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Linear Algebra and its Applications
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Linear Algebra and its Applications
Article . 2004
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Linear Algebra and its Applications
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On the convergence and optimization of the Baker–Campbell–Hausdorff formula

On the convergence and optimization of the Baker-Campbell-Hausdorff formula
Authors: Blanes, Sergio; Casas, Fernando;

On the convergence and optimization of the Baker–Campbell–Hausdorff formula

Abstract

The Baker-Campbell-Hausdorff (BCH) series is a very prominent subject in Lie theory. It is useful for fundamental research as well as for applications, e.g., for the numerical treatment of differential equations on manifolds. Consider two noncommutative variables \(X,Y\). Then the BCH series is the formal power series of \(\log(e^Xe^Y)\). Considering a finite-dimensional matrix Lie algebra, the question is, under which conditions the BCH series converges. It is well-known that, in general, the BCH series does not converge globally, while it converges for elements \(X,Y\) sufficiently close to \(1\). The authors collect various estimates appearing in the literature for the convergence domain and improve all of them by a new one, which enlarges the already known estimates significantly. Moreover, they point out that if the commutator of \(X\) and \(Y\) is sufficiently small, \(X+Y\) is in some sense a good estimate for \(\log(e^Xe^Y)\) even if the BCH series does not converge. The paper is completed by considerations on an efficient way to compute the BCH series approximately.

Related Organizations
Keywords

Numerical Analysis, convergence, Algebra and Number Theory, Lie groups, Lie algebras and Lie superalgebras, BCH formula, Lie algebras, Discrete Mathematics and Combinatorics, Structure theory for Lie algebras and superalgebras, Geometry and Topology, Convergence, Baker-Campbell-Hausdorff formula

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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!
45
Top 10%
Top 10%
Average
hybrid