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We show that without other further assumption than affine equivariance and locality, a numerical integrator has an expansion in a generalized form of Butcher series (B-series) which we call aromatic B-series. We obtain an explicit…

Numerical Analysis · Mathematics 2016-02-24 Hans Munthe-Kaas , Olivier Verdier

We propose a novel way to study numerical methods for ordinary differential equations in one dimension via the notion of multi-indice. The main idea is to replace rooted trees in Butcher's B-series by multi-indices. The latter were…

Numerical Analysis · Mathematics 2025-03-27 Yvain Bruned , Kurusch Ebrahimi-Fard , Yingtong Hou

Butcher series are combinatorial devices used in the study of numerical methods for differential equations evolving on vector spaces. More precisely, they are formal series developments of differential operators indexed over rooted trees,…

Numerical Analysis · Mathematics 2013-04-09 Alexander Lundervold , Hans Munthe-Kaas

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…

Numerical Analysis · Mathematics 2018-09-05 Robert I McLachlan , Klas Modin , Hans Munthe-Kaas , Olivier Verdier

This paper provides a brief history of B-series and the associated Butcher group and presents the new theory of word series and extended word series. B-series (Hairer and Wanner 1976) are formal series of functions parameterized by rooted…

Numerical Analysis · Mathematics 2015-03-25 Jesus Maria Sanz-Serna , Ander Murua

Many algorithms in numerical analysis are affine equivariant: they are immune to changes of affine coordinates. This is because those algorithms are defined using affine invariant constructions. There is, however, a crucial ingredient…

Numerical Analysis · Mathematics 2016-05-25 Olivier Verdier

Lie-Butcher (LB) series are formal power series expressed in terms of trees and forests. On the geometric side LB-series generalizes classical B-series from Euclidean spaces to Lie groups and homogeneous manifolds. On the algebraic side,…

Numerical Analysis · Mathematics 2017-10-30 Hans Z. Munthe-Kaas , Kristoffer K. Føllesdal

The exotic aromatic Butcher series were originally introduced for the calculation of order conditions for the high order numerical integration of ergodic stochastic differential equations in $\mathbb{R}^d$ and on manifolds. We prove in this…

Numerical Analysis · Mathematics 2024-09-04 Adrien Laurent , Hans Munthe-Kaas

In this paper we present an efficient and robust approach to compute a normalized B-spline-like basis for spline spaces with pieces drawn from extended Tchebycheff spaces. The extended Tchebycheff spaces and their dimensions are allowed to…

Numerical Analysis · Mathematics 2020-12-08 Rene R. Hiemstra , Thomas J. R. Hughes , Carla Manni , Hendrik Speleers , Deepesh Toshniwal

For quantum systems described by finite matrices, linear and affine maps of matrices are shown to provide equivalent descriptions of evolution of density matrices for a subsystem caused by unitary Hamiltonian evolution in a larger system;…

Quantum Physics · Physics 2009-11-10 Thomas F. Jordan

From the simplest point of view, transseries are a new kind of expansion for real-valued functions. But transseries constitute much more than that--they have a very rich (algebraic, combinatorial, analytic) structure. The set of transseries…

Rings and Algebras · Mathematics 2010-11-08 G. A. Edgar

B-series originated from the work of John Butcher in the 1960s as a tool to analyze numerical integration of differential equations, in particular Runge-Kutta methods. Connections to renormalization theory in perturbative quantum field…

Numerical Analysis · Mathematics 2011-06-07 Alexander Lundervold , Hans Munthe-Kaas

Associated to any affine space A endowed with a metric structure of arbitrary signature we consider the space of affine functionals operating on the space of quadratic functions of A. On this functional space we characterize a symmetric…

Metric Geometry · Mathematics 2023-05-04 Ana Casimiro , Cesar Rodrigo

The Butcher group is a powerful tool to analyse integration methods for ordinary differential equations, in particular Runge--Kutta methods. Recently, a natural Lie group structure has been constructed for this group. Unfortunately, the…

Group Theory · Mathematics 2016-05-12 Geir Bogfjellmo , Alexander Schmeding

The perturbation expansion of the solution of a fixed point equation or of an ordinary differential equation may be expressed as a power series in the perturbation parameter. The terms in this series are indexed by rooted trees and depend…

Combinatorics · Mathematics 2021-03-30 William G. Faris

In this article, we consider some generalizations of polynomial and exponential B-splines. Firstly, the extension from integral to complex orders is reviewed and presented. The second generalization involves the construction of uncountable…

Metric Geometry · Mathematics 2019-02-18 Peter Massopust

Departing from a class of infinite series with central binomial coefficients in the numerator and depending on a positive integer parameter, we first extend known identities to all complex parameters. Then we use various methods, including…

Number Theory · Mathematics 2025-11-04 Karl Dilcher , Christophe Vignat

The purpose of this paper is to study some new concrete approximation processes for continuous vector-valued mappings defined on the infinite dimensional cube or on a subset of a real Hilbert space. In both cases these operators are…

Functional Analysis · Mathematics 2010-05-27 Lorenzo D'Ambrosio

Normal multi-scale transform [4] is a nonlinear multi-scale transform for representing geometric objects that has been recently investigated [1, 7, 10]. The restrictive role of the exact order of polynomial reproduction $P_e$ of the…

Numerical Analysis · Mathematics 2013-11-19 Stanislav Harizanov

Bayesian networks (BNs) are graphical \emph{first-order} probabilistic models that allow for a compact representation of large probability distributions, and for efficient inference, both exact and approximate. We introduce a…

Logic in Computer Science · Computer Science 2023-12-12 Claudia Faggian , Daniele Pautasso , Gabriele Vanoni
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