Fa%C3%A0 Di Bruno's Formula
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Fa%C3%A0 Di Bruno's Formula

Faà di Bruno's formula is an identity in mathematics generalizing the chain rule to higher derivatives. Though it is named after Francesco Faà di Bruno (1855, 1857), he was not the first to state or prove the formula. In 1800, more than 50 years before Faà di Bruno, the French mathematician Louis François Antoine Arbogast had stated the formula in a calculus textbook,[1] which is considered to be the first published reference on the subject.[2]

Perhaps the most well-known form of Faà di Bruno's formula says that

${\displaystyle {d^{n} \over dx^{n}}f(g(x))=\sum {\frac {n!}{m_{1}!\,1!^{m_{1}}\,m_{2}!\,2!^{m_{2}}\,\cdots \,m_{n}!\,n!^{m_{n}}}}\cdot f^{(m_{1}+\cdots +m_{n})}(g(x))\cdot \prod _{j=1}^{n}\left(g^{(j)}(x)\right)^{m_{j}},}$

where the sum is over all n-tuples of nonnegative integers (m1, ..., mn) satisfying the constraint

${\displaystyle 1\cdot m_{1}+2\cdot m_{2}+3\cdot m_{3}+\cdots +n\cdot m_{n}=n.}$

Sometimes, to give it a memorable pattern, it is written in a way in which the coefficients that have the combinatorial interpretation discussed below are less explicit:

${\displaystyle {d^{n} \over dx^{n}}f(g(x))=\sum {\frac {n!}{m_{1}!\,m_{2}!\,\cdots \,m_{n}!}}\cdot f^{(m_{1}+\cdots +m_{n})}(g(x))\cdot \prod _{j=1}^{n}\left({\frac {g^{(j)}(x)}{j!}}\right)^{m_{j}}.}$

Combining the terms with the same value of m1 + m2 + ... + mn = k and noticing that mj has to be zero for j > n − k + 1 leads to a somewhat simpler formula expressed in terms of Bell polynomials Bn,k(x1,...,xnk+1):

${\displaystyle {d^{n} \over dx^{n}}f(g(x))=\sum _{k=1}^{n}f^{(k)}(g(x))\cdot B_{n,k}\left(g'(x),g''(x),\dots ,g^{(n-k+1)}(x)\right).}$

## Combinatorial form

The formula has a "combinatorial" form:

${\displaystyle {d^{n} \over dx^{n}}f(g(x))=(f\circ g)^{(n)}(x)=\sum _{\pi \in \Pi }f^{(\left|\pi \right|)}(g(x))\cdot \prod _{B\in \pi }g^{(\left|B\right|)}(x)}$

where

• ? runs through the set ? of all partitions of the set { 1, ..., n },
• "B ? ?" means the variable B runs through the list of all of the "blocks" of the partition ?, and
• |A| denotes the cardinality of the set A (so that |?| is the number of blocks in the partition ? and |B| is the size of the block B).

## Example

The following is a concrete explanation of the combinatorial form for the n = 4 case.

{\displaystyle {\begin{aligned}(f\circ g)''''(x)={}&f''''(g(x))g'(x)^{4}+6f'''(g(x))g''(x)g'(x)^{2}\\[8pt]&{}+\;3f''(g(x))g''(x)^{2}+4f''(g(x))g'''(x)g'(x)\\[8pt]&{}+\;f'(g(x))g''''(x).\end{aligned}}}

The pattern is:

${\displaystyle {\begin{array}{cccccc}g'(x)^{4}&&\leftrightarrow &&1+1+1+1&&\leftrightarrow &&f''''(g(x))&&\leftrightarrow &&1\\[12pt]g''(x)g'(x)^{2}&&\leftrightarrow &&2+1+1&&\leftrightarrow &&f'''(g(x))&&\leftrightarrow &&6\\[12pt]g''(x)^{2}&&\leftrightarrow &&2+2&&\leftrightarrow &&f''(g(x))&&\leftrightarrow &&3\\[12pt]g'''(x)g'(x)&&\leftrightarrow &&3+1&&\leftrightarrow &&f''(g(x))&&\leftrightarrow &&4\\[12pt]g''''(x)&&\leftrightarrow &&4&&\leftrightarrow &&f'(g(x))&&\leftrightarrow &&1\end{array}}}$

