Proving that the product rule for differentiating products applies to vectors

AI Thread Summary
To prove the product rule for differentiating the dot product of time-dependent vectors r and s, start by expressing the dot product in terms of its components: r.s = r_x s_x + r_y s_y + r_z s_z. Differentiate this expression with respect to time using the standard rules of differentiation. The result will show that d/dt (r.s) equals r.ds/dt + dr/dt.s, confirming the product rule's applicability to vectors. This proof highlights the importance of component-wise differentiation in vector calculus.
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If r and s are vectors that depend on time, prove that the product rule for differentiating products applies to r.s, that is that:

d/dt (r.s) = r. ds/dt + dr/dt .s


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I'm not entirely sure how I'm supposed to go about proving this, can anyone point me in the right direction, please?

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\frac{d}{dt} (\vec{r}\cdot\vec{s}) = \frac{d}{dt}(r_x s_x + r_y s_y + r_z s_z)
 
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