Proposes uniformly accurate Particle-In-Cell multiscale methods for 3D Vlasov equations with strong, varying-direction magnetic fields, with error and cost independent of field strength.
Averaging of highly-oscillatory transport equations
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abstract
In this paper, we develop a new strategy aimed at obtaining high-order asymptotic models for transport equations with highly-oscillatory solutions. The technique relies upon recent developments averaging theory for ordinary differential equations, in particular normal form expansions in the vanishing parameter. Noteworthy, the result we state here also allows for the complete recovery of the exact solution from the asymptotic model. This is done by solving a companion transport equation that stems naturally from the change of variables underlying high-order averaging. Eventually, we apply our technique to the Vlasov equation with external electric and magnetic fields. Both constant and non-constant magnetic fields are envisaged, and asymptotic models already documented in the literature and re-derived using our methodology. In addition, it is shown how to obtain new high-order asymptotic models.
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math.NA 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
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Uniformly accurate methods for three dimensional Vlasov equations under strong magnetic field with varying direction
Proposes uniformly accurate Particle-In-Cell multiscale methods for 3D Vlasov equations with strong, varying-direction magnetic fields, with error and cost independent of field strength.