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Poloidal–toroidal decomposition : ウィキペディア英語版
Poloidal–toroidal decomposition
In vector calculus, a poloidal–toroidal decomposition is a restricted form of the Helmholtz decomposition that is often used in the spherical-coordinates analysis of solenoidal vector fields, for example, magnetic fields and incompressible fluids. For a three-dimensional F, such that
: \nabla \cdot \mathbf = 0,
can be expressed as the sum of a toroidal and poloidal vector fields:
:\mathbf = \mathbf + \mathbf = \nabla \times \Psi \mathbf + \nabla \times (\nabla \times \Phi \mathbf),
where \mathbf is a radial vector in spherical coordinates (r,\theta,\phi) , and where \mathbf is a toroidal field
: \mathbf = \nabla \times \Psi \mathbf
for scalar field \Psi (r,\theta,\phi), and where \mathbf is a poloidal field
: \mathbf = \nabla \times \nabla \times \Phi \mathbf
for scalar field \Phi (r,\theta,\phi). This decomposition is symmetric in that the curl of a toroidal field is poloidal, and the curl of a poloidal field is toroidal. A toroidal vector field is tangential to spheres around the origin
: \mathbf \cdot \mathbf = 0 ,
while the curl of a poloidal field is tangential to those spheres
: \mathbf \cdot (\nabla \times \mathbf) = 0 .
The poloidal–toroidal decomposition is unique if it is required that the average of the scalar fields \Psi and \Phi vanishes on every sphere of radius r .
== Cartesian decomposition ==

A poloidal–toroidal decompositions also exist in Cartesian coordinates, but a mean-field flow has to included in this case. For example, every solenoidal vector field can be written as
: \mathbf(x,y,z) = \nabla \times g(x,y,z) \hat}) + b_x(z) \hat},
where \hat}, \hat{\mathbf{z}} denote the unit vectors in the coordinate directions.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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