The factor ${\displaystyle g''(x)g'(x)^{2}}$ corresponds to the partition 2 + 1 + 1 of the integer 4, in the obvious way. The factor ${\displaystyle f'''(g(x))}$ that goes with it corresponds to the fact that there are three summands in that partition. The coefficient 6 that goes with those factors corresponds to the fact that there are exactly six partitions of a set of four members that break it into one part of size 2 and two parts of size 1.

Similarly, the factor ${\displaystyle g''(x)^{2}}$ in the third line corresponds to the partition 2 + 2 of the integer 4, (4, because we are finding the fourth derivative), while ${\displaystyle f''(g(x))}$ corresponds to the fact that there are two summands (2 + 2) in that partition. The coefficient 3 corresponds to the fact that there are ${\displaystyle {\tfrac {1}{2}}{\tbinom {4}{2}}=3}$ ways of partitioning 4 objects into groups of 2. The same concept applies to the others.

A memorizable scheme is as follows:

{\displaystyle {\begin{aligned}&{\frac {D^{1}(f\circ {}g)}{1!}}&=\left(f^{(1)}\circ {}g\right){\frac {\frac {g^{(1)}}{1!}}{1!}}\\[8pt]&{\frac {D^{2}(f\circ g)}{2!}}&=\left(f^{(1)}\circ {}g\right){\frac {\frac {g^{(2)}}{2!}}{1!}}&{}+\left(f^{(2)}\circ {}g\right){\frac {{\frac {g^{(1)}}{1!}}{\frac {g^{(1)}}{1!}}}{2!}}\\[8pt]&{\frac {D^{3}(f\circ g)}{3!}}&=\left(f^{(1)}\circ {}g\right){\frac {\frac {g^{(3)}}{3!}}{1!}}&{}+\left(f^{(2)}\circ {}g\right){\frac {\frac {g^{(1)}}{1!}}{1!}}{\frac {\frac {g^{(2)}}{2!}}{1!}}&{}+\left(f^{(3)}\circ {}g\right){\frac {{\frac {g^{(1)}}{1!}}{\frac {g^{(1)}}{1!}}{\frac {g^{(1)}}{1!}}}{3!}}\\[8pt]&{\frac {D^{4}(f\circ g)}{4!}}&=\left(f^{(1)}\circ {}g\right){\frac {\frac {g^{(4)}}{4!}}{1!}}&{}+\left(f^{(2)}\circ {}g\right)\left({\frac {\frac {g^{(1)}}{1!}}{1!}}{\frac {\frac {g^{(3)}}{3!}}{1!}}+{\frac {{\frac {g^{(2)}}{2!}}{\frac {g^{(2)}}{2!}}}{2!}}\right)&{}+\left(f^{(3)}\circ {}g\right){\frac {{\frac {g^{(1)}}{1!}}{\frac {g^{(1)}}{1!}}}{2!}}{\frac {\frac {g^{(2)}}{2!}}{1!}}&{}+\left(f^{(4)}\circ {}g\right){\frac {{\frac {g^{(1)}}{1!}}{\frac {g^{(1)}}{1!}}{\frac {g^{(1)}}{1!}}{\frac {g^{(1)}}{1!}}}{4!}}\end{aligned}}}

## Combinatorics of the Faà di Bruno coefficients

These partition-counting Faà di Bruno coefficients have a "closed-form" expression. The number of partitions of a set of size n corresponding to the integer partition

${\displaystyle \displaystyle n=\underbrace {1+\cdots +1} _{m_{1}}\,+\,\underbrace {2+\cdots +2} _{m_{2}}\,+\,\underbrace {3+\cdots +3} _{m_{3}}+\cdots }$

of the integer n is equal to

${\displaystyle {\frac {n!}{m_{1}!\,m_{2}!\,m_{3}!\,\cdots 1!^{m_{1}}\,2!^{m_{2}}\,3!^{m_{3}}\,\cdots }}.}$

These coefficients also arise in the Bell polynomials, which are relevant to the study of cumulants.

