2009
DOI: 10.1016/j.jat.2008.08.018
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Splitting methods for SU(N) loop approximation

Abstract: The problem of finding the correct asymptotic rate of approximation by polynomial loops in dependence of the smoothness of the elements of a loop group seems not well-understood in general. For matrix Lie groups such as SU(N ), it can be viewed as a problem of nonlinearly constrained trigonometric approximation. Motivated by applications to optical FIR filter design and control, we present some initial results for the case of SU(N )-loops, N ≥ 2. In particular, using representations via the exponential map and… Show more

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Cited by 4 publications
(24 citation statements)
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“…This approximation rate was significantly improved when employing higher-order splitting methods [8], at least for α > 1. In short, the approach to the problem was as follows: by suitable factorization, the problem was reduced to studying U(t) = e X(t) , where X(t) ∈ Lip α (T → su(N)); X(t) was approximated componentwise by linear methods, and then a splitting method for the exponential map was applied to obtain a polynomial SU(N )-valued loop.…”
Section: π N (T → R) := P N (T) =mentioning
confidence: 96%
See 4 more Smart Citations
“…This approximation rate was significantly improved when employing higher-order splitting methods [8], at least for α > 1. In short, the approach to the problem was as follows: by suitable factorization, the problem was reduced to studying U(t) = e X(t) , where X(t) ∈ Lip α (T → su(N)); X(t) was approximated componentwise by linear methods, and then a splitting method for the exponential map was applied to obtain a polynomial SU(N )-valued loop.…”
Section: π N (T → R) := P N (T) =mentioning
confidence: 96%
“…The main result of the paper is the following Jackson-type estimate for the Hölder classes Lip α (T → SO(N )) of loops: In a previous paper [7] we proved that the approximation of an SU(N )-loop belonging to a Hölder-Zygmund class Lip α , α > 1/2, by a polynomial SU(N )-loop of degree ≤n is of order O(n −α/(1+α) ) as n → ∞. This approximation rate was significantly improved when employing higher-order splitting methods [8], at least for α > 1.…”
Section: π N (T → R) := P N (T) =mentioning
confidence: 99%
See 3 more Smart Citations