Partial derivatives Q involving homogeneity of degree n

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SUMMARY

The discussion centers on proving that if a function f is homogeneous of degree n, then the equation x∂f/∂x + y∂f/∂y = nf(x,y) holds true. The hint provided suggests using the Chain Rule to differentiate f(tx, ty) with respect to t. Participants explore the relationship between the derivatives and the original function, ultimately leading to the conclusion that applying the Chain Rule correctly will yield the desired result.

PREREQUISITES
  • Understanding of homogeneous functions and their properties
  • Familiarity with the Chain Rule in calculus
  • Knowledge of partial derivatives
  • Basic algebraic manipulation skills
NEXT STEPS
  • Study the application of the Chain Rule in multivariable calculus
  • Review examples of homogeneous functions and their characteristics
  • Practice solving problems involving partial derivatives
  • Explore the implications of homogeneity in optimization problems
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Students studying calculus, particularly those focusing on multivariable functions, as well as educators teaching concepts related to homogeneous functions and partial derivatives.

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Homework Statement



Show that if f is homogeneous of degree n, then

x\frac{\partial f}{\partial x} + y\frac{\partial f}{\partial y} = nf(x,y)

Hint: use the Chain Rule to diff. f(tx,ty) wrt t.

2. The attempt at a solution

I know that if f is homogeneous of degree n then t^nf(x,y) = f(tx,ty)

But I'm really at a conceptual loss here.

I've tried the hint, I let f(tx, ty) = f(a,b) so a = tx and b = ty then

\frac{\partial f}{\partial t} = \frac{\partial f}{\partial a}\frac{\partial a}{\partial t}+\frac{\partial f}{\partial b}\frac{\partial b}{\partial t} \\<br /> \frac{\partial f}{\partial t} = \frac{\partial f}{\partial a}x + \frac{\partial f}{\partial b}y

And I have tried looking at

\frac{d}{dt}t^nf(x,y) = nt^{n-1}f(x,y)

But beyond this I just cannot see what I need to do.

Thanks.
 
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That's a good start. I'll call the first equation in your attempt (1) and the last one (2).
Now in (2) you are taking the derivative (with respect to t) of the left hand of (1). Do the same thing with the right hand and see where that leads you.
 

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