1990
DOI: 10.1007/978-3-642-74349-8
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Tables of Fourier Transforms and Fourier Transforms of Distributions

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Cited by 99 publications
(52 citation statements)
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“…The relaxation time found using this formulation is | ln η| 2 and so is in agreement with that found by Craig & McClymont (1991;1993). Craig et al (2005) comment that it is surprising that fluid viscosity has been neglected in previous studies, and state that the leading terms in the viscous stress tensor actually dominate the plasma resistivity by many orders of magnitude for typical coronal plasmas (as emphasised by Hollweg 1986).…”
Section: Why Is This Area Of Study Interesting or Important?supporting
confidence: 86%
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“…The relaxation time found using this formulation is | ln η| 2 and so is in agreement with that found by Craig & McClymont (1991;1993). Craig et al (2005) comment that it is surprising that fluid viscosity has been neglected in previous studies, and state that the leading terms in the viscous stress tensor actually dominate the plasma resistivity by many orders of magnitude for typical coronal plasmas (as emphasised by Hollweg 1986).…”
Section: Why Is This Area Of Study Interesting or Important?supporting
confidence: 86%
“…The first investigation that specifically made the extension away from polar symmetry was performed by Ofman (1992) and Ofman et al (1993), who performed nonlinear, resistive 2D MHD calculations of the reconnection in the stressed null point and obtained the | ln η| 2 scaling law numerically, as well as solving the linear dispersion relation (equation 15) for all azimuthally nonsymmetric perturbations (m > 0) analytically, in agreement with the results of Craig & McClymont (1991;1993) and Hassam (1992). However, the authors also stressed the significance of the choice of boundary condition, and the strong influence they have on the permissible solutions.…”
Section: Why Is This Area Of Study Interesting or Important?supporting
confidence: 58%
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“…TWO-DIMENSIONAL NETWORKS Our approach for two-dimensional networks is completely different from the approach followed in the one-dimensional case. Note that the approach that leads to the tight upper bound for one-dimensional networks heavily depends on the existence of an explicit formula (15) for the determinant in (13) in the special case δ = 1. This allows to study the configuration of nodes that maximize this determinant, in terms of which we are able to upper bound the behavior of (9) for any random configuration.…”
Section: Proof Of Theorem 21: Part IImentioning
confidence: 99%