The term "Bell polynomial" refers to univariate exponential polynomials and to related multivariate polynomials.
In the exponential convention used here, the multivariate family consists of partial Bell polynomials and their complete Bell
polynomial sums. The diagram above shows all 15 set
partitions of four objects, grouped by the number of blocks.
Each set block of size contributes a factor
, and the row labels give the partial
Bell polynomials
.
Their sum is the complete
Bell polynomial
.
The corresponding univariate Bell polynomial is the specialization
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(1)
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where
is the univariate Bell polynomial,
the multivariate complete
Bell polynomial, and
the multivariate partial
Bell polynomial. All three families are called Bell polynomials. A generalized
Bell polynomial expresses derivatives of a function composition of any finite number of
functions. An alternative convention defines ordinary
partial Bell polynomials using ordinary
generating functions, whose terms contain
rather than the
used in exponential
generating functions. This changes the coefficients of the polynomials.
A univariate Bell polynomial , also called an exponential polynomial and denoted
(Bell 1934, Roman 1984, pp. 63-67)
is a polynomial, for a nonnegative
integer
,
that generalizes the Bell number
and complementary
Bell number
such that
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(2)
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(3)
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These univariate Bell polynomials generalize the exponential function.
The univariate Bell polynomials should not be confused with Bernoulli polynomials, which are also commonly denoted .
The univariate Bell polynomials are implemented in the Wolfram Language as BellB[n, x].
The first few univariate Bell polynomials are
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(4)
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(5)
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(6)
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(7)
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(8)
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(9)
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(10)
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(OEIS A106800).
forms the associated Sheffer
sequence for
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(11)
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so these polynomials have the exponential generating function
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(12)
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An explicit sum for is
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(13)
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with the convention
when
.
A recurrence relation is
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(14)
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with ,
where
is a binomial coefficient.
The univariate Bell polynomials have the explicit formula
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(15)
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where
is a Stirling number of the second
kind.
A binomial sum is given by
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(16)
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where
is a binomial coefficient.
For ,
the derivative of
is given by
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(17)
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so
satisfies the recurrence equation
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(18)
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