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Butcher series: A story of rooted trees and numerical methods for evolution equations

2 Pith papers cite this work. Polarity classification is still indexing.

2 Pith papers citing it
abstract

Butcher series appear when Runge-Kutta methods for ordinary differential equations are expanded in power series of the step size parameter. Each term in a Butcher series consists of a weighted elementary differential, and the set of all such differentials is isomorphic to the set of rooted trees, as noted by Cayley in the mid 19th century. A century later Butcher discovered that rooted trees can also be used to obtain the order conditions of Runge-Kutta methods, and he found a natural group structure, today known as the Butcher group. It is now known that many numerical methods also can be expanded in Butcher series; these are called B-series methods. A long-standing problem has been to characterize, in terms of qualitative features, all B-series methods. Here we tell the story of Butcher series, stretching from the early work of Cayley, to modern developments and connections to abstract algebra, and finally to the resolution of the characterization problem. This resolution introduces geometric tools and perspectives to an area traditionally explored using analysis and combinatorics.

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2026 1 2025 1

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representative citing papers

Higher-Order Neyman Orthogonality in Moment-Condition Models

econ.EM · 2026-05-11 · unverdicted · novelty 7.0

Constructs higher-order Neyman-orthogonal moment functions for parametric models where the number of additional nuisance parameters stays independent of the orthogonality order and can be reduced to one scalar.

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Showing 2 of 2 citing papers.

  • Explicit and Effectively Symmetric Schemes for Neural SDEs on Lie Groups cs.LG · 2025-09-24 · unverdicted · none · ref 43 · internal anchor

    Introduces the first explicit near-reversible integrator for neural SDEs on Lie groups by extending EES schemes with Bazavov's commutator-free lift, achieving better stability and up to 10x memory reduction on manifold benchmarks.

  • Higher-Order Neyman Orthogonality in Moment-Condition Models econ.EM · 2026-05-11 · unverdicted · none · ref 20

    Constructs higher-order Neyman-orthogonal moment functions for parametric models where the number of additional nuisance parameters stays independent of the orthogonality order and can be reduced to one scalar.