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Abstract: In this paper, a new rigorous numerical method to compute fundamental matrix solutions of non-autonomous linear differential equations with periodic coefficients is introduced. Decomposing the fundamental matrix solutions Φ(t) by their Floquet normal forms, that is as product of real periodic and exponential matrices Φ(t) = Q(t)e Rt , one solves simultaneously for R and for the Fourier coefficients of Q via a fixed point argument in a suitable Banach space of rapidly decaying coefficients. As an application, t… Show more

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Cited by 30 publications
(43 citation statements)
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References 37 publications
(70 reference statements)
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“…Again, as a general statement, a larger growth for μ k allows a smaller choice of M. For two-dimensional PDE problems the coefficient α (3) k rapidly grows to large values, hence the parameter M needs to be selected quite large. Our situation is even worst due to the presence ofq = γ −1 that multiply the effect of α (3) k . To have a quantitative idea, consider the family of solutions labelled with (0, 3) in Fig.…”
Section: A Priori Analysis Of the Radii Polynomialsmentioning
confidence: 91%
See 1 more Smart Citation
“…Again, as a general statement, a larger growth for μ k allows a smaller choice of M. For two-dimensional PDE problems the coefficient α (3) k rapidly grows to large values, hence the parameter M needs to be selected quite large. Our situation is even worst due to the presence ofq = γ −1 that multiply the effect of α (3) k . To have a quantitative idea, consider the family of solutions labelled with (0, 3) in Fig.…”
Section: A Priori Analysis Of the Radii Polynomialsmentioning
confidence: 91%
“…The parameter M must be chosen large enough so that μ k remains reasonable larger than α (3) k for any k / ∈ F M . Again, as a general statement, a larger growth for μ k allows a smaller choice of M. For two-dimensional PDE problems the coefficient α (3) k rapidly grows to large values, hence the parameter M needs to be selected quite large.…”
Section: A Priori Analysis Of the Radii Polynomialsmentioning
confidence: 99%
“…These methods could be used in order to provide mathematically rigorous bounds on the initial data for the methods of the present work, Remark 1.2 (Validated Numerics). Combining the work of [80] with the techniques of the present work will lead to methods for obtaining mathematically rigorous bounds on the truncation error associated with our parameterization. See also the discussion in Section 5 of [47].…”
Section: Introductionmentioning
confidence: 99%
“…We make no attempt to review the relevant literature on spectral methods. The interested reader can consult for example [64,48,59,71,72,80].…”
Section: Introductionmentioning
confidence: 99%
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