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Vector potential

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In vector calculus, a vector potential is a vector field whose curl is a given vector field. This is analogous to a scalar potential, which is a scalar field whose negative gradient is a given vector field.

Formally, given a vector field v, a vector potential is a vector field A such that

[ \mathbf = \nabla \times \mathbf. ]
If a vector field v admits a vector potential A, then from the equality
[\nabla \cdot (\nabla \times \mathbf) = 0]
(divergence of the curl is zero) one obtains
[\nabla \cdot \mathbf = \nabla \cdot (\nabla \times \mathbf) = 0,]
which implies that v must be a solenoidal vector field.

An interesting question is then if any solenoidal vector field admits a vector potential. The answer is affirmative, if the vector potential satisfies certain conditions.

Theorem

Let

[\mathbf : \mathbb R^3 \to \mathbb R^3]
be solenoidal vector field which is twice continuously differentiable. Assume that v(x) decreases sufficiently fast as ||x||→∞. Define

[ \mathbf (\mathbf) = \frac \nabla \times \int_ \frac (\mathbf)} -\mathbf \right\|} \, d\mathbf. ]
Then, A is a vector potential for v, that is,
[\nabla \times \mathbf =\mathbf. ]
A generalization of this theorem is the Helmholtz decomposition which states that any vector field can be decomposed as a sum of a solenoidal vector field and an irrotational vector field.

Nonuniqueness

The vector potential admitted by a solenoidal field is not unique. If A is a vector potential for v, then so is

[ \mathbf + \nabla m ]
where m is any continuously differentiable scalar function. This follows from the fact that the curl of the gradient is zero.

See also

References

 


From Wikipedia, the Free Encyclopedia. Original article here. Support Wikipedia by contributing or donating.
All text is available under the terms of the GNU Free Documentation License See Wikipedia Copyrights for details.

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