For a continuous function f:R→R, g(t)=t2f(t) is differentiable at zero with g′(0)=0, because [g(h)−g(0)]/h=hf(h)→0. At any nonzero point x, g is differentiable exactly when f is: one direction uses the product rule, and the converse applies it to f(t)=t−2g(t) near x.
The higher-order product rule is
(fg)(n)=∑k=0n(kn)f(k)g(n−k).
For m functions with sufficiently many derivatives, the nth derivative of their product distributes the n differentiations among all factors. If factor j is differentiated kj times, its term has the multinomial coefficient n!/(k1!⋯km!), where the nonnegative integers kj sum to n. Induction on the number of factors proves this from the two-factor Leibniz rule: splitting off the final factor gives a binomial coefficient, which multiplies the previous multinomial coefficient to give the one displayed above. Equivalently, count the ways to choose which of the n successive applications of the product rule differentiate each factor.
At zero, f(x)=x and g(x)=1+∣x∣ give a differentiable productwith derivative one, although g is not differentiable.
f(x)g(x)=x+x∣x∣
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