Undergrad Fixed Variables in Partial Derivatives

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The discussion centers on the significance of holding different variables fixed when calculating partial derivatives. It highlights that the expression for the partial derivative changes based on which variable is held constant, even for the same function. The example provided illustrates that varying one variable while keeping others fixed leads to different outcomes depending on the chosen parametrization of the surface described by the equations. This emphasizes that the context of the variables matters in determining how changes in one variable affect the function. Understanding these fixed variables is crucial for accurately interpreting the results of partial derivatives in multivariable calculus.
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My physics book is showing an example of why it matters "what variable you hold fixed" when taking the partial derivative. So it asks to show that
##(\frac{\partial{w}}{\partial{x}})_{y} \neq (\frac{\partial{w}}{\partial{x}})_z##
where ##w=xy## and ##x=yz## and the subscripts are what variable is held fixed.

I'm just not sure what it means by holding a variable "fixed" since all other variables except the two in question are treated as constants, so why would it matter whether ##w## is a function of ##(x, y)## or a function of ##(x, z)##
I mean I see that the partial derivatives don't match up, but don't really see why the variables make a difference since they are the same function.
 
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The condition ##x=yz## describes a surface in three dimensions. Now, you can use different sets of variables to parametrise this surface. One choice is to use x and y and another to use x and z. Varying x in the first parametrisation is generally going to give you a displacement in the surface that will be different from the one you obtain if you vary x in the same way in the second parametrisation. The "keeping these variables fixed" essentially tells you what parametrisation is used and therefore exactly what variations should be considered.
 
There are probably loads of proofs of this online, but I do not want to cheat. Here is my attempt: Convexity says that $$f(\lambda a + (1-\lambda)b) \leq \lambda f(a) + (1-\lambda) f(b)$$ $$f(b + \lambda(a-b)) \leq f(b) + \lambda (f(a) - f(b))$$ We know from the intermediate value theorem that there exists a ##c \in (b,a)## such that $$\frac{f(a) - f(b)}{a-b} = f'(c).$$ Hence $$f(b + \lambda(a-b)) \leq f(b) + \lambda (a - b) f'(c))$$ $$\frac{f(b + \lambda(a-b)) - f(b)}{\lambda(a-b)}...

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