Poloidal–toroidal decomposition

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In vector calculus, a topic in pure and applied mathematics, a poloidal–toroidal decomposition is a restricted form of the Helmholtz decomposition. It is often used in the spherical coordinates analysis of solenoidal vector fields, for example, magnetic fields and incompressible fluids.[1]

Definition

Template:Further

For a three-dimensional vector field F with zero divergence

𝐅=0,

this 𝐅 can be expressed as the sum of a toroidal field 𝐓 and poloidal vector field 𝐏

𝐅=𝐓+𝐏

where 𝐫 is a radial vector in spherical coordinates (r,θ,ϕ). The toroidal field is obtained from a scalar field,Ψ(r,θ,ϕ),Template:Sfn as the following curl,

𝐓=×(𝐫Ψ(𝐫))

and the poloidal field is derived from another scalar field Φ(r,θ,ϕ),Template:Sfn as a twice-iterated curl,

𝐏=×(×(𝐫Φ(𝐫))).

This decomposition is symmetric in that the curl of a toroidal field is poloidal, and the curl of a poloidal field is toroidal, known as Chandrasekhar–Kendall function.Template:Sfn

Geometry

A toroidal vector field is tangential to spheres around the origin,Template:Sfn

𝐫𝐓=0

while the curl of a poloidal field is tangential to those spheres

𝐫(×𝐏)=0.Template:Sfn

The poloidal–toroidal decomposition is unique if it is required that the average of the scalar fields Ψ and Φ vanishes on every sphere of radius r.Template:Sfn

Cartesian decomposition

A poloidal–toroidal decomposition also exists in Cartesian coordinates, but a mean-field flow has to be included in this case. For example, every solenoidal vector field can be written as

𝐅(x,y,z)=×g(x,y,z)𝐳^+×(×h(x,y,z)𝐳^)+bx(z)𝐱^+by(z)𝐲^,

where 𝐱^,𝐲^,𝐳^ denote the unit vectors in the coordinate directions.Template:Sfn

See also

Notes

Template:Reflist

References