multivariable chain rule
If z=f(x,y) and x,y both depend on t, then dz/dt sums both partials' contributions: f_x\,dx/dt+f_y\,dy/dt.
\dfrac{dz}{dt} = \dfrac{\partial z}{\partial x}\dfrac{dx}{dt} + \dfrac{\partial z}{\partial y}\dfrac{dy}{dt} is a sum with one term per INPUT that itself depends on t — z feels t through x changing, and separately through y changing, and the total rate is both contributions added together. This is the direct generalization of the ordinary chain rule, the special case where z has only one input.
Examples
For z=x^2y with x=\cos t, y=\sin t, at t=\pi/2, dz/dt=(2xy)(-\sin t)+(x^2)(\cos t)=0.
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