Chain rule

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In calculus, the chain rule describes the derivative of a "function of a function": the composition of two function, where the output z is a given function of an intermediate variable y which is in turn a given function of the input variable x.

Suppose that y is given as a function \,y = g(x) and that z is given as a function \,z = f(y). The rate at which z varies in terms of y is given by the derivative \, f'(y), and the rate at which y varies in terms of x is given by the derivative \, g'(x). So the rate at which z varies in terms of x is the product \,f'(y)\sdot g'(x), and substituting \,y = g(x) we have the chain rule

(f \circ g)' = (f' \circ g) \sdot g' . \,

In order to convert this to the traditional (Leibniz) notation, we notice

 z(y(x))\quad \Longleftrightarrow\quad  z\circ y(x)

and

 (z \circ y)' = (z' \circ y) \sdot y' \quad \Longleftrightarrow\quad 
\frac{\mathrm{d} z(y(x))}{\mathrm{d} x} = \frac{\mathrm{d} z(y)}{\mathrm{d} y} \, \frac{\mathrm{d} y(x)}{ \mathrm{d} x} . \, .

In mnemonic form the latter expression is

\frac{\mathrm{d} z}{\mathrm{d} x} = \frac{\mathrm{d} z}{\mathrm{d} y} \, \frac{\mathrm{d} y}{ \mathrm{d} x} , \,

which is easy to remember, because it as if dy in the numerator and the denominator of the right hand side cancels.

Multivariable calculus

The extension of the chain rule to multivariable functions may be achieved by considering the derivative as a linear approximation to a differentiable function.

Now let F : \mathbf{R}^n \rightarrow \mathbf{R}^m and G : \mathbf{R}^m \rightarrow \mathbf{R}^p be functions with F having derivative DF at a \in \mathbf{R}^n and G having derivative DG at F(a) \in \mathbf{R}^m. Thus DF is a linear map from \mathbf{R}^n \rightarrow \mathbf{R}^m and DG is a linear map from \mathbf{R}^m \rightarrow \mathbf{R}^p. Then F \circ G is differentiable at a \in \mathbf{R}^n with derivative

\mathrm{D}(F \circ G) = \mathrm{D}F \circ \mathrm{D}G . \,

See also

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