Product Rule (calculus)
In mathematics, the product rule of calculus, which is also called Leibniz's law (see derivation), governs the differentiation of products of differentiable functions.
Discovery of this rule is credited to Leibniz, who demonstrated it using differentials. Here is Leibniz's argument: Let u(x) and v(x) be two differentiable functions of x. Then the differential of uv is
Since the term (du)(dv) is "negligible" (i.e. at least quadratic in du and dv), Leibniz concluded that
and this is indeed the differential form of the product rule. If we divide through by the differential dx, we obtain
which can also be written in "prime notation" as
For example, suppose you want to differentiate f(x) = x2 sin(x). By using the product rule, you get the derivative 2x sin(x) + x2cos(x) (since the derivative of x2 is 2x and the derivative of sin(x) is cos(x)).
One special case of the product rule is the Constant Multiple Rule which states: if c is a real number and f(x) is a differentiable function, then cf(x) is also differentiable, and it derivative equals c multiplied by the derivative of f(x). (This follows from the product rule since the derivative of any constant is zero.)
The product rule can be used to derive the rule for integration by parts and the quotient rule.
Common misconception
It is a common misconception, when studying calculus, to suppose that the derivative of (uv) equals (u')(v'); however, it is quite easy to find counterexamples to this. Most simply, take a function f, whose derivative is f '(x). Now that function can also be written as f(x) · 1, since 1 is the identity element for multiplication. Suppose the above-mentioned misconception were true; if so, (u')(v') would equal zero; since, the derivative of a constant (such as 1) is zero; and, the product, of any number and zero, is zero. Such a misconception could result in a belief that the derivative of every function is the zero function; such a belief is not correct.
Proof of the product rule
A rigorous proof of the product rule can be given using the properties of limits and the definition of the derivative as a limit of Newton's difference quotients:
Suppose
and suppose further that g and h are each differentiable at the fixed number x. Then
Since
,
we have
Since h is continuous at x, we have
and by the definition of the derivative, and the differentiability of h and g at x, we also have
Thus, we are justified in splitting each of the products inside the limit, and putting everything together, we have
and this completes the proof.
Generalizations
The product rule can be generalised to products of more than two factors. For example, for three factors we have
It can also be generalized to higher derivatives of products of two factors: if y = uv and y(n) denotes the n-th derivative of y, then
(see binomial coefficient). This result is formally quite similar to the binomial theorem.
In multivariable calculus, the product rule is also valid for different notions of "product": scalar product and cross product of vectors, matrix product, inner products etc. All of these are summarized by the following general statement: let X, Y, Z be Banach spaces (which includes Euclidean space) and let B : X × Y → Z be a continuous bilinear operator. Then B is differentiable, and its derivative at the point (x,y) in X × Y is the linear map D(x,y)B : X × Y → Z given by
- D(x,y)B(u,v) = B(x,v) + B(u,y) for all (u,v) in X × Y.
See also:
Referenced By
Calculus | Derivative | Derivative (calculus) | Differentation | Differentiable function | Differential calculus | Taylor's theorem | Taylors theorem
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