Derivative Distribution in Multivariable Calculus

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In the discussion on derivative distribution in multivariable calculus, the user seeks clarification on how to differentiate a function composed of two parts: a base function f0(z) that varies only with height and a perturbation f'(t, x, y, z) that varies with all four variables. It is confirmed that the derivative of the sum of these functions can be expressed as ∂(f0 + f')/∂(x), and since f0 is independent of x, its derivative is zero. The general principle that the derivative is a linear operation is emphasized, allowing for the distribution of derivatives across summed functions. If f0 were also a function of x, the derivative would still apply, and the terms would need to be differentiated accordingly. The conversation highlights the importance of understanding how partial derivatives operate in multivariable contexts.
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I'm trying to simplify this. I have two functions, f0(z), and f'(t, x, y, z). One is the 'base' value that varies only with height, the other is the small 'perturbation' value that varies with all four variables.

I am substituting these into an equation that calls for ∂(f)/∂(x)

Do I write this as ∂ (f0 + f' ) / ∂(x) ?

And if so, how can I simplify it? Since f0 is not a function of x, can I just cross it out completely? Is it equal to ∂(f0) / ∂(x) + ∂(f') / ∂(x) ?
 
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What's "f"?
[edit]
Oh, f is the sum of the two things.
Oops.

And yes, you're right.
Derivative of a sum equals the sum of derivatives.
And yes, ∂(f0) / ∂(x)=0.
 
In this case it is density...

By the way I'd also like to know the general answer here. That is, if the f0 term were a function of x as well.
 
Sorry, I didn't pick up that f:=f0 + f '
somehow. lol
 
Dawei said:
In this case it is density...

By the way I'd also like to know the general answer here. That is, if the f0 term were a function of x as well.

Yes. The derivative is a linear operation, so it distributes. You can see this from the definition. If a function f depends on coordinates x_0,x_1,...,x_n, then the partial derivative of f with respect to one of the x's, x_i for generality, is

\lim_{h \rightarrow 0} \frac{f(x_0,x_1,\dots,x_i+h,\dots,x_n) - f(x_0,x_1,\dots,x_i,\dots,x_n)}{h} = \frac{\partial f(x_0,x_1,\dots,x_i,\dots,x_n)}{\partial x_i}

If you plug in f(x_0,x_1,...,x_n) = f_0(x_0,x_1,...,x_n) + f_1(x_0,x_1,...,x_n), you can rearrange that so that you get the sum of the derivatives. Assuming that f_0 depends only on x_j (for j not equal to i) causes that term to drop out.
 

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