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In
calculus Calculus, originally called infinitesimal calculus or "the calculus of infinitesimals", is the mathematics, mathematical study of continuous change, in the same way that geometry is the study of shape, and algebra is the study of generalizati ...
, the general Leibniz rule, named after
Gottfried Wilhelm Leibniz Gottfried Wilhelm (von) Leibniz . ( – 14 November 1716) was a German polymath active as a mathematician, philosopher, scientist and diplomat. He is one of the most prominent figures in both the history of philosophy and the history of ...
, generalizes the
product rule In calculus, the product rule (or Leibniz rule or Leibniz product rule) is a formula used to find the derivatives of products of two or more functions. For two functions, it may be stated in Lagrange's notation as (u \cdot v)' = u ' \cdot v ...
(which is also known as "Leibniz's rule"). It states that if f and g are n-times
differentiable function In mathematics, a differentiable function of one real variable is a function whose derivative exists at each point in its domain. In other words, the graph of a differentiable function has a non- vertical tangent line at each interior point in ...
s, then the product fg is also n-times differentiable and its nth derivative is given by :(fg)^=\sum_^n f^ g^, where = is the
binomial coefficient In mathematics, the binomial coefficients are the positive integers that occur as coefficients in the binomial theorem. Commonly, a binomial coefficient is indexed by a pair of integers and is written \tbinom. It is the coefficient of the t ...
and f^ denotes the ''j''th derivative of ''f'' (and in particular f^= f). The rule can be proved by using the product rule and
mathematical induction Mathematical induction is a method for proving that a statement ''P''(''n'') is true for every natural number ''n'', that is, that the infinitely many cases ''P''(0), ''P''(1), ''P''(2), ''P''(3), ...  all hold. Informal metaphors help ...
.


Second derivative

If, for example, , the rule gives an expression for the second derivative of a product of two functions: :(fg)''(x)=\sum\limits_^=f''(x)g(x)+2f'(x)g'(x)+f(x)g''(x).


More than two factors

The formula can be generalized to the product of ''m'' differentiable functions ''f''1,...,''f''''m''. :\left(f_1 f_2 \cdots f_m\right)^=\sum_ \prod_f_^\,, where the sum extends over all ''m''-tuples (''k''1,...,''k''''m'') of non-negative integers with \sum_^m k_t=n, and : = \frac are the
multinomial coefficient In mathematics, the multinomial theorem describes how to expand a power of a sum in terms of powers of the terms in that sum. It is the generalization of the binomial theorem from binomials to multinomials. Theorem For any positive integer ...
s. This is akin to the multinomial formula from algebra.


Proof

The proof of the general Leibniz rule proceeds by induction. Let f and g be n-times differentiable functions. The base case when n=1 claims that: : (fg)'=f'g+fg', which is the usual product rule and is known to be true. Next, assume that the statement holds for a fixed n \geq 1, that is, that : (fg)^=\sum_^n\binom f^g^. Then, :\begin (fg)^ &= \left \sum_^n \binom f^ g^ \right \\ &= \sum_^n \binom f^ g^ + \sum_^n \binom f^ g^ \\ &= \sum_^n \binom f^ g^ + \sum_^ \binom f^ g^ \\ &= \binom f^ g + \sum_^ \binom f^ g^ + \sum_^n \binom f^ g^ + \binom fg^ \\ &= \binom f^ g + \left( \sum_^n \left binom + \binom \right^ g^ \right) + \binom fg^ \\ &= \binom f^ g + \sum_^n \binom f^ g^ + \binomfg^ \\ &= \sum_^ \binom f^ g^ . \end And so the statement holds for n+1, and the proof is complete.


Multivariable calculus

With the multi-index notation for
partial derivative In mathematics, a partial derivative of a function of several variables is its derivative with respect to one of those variables, with the others held constant (as opposed to the total derivative, in which all variables are allowed to vary). Pa ...
s of functions of several variables, the Leibniz rule states more generally: :\partial^\alpha (fg) = \sum_ (\partial^ f) (\partial^ g). This formula can be used to derive a formula that computes the
symbol A symbol is a mark, sign, or word that indicates, signifies, or is understood as representing an idea, object, or relationship. Symbols allow people to go beyond what is known or seen by creating linkages between otherwise very different conc ...
of the composition of differential operators. In fact, let ''P'' and ''Q'' be differential operators (with coefficients that are differentiable sufficiently many times) and R = P \circ Q. Since ''R'' is also a differential operator, the symbol of ''R'' is given by: :R(x, \xi) = e^ R (e^). A direct computation now gives: :R(x, \xi) = \sum_\alpha \left(\right)^\alpha P(x, \xi) \left(\right)^\alpha Q(x, \xi). This formula is usually known as the Leibniz formula. It is used to define the composition in the space of symbols, thereby inducing the ring structure.


See also

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References

{{Calculus topics Articles containing proofs Differentiation rules Gottfried Wilhelm Leibniz Mathematical identities Theorems in analysis Theorems in calculus