiate the ln(p_x + p_y) term with respect to ln(p_x). The solution involves applying the chain rule, specifically using the intermediate variable approach to derive the necessary expression.

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Homework Statement


I'm working a problem, and I've come to taking the derivative with respect to ln(x):

[itex]\frac{\partial ln(x^{c})}{\partial ln(p_{x})}[/itex]


Homework Equations



ln(x[itex]^{c}[/itex])=ln(p[itex]^{2}_{y}[/itex]I)+ln(p[itex]_{x}[/itex]+p[itex]_{y}[/itex])-ln(p[itex]_{x}[/itex])-ln(p[itex]_{y}[/itex])


The Attempt at a Solution


I've worked it out, but am not sure how the ln(p[itex]_{x}[/itex]+p[itex]_{y}[/itex]) term would derive with respect to ln(p[itex]_{x}[/itex]). Any help would be great. Thanks!

[itex]\frac{\partial ln(x^{c})}{\partial ln(p_{x})}[/itex] = [itex]\frac{\partial}{\partial ln(p_{x})}[/itex](ln(p[itex]_{x}[/itex]+p[itex]_{y}[/itex])) - 1
 
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Probably you can use the chain rule here, finding a convenient "intermediate" variable, e.g.

[tex] \frac{\partial \ln(p_x + p_y)}{\partial \ln(p_x)} = <br /> \frac{\partial \ln(p_x + p_y)}{\partial p_x} \cdot<br /> \frac{\partial p_x}{\partial \ln(p_x)} [/tex]

looks like I could do it
 

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