Need help on a partial derivative problem

AI Thread Summary
The discussion focuses on finding the second-order partial derivatives of the function f(x,y)=x^{3}+x^{2}y+x+4 and verifying the equality of mixed partial derivatives f_{xy} and f_{yx}. Initial calculations for the first partial derivatives were presented, but the user expressed confusion about the mixed partials being unequal. Participants pointed out errors in the differentiation process, emphasizing the importance of correctly applying the order of differentiation. They recommended using Jacobi's notation for clarity and highlighted that f_{xy} should be derived from f_{x} with respect to y. The conversation underscores the need for careful differentiation to ensure accurate results in partial derivatives.
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Find the second-order partial derivatives of the given function. In each case, show that the mixed partial derivatives f_{xy} and f_{yx} are equal.

Function:
f(x,y)=x^{3}+x^{2}y+x+4

My work (Correct me if I am wrong):
\frac{\partial{f}}{\partial{x}}}=3x^{2}+2xy+1

\frac{\partial{f}}{\partial{y}}}=x^{2}

f_{xx}=6x+2y

f_{yy}=0

f_{xy}=6x+2y

f_{yx}=0

If I am correct, which I am probably not, how could f_{xy} possibly be equal to f_{yx}? Shouldn't that always be true anyways? If that's so, then obviously I messed up somewhere. Please help!
 
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How did you find those mixed partials? You seem to have done the exact same thing to find f_{xy} as you did for f_{xx} (and the same for yy and yx). I think if you check your work over, you'll see that you differentiated wrt the wrong variables a couple of times :wink:
 
Use Jacobi's notation for partial derivatives.It will leave no room for any confusion once u realize the order of differentiation.And if u use Lagrange's one,do it properly

\frac{\partial f}{\partial x}\equiv f'_{x}

Daniel.
 
Nothing wrong with notation evolving. I've never seen notation like f^\prime_x, though.
 
Did I atleast get the first partial derivatives correct?
 
Your second partials are wrt to the wrong variables

f_{xy} means differentiate f_x with respect to y.
 
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