## Variations

### Multivariate version

Let y = g(x1, ..., xn). Then the following identity holds regardless of whether the n variables are all distinct, or all identical, or partitioned into several distinguishable classes of indistinguishable variables (if it seems opaque, see the very concrete example below):[3]

${\displaystyle {\partial ^{n} \over \partial x_{1}\cdots \partial x_{n}}f(y)=\sum _{\pi \in \Pi }f^{(\left|\pi \right|)}(y)\cdot \prod _{B\in \pi }{\partial ^{\left|B\right|}y \over \prod _{j\in B}\partial x_{j}}}$

where (as above)

• ? runs through the set ? of all partitions of the set { 1, ..., n },
• "B ? ?" means the variable B runs through the list of all of the "blocks" of the partition ?, and
• |A| denotes the cardinality of the set A (so that |?| is the number of blocks in the partition ? and |B| is the size of the block B).

More general versions hold for cases where the all functions are vector- and even Banach-space-valued. In this case one needs to consider the Fréchet derivative or Gateaux derivative.

Example

The five terms in the following expression correspond in the obvious way to the five partitions of the set { 1, 2, 3 }, and in each case the order of the derivative of f is the number of parts in the partition:

{\displaystyle {\begin{aligned}{\partial ^{3} \over \partial x_{1}\,\partial x_{2}\,\partial x_{3}}f(y)={}&f'(y){\partial ^{3}y \over \partial x_{1}\,\partial x_{2}\,\partial x_{3}}\\[10pt]&{}+f''(y)\left({\partial y \over \partial x_{1}}\cdot {\partial ^{2}y \over \partial x_{2}\,\partial x_{3}}+{\partial y \over \partial x_{2}}\cdot {\partial ^{2}y \over \partial x_{1}\,\partial x_{3}}+{\partial y \over \partial x_{3}}\cdot {\partial ^{2}y \over \partial x_{1}\,\partial x_{2}}\right)\\[10pt]&{}+f'''(y){\partial y \over \partial x_{1}}\cdot {\partial y \over \partial x_{2}}\cdot {\partial y \over \partial x_{3}}.\end{aligned}}}

If the three variables are indistinguishable from each other, then three of the five terms above are also indistinguishable from each other, and then we have the classic one-variable formula.

### Formal power series version

Suppose ${\displaystyle f(x)=\sum _{n=0}^{\infty }{a_{n}}x^{n}}$ and ${\displaystyle g(x)=\sum _{n=0}^{\infty }{b_{n}}x^{n}}$ are formal power series and ${\displaystyle b_{0}=0}$.

Then the composition ${\displaystyle f\circ g}$ is again a formal power series,

${\displaystyle f(g(x))=\sum _{n=0}^{\infty }{c_{n}}x^{n},}$

where c0 = a0 and the other coefficient cn for n >= 1 can be expressed as a sum over compositions of n or as an equivalent sum over partitions of n:

