A tail bound for cumulant series for complex functions of independent random variables
Mikhail Isaev

TL;DR
This paper derives explicit bounds on the truncation error of cumulant series for bounded complex functions of independent random variables, extending previous real-valued results and enabling applications in probability approximations and combinatorics.
Contribution
It extends cumulant series bounds from real to complex functions of independent variables using multidimensional differences, broadening theoretical and practical applications.
Findings
Provides explicit truncation error bounds for complex functions
Extends previous real-valued cumulant bounds to complex functions
Demonstrates applications in Berry--Esseen bounds, graph enumeration, and Edgeworth expansions
Abstract
We obtain explicit bounds on the truncation error of the cumulant series of a bounded complex function of a random vector with independent components. The bounds are based on multidimensional differences. This extends the theory of the author with Brendan McKay and Rui-Ray Zhang (J. Combin. Th., Ser. B, 2025) from real functions to complex functions. We demonstrate some initial applications including a Berry--Esseen bound, an Edgeworth expansion for triangles in random graphs, and enumeration of regular graphs.
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Taxonomy
TopicsProbability and Risk Models
