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Electronic Journal of Combinatorics
Article . 2006 . Peer-reviewed
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Article . 2006
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Article . 2006
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Article . 2006
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Combinatorics of Partial Derivatives

Combinatorics of partial derivatives
Authors: Michael Hardy;

Combinatorics of Partial Derivatives

Abstract

The natural forms of the Leibniz rule for the $k$th derivative of a product and of Faà di Bruno's formula for the $k$th derivative of a composition involve the differential operator $\partial^k/\partial x_1 \cdots \partial x_k$ rather than $d^k/dx^k$, with no assumptions about whether the variables $x_1,\dots,x_k$ are all distinct, or all identical, or partitioned into several distinguishable classes of indistinguishable variables. Coefficients appearing in forms of these identities in which some variables are indistinguishable are just multiplicities of indistinguishable terms (in particular, if all variables are distinct then all coefficients are 1). The computation of the multiplicities in this generalization of Faà di Bruno's formula is a combinatorial enumeration problem that, although completely elementary, seems to have been neglected. We apply the results to cumulants of probability distributions.

Keywords

11B73, Exact enumeration problems, generating functions, Bell and Stirling numbers, 05-02, Faà di Bruno's formula, 05A18, set partitions, cumulants, Partitions of sets, FOS: Mathematics, Research exposition (monographs, survey articles) pertaining to combinatorics, Mathematics - Combinatorics, Combinatorics (math.CO), 05A15, 05A15; 05A18; 11B73; 05-02

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
84
Top 1%
Top 10%
Average
Green
gold