${\displaystyle c_{n}=\sum _{\mathbf {i} \in {\mathcal {C}}_{n}}a_{k}b_{i_{1}}b_{i_{2}}\cdots b_{i_{k}},}$

where

${\displaystyle {\mathcal {C}}_{n}=\{(i_{1},i_{2},\dots ,i_{k})\,:\ 1\leq k\leq n,\ i_{1}+i_{2}+\cdots +i_{k}=n\}}$

is the set of compositions of n with k denoting the number of parts,

or

${\displaystyle c_{n}=\sum _{k=1}^{n}a_{k}\sum _{\mathbf {\pi } \in {\mathcal {P}}_{n,k}}{\binom {k}{\pi _{1},\pi _{2},...,\pi _{n}}}b_{1}^{\pi _{1}}b_{2}^{\pi _{2}}\cdots b_{n}^{\pi _{n}},}$

where

${\displaystyle {\mathcal {P}}_{n,k}=\{(\pi _{1},\pi _{2},\dots ,\pi _{n})\,:\ \pi _{1}+\pi _{2}+\cdots +\pi _{n}=k,\ \pi _{1}\cdot 1+\pi _{2}\cdot 2+\cdots +\pi _{n}\cdot n=n\}}$

is the set of partitions of n into k parts, in frequency-of-parts form.

The first form is obtained by picking out the coefficient of xn in ${\displaystyle (b_{1}x+b_{2}x^{2}+\cdots )^{k}}$ "by inspection", and the second form is then obtained by collecting like terms, or alternatively, by applying the multinomial theorem.

The special case f(x) = ex, g(x) = ?n >= 1an /n! xn gives the exponential formula. The special case f(x) = 1/(1 − x), g(x) = ?n >= 1 (-an) xn gives an expression for the reciprocal of the formal power series ?n >= 0anxn in the case a0 = 1.

Stanley [4] gives a version for exponential power series. In the formal power series

${\displaystyle f(x)=\sum _{n}{\frac {a_{n}}{n!}}x^{n},}$

we have the nth derivative at 0:

${\displaystyle f^{(n)}(0)=a_{n}.}$

This should not be construed as the value of a function, since these series are purely formal; there is no such thing as convergence or divergence in this context.

If

${\displaystyle g(x)=\sum _{n=0}^{\infty }{\frac {b_{n}}{n!}}x^{n}}$

and

${\displaystyle f(x)=\sum _{n=1}^{\infty }{\frac {a_{n}}{n!}}x^{n}}$

and

${\displaystyle g(f(x))=h(x)=\sum _{n=0}^{\infty }{\frac {c_{n}}{n!}}x^{n},}$

then the coefficient cn (which would be the nth derivative of h evaluated at 0 if we were dealing with convergent series rather than formal power series) is given by

${\displaystyle c_{n}=\sum _{\pi =\left\{B_{1},\ldots ,B_{k}\right\}}a_{\left|B_{1}\right|}\cdots a_{\left|B_{k}\right|}b_{k}}$

where ? runs through the set of all partitions of the set {1, ..., n} and B1, ..., Bk are the blocks of the partition ?, and | Bj | is the number of members of the jth block, for j = 1, ..., k.

This version of the formula is particularly well suited to the purposes of combinatorics.

We can also write with respect to the notation above

${\displaystyle g(f(x))=b_{0}+\sum _{n=1}^{\infty }{\frac {\sum _{k=1}^{n}b_{k}B_{n,k}(a_{1},\ldots ,a_{n-k+1})}{n!}}x^{n},}$

where Bn,k(a1,...,ank+1) are Bell polynomials.

### A special case

If f(x) = ex, then all of the derivatives of f are the same and are a factor common to every term. In case g(x) is a cumulant-generating function, then f(g(x)) is a moment-generating function, and the polynomial in various derivatives of g is the polynomial that expresses the moments as functions of the cumulants.

## Notes

1. ^
2. ^ According to Craik (2005, pp. 120-122): see also the analysis of Arbogast's work by Johnson (2002, p. 230).
3. ^ Hardy, Michael (2006). "Combinatorics of Partial Derivatives". Electronic Journal of Combinatorics. 13 (1): R1.
4. ^ See the "compositional formula" in Chapter 5 of Stanley, Richard P. (1999) [1997]. Enumerative Combinatorics. Cambridge University Press. ISBN 978-0-521-55309-4.